CDM-PDD-FORM

Version 10.1 Page 1 of 71

Project design document form

(Version 10.1)

Complete this form in accordance with the instructions attached at the end of this form.

BASIC INFORMATION

Title of the project activity Energy efficiency improvement of residential air-conditioner with

switching to low GWP refrigerant in Brazil

Scale of the project activity Large-scale

Small-scale

Version number of the PDD Version 1.0

Completion date of the PDD 19/07/2019

Project participants LG Electronics do Brasil Ltda.

Host Party Brazil

Applied methodologies and

standardized baselines

AM0120: Energy-efficient refrigerators and air-conditioners

(Version 01.0)

Sectoral scopes linked to the

applied methodologies Sectoral scope 03 : Energy Demand

Estimated amount of annual average

GHG emission reductions 75,140 tCO2e/yr

CDM-PDD-FORM

Version 10.1 Page 2 of 71

SECTION A. Description of project activity

A.1. Purpose and general description of project activity

The project activity is selling enhanced energy efficient air-conditioners by applying advanced

technologies with low GWP refrigerants to Brazilian customers. The project is developed, financed

and implemented by LG Electronics do Brasil Ltda (hereinafter referred as the “LGEBR”) which is

one of the leading manufacturers of domestic air-conditioners in Brazil with a market share of 13%

in 2018. The project will contribute to reduce carbon dioxide emissions from demand side by

consuming less electricity during air-conditioners use, and to mitigate global warming effect by

switching to low Global Warming Potential (hereinafter referred as the “GWP”) refrigerants applied

to air-conditioners.

In the project activity, the electricity consumption of air-conditioner will be decreased over the period

from 2020 to 2030 (average 3.0%). This is a radical change in terms of energy efficiency

improvement and technology because LGEBR has been putting high focus on the energy efficiency

segmentation in domestic market. Moreover, the refrigerant gas used in project air-conditioners is

R32 refrigerant which is widely known as a substitute for refrigerants such as R410a and R22. R32

refrigerant gas is a pure HFC, with zero impact on the ozone layer and much lower global warming

potential than R410a and R22 refrigerant gases.

Reducing greenhouse gas emission:

The purpose of the project activity is reducing Greenhouse gas (hereinafter referred as the “GHG”)

emission by manufacturing and selling more energy efficient air-conditioners using lower GWP

refrigerants to the customers. The scenario which was existed prior to the start of the implementation

of the project activity in continuation because Brazilian customers are much inclined towards price

rather than energy efficient air-conditioner using lower GWP refrigerants. However, to maintain the

technical leadership in the market, LGEBR has always launched 1 or 2 pilot models of the energy

efficient air-conditioners Furthermore, selling the air-conditioners using R32 is considered as a first-

of-its-kind project in Brazil. To improve the energy efficiency and use R32 LGEBR has imported

technologies from its parent company. The parent company, LG Electronics Head office in Korea,

has spent enormous costs for improving its technologies. Before the project, current available

technologies in the market were applied to the air-conditioners. However, innovative technology

measures are transferred from Korea for this project. The technologies include compressor EER

improvement, lower GWP refrigerants (R32) application and system/cycle optimization.

Project Activity`s contribution to Sustainable Development:

The sustainable development indicators stipulated by the Government of Brazil (Host Country) in the

interim approval guidelines for CDM projects are as follows:

The social well being is expected in terms of employment generation in Sao Paulo and Manaus

where operational sites are located. LGEBR currently hires 98% of local employees and manpower

will further increase as per the expected expansion. Moreover, the project will help Brazilian

customers to reduce their electricity bills. It is understood that energy efficient air-conditioners

contribute towards the cost savings to consumers than any other home appliances in Brazil.

Responding environmental regulation from Montreal Protocol on Substance that Deplete the

Ozone Layer is necessary. As per the Kigali Amendment to the Montreal Protocol(COP28), more

than 170 parties has agreed with phase-down HFCs by stages which is widely used for air

conditioners. HFCs are commonly used alternatives to ozone depleting substances (ODS). While

not ozone depleting substances themselves, HFCs are greenhouse gases which can have high or

very high global warming potentials (GWPs), ranging from about 12 to 14,800. All the parties, for

advanced countries from 2019 and for developing countries from 2024 to 2029, have to phase-down

HFCs by stages. As long as Brazil is in the group of A2L, the usage and emission of HFCs shall be

reduced by below schedule. The numbers on the lines mean percent of the total quantity.

CDM-PDD-FORM

Version 10.1 Page 3 of 71

Figure 1. Schedule for usage and emission of HFCs

Furthermore, there are regulations which Brazil has to respond for GWP of refrigerants. As per its

regulations, manufacturing and using of the HCFC refrigerants such as R22 and R123 in Brazil will

have to be zero in 2040. The refrigerant for the project activities is R32 and it is widely known as an

alternative for R22 which is regulated to use and manufacture until 2040 . LGEBR will promote its

dissemination with the project activity. The summary of the regulation about GWP and ODP is below.

Figure 2. Schedule for GWP and ODP regulation of HFCs

The environmental benefits will be made by conserving fossil fuel and other non-renewable natural

resource of total electricity supply in Brazil. As a consequence of the project activity, approximately

87,169 MWh of the electricity consumption in Brazil will be reduced during the whole crediting period.

LGEBR will continuously make an effort to research and develop the efficiency of the project air

conditioners. Moreover, as a consequence of the project activity, the GHG emission of 7,5140 tons

of CO2e per year will be mitigated. The project has the capacity of 751,401 tons of CO2e over the

crediting period.

The technology transfer shall be brought from technical cooperation and license agreement

between LGEBR and LG Electronics Inc. Head Office in Korea which means that LG Electronics

CDM-PDD-FORM

Version 10.1 Page 4 of 71

Head Office in Korea is supposed to support the necessary technologies related to this CDM project

to LGEBR. Since technologies like usage of low GWP refrigerant (i.e. R32), high efficient compressor

and heat exchanger are fairly complicated, comparatively difficult to be applied, uncommon in the

market, training and education should be involved. Especially for the use of the refrigerant R32,

rigorous training to service engineers is necessary since the gas is highly pressured.

Though it is not a requirement for CDM registration, LGEBR has been doing Cooperative Social

Responsibility (hereinafter referred as the “CSR”) activities. The philosophy of LGEBR is about

people and their adherence to the fundamentals of the company. Respecting human dignity is

paramount in order to create ethical, fair and respectful management. For this reason, LGEBR wants

to be part of the local community and to be present in the daily life of the residents, making, together

with employees, transformations through social and environmental initiatives.

LGEBR has CSR annual calendar to support local community and makes all initiatives together with

employees. Activities on CSR in Brazil are below.

(17th~22 th, June, 2016) Winter clothes campaign / Employees and CA’s team

(1th~8 th, May, 2017) Winter clothes campaign / Employees and CA’s team

(21th, June, 2017) Community vegetable garden(World Environment Day) / President, CA's

team, Trade Union and other employees

(1th~13 th, Dec, 2017) Personal hygiene products campaign / Employees and CA’s team

(16th~26 th, Apr, 2018) Milk donation campaign / Employees and CA’s team

(12th~30 th, Nov, 2018) Milk donation campaign / Employees and CA’s team

For 2019~2020, LGEBR will keep to support the local community with CSR initiatives. The plan for

the CSR activities in 2019 is below.

Action Month(2019) Charge

S.O.S Berumadinho January Employees and CA’s team

Clothes donation May Employees and CA’s team

World Environment Day June Employees and CA’s team

Milk donation July Employees and CA’s team

Food donation September Employees and CA’s team

A.2. Location of project activity

Host party : Brazil

Region/State : All states or territories within Brazil (Consisted of 26 states and 1 federal district)

LGEBR sites are located in 3 different regions, consisting of a sales office and 2 manufacturing

factories. Factory manufacturing air-conditioners is located in Manaus, and other one is in Taubate.

Head sales office is in Sao Paulo. The manufacturing factory in Manaus is approximately 20 km

away from Eduardo Gomes International Airport and the head office is approximately 6 km away

from Congonhas International Airport in Sao Paulo. Information on the address and locations are

below.

CDM-PDD-FORM

Version 10.1 Page 5 of 71

Figure 3. LGEBR Head office in Sao Paulo

LGEBR Head office address is Av. Doutor Chucri Zaidan 940 – 3º andar – São Paulo/SP – 04583-

110. Its geographical coordination is 23°37'20.1"S 46°41'58.1"W.

Figure 4. LGEBR Manufacturing site in Manaus

LGEBR Manufacturing site in R. Javarí, 1004 - Distrito Industrial I, Manaus - AM. Its geographical

coordination is 3°07'08.6"S 59°57'54.5"W.

CDM-PDD-FORM

Version 10.1 Page 6 of 71

The energy consumption decrease and low GWP refrigerants leakage through the usage of

LGEBR’s energy efficient air-conditioners will occur in all states or territories (i.e. Consisted of 26

states and 1 federal district) within Brazil where LGEBR Air-conditioners sales exist.

A.3. Technologies/measures

The middle and long term plans of the energy improvement in the project activity is below:

LGEBR will introduce several technologies to bring its energy efficiency improvement. Technology

options include followings;

1. Upgrade to Highly efficiency compressor with switching low GWP refrigerant

2. Improving cooling efficiency by applying high-efficiency heat exchanger, fan technology,

inverter & motor technology, baring & tribology & surface treatment technology and

optimal performance prediction technology based on simulation

The detailed energy improvement plans of LGEBR regarding the project activity during the crediting

period are as follows;

Year Energy

Improvement

Final Plan

(in the PDD) Plan

2019 - - Upgrade to Highly efficiency compressor .

2020 2% Improving cooling efficiency by applying high-efficiency heat

exchanger, fan technology, inverter & motor technology, baring &

tribology & surface treatment technology and optimal

performance prediction technology based on simulation

2021 2% “

2022 5% Upgrade to Highly efficiency compressor with switching low GWP

refrigerant for split type RACs.

2023 3% Improving cooling efficiency by applying high-efficiency heat

exchanger, fan technology, inverter & motor technology, baring &

tribology & surface treatment technology and optimal

performance prediction technology based on simulation

2024 3% “

2025 3% “

2026 3% “

2027 3% “

2028 3% “

The refrigerant gas R32 used in the project activity is below:

Characteristics and uses

R32 refrigerant gas is a pure HFC, which is far from ODP and of low GWP, used in its pure form in

now mall air-conditioning and refrigeration equipment as well as having being commonly used as a

component in various HFC mixture.

R32 is suitable for new equipment specifically designed for R-22, in applications that used to use R-

410A.

CDM-PDD-FORM

Version 10.1 Page 7 of 71

European Regulation (EC) NO. 517/2014 is ought to enforce the sellers to allow to import or sell air

conditioners, of which the refrigerant GWP shall be under 750, for the refrigerant injection amount

under 3 kg in 2025.

Some of its main characteristics are:

It is a more energetically efficient refrigerant than R410A and has a GWP of 677, which is

68% lower than R410A.

Its refrigeration capacity is similar to that of R22 and R502.

The equipment requires less refrigerant charge compared to R410A.

Same tubing and POE oils as R-410A.

Safety classification: A2L, low toxicity and low flammability

Applications:

Initially used in some new air-conditioning equipment, it is also starting to be considered as

an alternative at low temperature applications.

It has been used as component in well-known industry HFC mixtures such as R407C,

R410A, R442A (RS50), R407F, R453A (RS70), etc.

R32 is classified as “flammable” and is therefore not a refrigerant designed for refits of

R410A.

Conditions for service and work

Given that R32 is a pure refrigerant, it can be transferred in both the liquid phase and gas phase.

As it is a pure refrigerant, it has no temperature glide. In the event of leak, the equipment can be

filled directly without the need to recover the remaining refrigerant in the circuit.

Lubricants1

R32 is compatible with polyester oils. In air-conditioning applications, the same oils used with R410A

will be valid for R32.

Environmental Information

R32 is free from chlorine, and therefore has an ODP (ozone depletion potential) of 0.

R32 has a low potential for directly affecting global warming, thereby reducing CO 2 emissions in the

event of direct leakage.

Safety

R32 is listed as “mildly flammable” according to ASHRAE 34 and the ISO 817 standard, and it woul

d only ignite if its concentration were between the lower and upper flammability limits:

Lower flammability limit Upper flammability limit

R32 concentration 13.3% 29.3%

R32 is classified as A2L (Group L2), i.e., low flammability as the combustion speed is rather low

and it is non-toxic.

1 According to a US study by the Air-conditioning and Refrigeration Technology Institute, Inc., published in 1993, it was observed that

R32 was miscible in all concentrations of synthetic POE oils from temperatures below -10°∁. This point must be taken into account for

mixtures developed for working at low refrigeration temperatures.

CDM-PDD-FORM

Version 10.1 Page 8 of 71

Components

Chemical name % by weight EC No. CAS No. REACH Registration No.

Difluoromethane R32 100 200-839-4 75-10-5 01-2119471312-47-0000

Physical properties

PHYSICAL PROPERTIES Unit R-32

Formula CH2F2

Molecular weight 52.024

Liquid density (25°C) kg/l 0.9588

Boiling point (1 atm) °C -51.7

Liquid viscosity (20°C) cP 0.121

Vapour viscosity (20°C) cP 0.01238

Surface tension (20°C) mN/m 7.0

Vapor pressure (25ºC) Bar 16,897

Specific heat of liquid (25°C) kJ/kg.K 1.884

Specific heat of vapour (25°C) kJ/kg.K 0.82633

Freezing point °C -136

Critical temperature °C 78,35

Critical pressure bar 58.16

Critical density kg/l 0.429756

Heat of vaporisation at boiling point (25°C) kJ/kg 270.22

Vapour density (Air=1) 1,86

Vapour pressure at 20°C MmHg 10319

Vapour density at 20°C g/ml 0.98

Limits of combustion (High) % v/v 31.0 ASTM 681-85

Limits of combustion (Low) % v/v 14.0 ASTM 681-85

Solubility of R32 in water at 25°C Log 0.21

COP 95

Flammability A2L

ODP 0

GWP 677

Toxicity NO

Containers for R32

Refillable containers for R32 must meet the following specifications:

Upper part of container red in colour (flammable).

Left screw thread (an adaptor is required to connect to the charge hoses).

Minimum pressure test: 48 bar.

The refrigerant gas R32 used in the project activity is widely considered as the substitute for the

other refrigerant gases. Comparison R32 and the other refrigerant gases is below:

CDM-PDD-FORM

Version 10.1 Page 9 of 71

Contents

Low Pressure Medium Pressure High Pressure

R-123

R-

1233zd

R-

514A

R-

134a

R-

513A

R-

1234ze

R-

1234yf

R-22 R-

410A

R-

452B

R-

454B R-32

Flammab

ility

ASHRAE

class BV (cm/s)

Non

(1)

n/a

Non

(1)

n/a

Non

(1)

n/a

Non

(1)

n/a

Non

(1)

n/a

Slight

(2L)

0.0

Slight

(2L)

1.5

Non

(1)

n/a

Non

(1)

n/a

Slight

(2L)

3.0

Slight

(2L)

3.8

Slight

(2L)

6.7

Toxicity

ASHRAE

Class OEL

Higher

(B)

50

Lower

(A)

800

Higher

(B)

320

Lower

(A)

1000

Lower

(A)

650

Lower

(A)

800

Lower

(A)

500

Lower

(A)

1000

Lower

(A)

1000

Lower

(A)

870

Lower

(A)

850

Lower

(A)

1000

Efficiency (COP) 8.95 8.85 8.91 8.47 8.28 8.45 8.17 8.48 7.99 8.14 8.15 8.22

Capacity Change base

line

~35%

gain

~5%

loss

base

line similar

~25%

loss

~5%

loss -

base

line

~2%

loss

~3%

loss

~9%

gain

GWP2 79 1 2 1300 573 1 1 1760 1924 675 466 677

Atmospheric Life 1.3

years 26

days 22

days 13.4 years

5.9 years

16 days

11 days

11.9 years

17 years

5.5 years

3.6 years

5.2 years

1. Baseline scenario:

Baseline scenario is the continuation of the current situation which means the existing domestic air -

conditioners with high GWP refrigerants will be used without any energy efficiency measures until

the end of their business as usual lifetime. (Autonomous technology development of refrigeration

appliance would spur the introduction of new high efficient flagship air-conditioners sometimes,

however this would not contribute a lot to energy consumption reduction and switching to low GWP

refrigerants.) The scenario of retrofitting old, low-efficient air-conditioners has technological barrier

and the scenario of producing high-efficient air-conditioners without CDM benefit faces significant

investment barrier since Brazilian consumers are rather pragmatic-oriented which means the

customers are more sensitive to the price fluctuations. Moreover, switching existing refrigerant gases

to low GWP refrigerant gas has also technical barrier as all the situation for maintenance such as

recharging gases and repairing air-conditioners is set for existing refrigerant gases. The introduction

of a different kind of refrigerant gases is needed a lot of efforts like educating service engineers and

reorganizing equipment.

Consequently, even though thermal power generation rate is remarkably low in Brazil, an increase

of the GHG emission by electricity consumption is unavoidable as old and low -efficient air

conditioners would keep using in baseline scenario. Furthermore, emission form recharging high

GWP refrigerant gases are expected, resulting in high volume of CO2 emissions due to the leakage

of existing refrigerant gases in Brazil through baseline scenario.

2. Emission source:

The main source of project emission is carbon dioxide from a single electricity grid in Brazil during

the lifetime of project air-conditioners. CO2 will be the main emission source. NOx and SOx are

negligible in terms of its quantity in Brazil.

Additional emission source is HFC related gas from existing air-conditioners used for refrigeration

cycle. Currently R410a (GWP 1924) is used as refrigerant gases and R32 (GWP 677) will be used

for the project air-conditioners during and after the project period. R410a is mixed 50% of HFC32

with 50% of HFC125.

3. Energy and GHG flow:

There is no major change in types of services for the project. Although all concepts and principles

remain the same, levels of services in terms of electricity consumption and of emitting refrigerants

will be changed by manufacturing and selling more efficient air-conditioners using low GWP

refrigerants to end users in the Brazil domestic market. This would not have been provided from the

baseline scenario since this cannot be done by retrofitting old air-conditioners because of

2 GREENHOUSE GAS PROTOCOL, 2016, Global Warming Potential Values

(https://www.ghgprotocol.org/sites/default/files/ghgp/Global-Warming-Potential-Values%20%28Feb%2016%202016%29_1.pdf)

CDM-PDD-FORM

Version 10.1 Page 10 of 71

technological barrier. No mandated regulation on the appliance energy consumption and low GWP

refrigerant gas in Brazil work as the legal barrier in this case.

Figure 5. Flow of energy and refrigerants involved in the project activity

4. Mass flow and project boundary:

As per “AM0120: Energy-efficient refrigerators and air-conditioners - Version 01.0”, the project

boundary is the physical, geographical location of all equipment and systems af fected by the project

activity Therefore, from project air-conditioners manufacturing site to end users. The project

boundary is only considered for new sales air-conditioners and for the end users in household

purposes because of a technical barrier.

CDM-PDD-FORM

Version 10.1 Page 11 of 71

Figure 6. Flow of mass involved in the project activity

Stepwise percolation of LGEBR’s air-conditioners into the market in Brazil is summarized as

follows;

Step1: Project air-conditioners produced and imported from LGEBR factories in Brazil are

delivered to LGEBR’s warehouses in Brazil.

Step2: Project air-conditioners in the warehouse is sold to end users through local dealer or

distributor such as air-con specialty, open and mass markets and E-commerce.

Step3: End users within the same grid upload the information about the air-conditioners such as

address, model, usage, etc on LGEBR`s website(https://www.lg.com/br/suporte) for its warranty.

In step 3, the registration of the project air-conditioners is absolutely important for monitoring this

project because, the project targets only new air-conditioners for residential and households use in

the middle of registered air-conditioners on the LGEBR`s website. As a result, it does not aim at all

the air-conditioners sold but aims at those for only residential and households use. LGEBR suggest

that consumer register the air-conditioners on the LGEBR`s website for its warranty when it is sold.

A.4. Parties and project participants

Parties involved Project participants

Indicate if the Party involved

wishes to be considered as

project participant (Yes/No)

Brazil

(Host Country) LG Electronics do Brasil Ltda. No

A.5. Public funding of project activity

No Official Development Agency(ODA) funding is used for the project activity

CDM-PDD-FORM

Version 10.1 Page 12 of 71

A.6. History of project activity

LGEBR confirm that the proposed CDM project activity is neither registered as a CDM project activity

nor included as a component project activity(CPA) in a registered CDM programme of activities(PoA).

Also the proposed CDM project activity is not a project activity that has been deregistered.

A.7. Debundling

The scale of the proposed CDM project activity is large. Not applicable.

SECTION B. Application of selected methodologies and standardized baselines

B.1. Reference to methodologies and standardized baselines

The proposed project activity applies the following methodology:

AM0120: Energy-efficient refrigerators and air-conditioners - Version 01.0;

https://cdm.unfccc.int/methodologies/DB/3USXGBI5RRLI5FXVG90SIYCOD9W9P1

The methodology refers to the following approved methodological tools and guidelines etc:

TOOL29: Determination of standardized baselines for energy-efficient refrigerators and air-

conditioners (hereafter RAC tool);

https://cdm.unfccc.int/methodologies/PAmethodologies/tools/am-tool-29-v1.pdf

TOOL28 “Calculation of baseline, project and leakage emissions from the use of refrigerants”

(hereafter refrigerant tool);

https://cdm.unfccc.int/methodologies/PAmethodologies/tools/am-tool-28-v1.pdf

“Guidelines for quality assurance and quality control of data used in the establishment of

standardized baselines”;

https://cdm.unfccc.int/filestorage/e/x/t/extfile-20140605162815656-

meth_guid46.pdf/meth_guid46.pdf?t=bGV8cHAzdHBkfDA9I7nlqicbX2oQa_4bJrF9

“Procedure for development, revision, clarification and update of standardized baselines”;

https://cdm.unfccc.int/filestorage/e/x/t/extfile-20180919142622912-

Meth_Proc07.pdf/Meth_Proc07.pdf?t=YWJ8cHAzdHMyfDC_AoOAzfQ86QdZ_rII80LB

“Standard for data coverage and validity of standardized baselines”.

https://cdm.unfccc.int/filestorage/e/x/t/extfile-20180905160653237-

MethSB_Stan01.pdf/MethSB_Stan01.pdf?t=ZGt8cHAzdHVkfDCkL6vph-

QhWZGMMfBynTrA

B.2. Applicability of methodologies and standardized baselines

The Chosen methodology is applicable to project activities undertaken by manufacturer of energy -

efficient air conditioners used low GWP refrigerants. The specific reasons why this project activity is

applicable are under the following conditions which are based on the applicability of the methodology,

“AM0120: Energy-efficient refrigerators and air-conditioners - Version 01.0”

No. Applicability condition Project Implementation

01 Project units are Refrigerators and Air

Conditioners3 that use refrigerants and PUR foam

blowing agents with no ozone depleting potential

The refrigerant gas used in the project air-

conditioners is R32 with no ozone depleting

potential(ODP). As per IPCC Fifth

3 This excludes centralized and packaged RAC systems.

CDM-PDD-FORM

Version 10.1 Page 13 of 71

No. Applicability condition Project Implementation

(ODP) and low GWP (e.g. Refrigerants and

blowing agents such as Hydrofluoroolefins or

Hydrocarbons with GWPs<10)

Assessment Report(AR5), its GWP is 677.

R32 has much lower GWP comparing to

R410a(1924) and R22(1760) which are

commonly used in the air-conditioners in

Brazil.

02 The households receiving project units are

connected to a national or regional electricity grid

The project targets only new air-conditioners

for residential and households use in the

middle of registered air-conditioners on the

LGEBR`s website in Brazil. Their electricity

is supplied by Brazil electricity grid and its

emission factor (combined margin) for CDM

projects is officially announced by Ministry of

Science, Technology, Innovation and

Communications every year.

B.3. Project boundary, sources and greenhouse gases (GHGs)

The spatial extent of the project boundary encompasses the whole Brazil which is the host country

for the project activity, covering the end users that bought the project air-conditioners, and the

project electricity system that these end-users are connected to single Brazilian grid. The spatial

extent of the project electricity system is as per that defined in the latest version of "Tool to

Calculate the Emission Factor for an Electricity System", Version 7.0. Latest version of the tool has

been used.

Emissions sources included or excluded from the project boundary is as follows:

Source GHG Included? Justification/Explanation

Ba

se

lin

e

Power plants servicing the

project electricity system

CO2 Yes Major GHG emissions from power generation

CH4 No Negligible

N2O No Negligible

Recharging refrigerants

from existing air-

conditioners leakage

HFC Yes Major GHG emissions from recharging refrigerants

Pro

jec

t a

cti

vit

y Power plants servicing the

project electricity system

CO2 Yes Major GHG emissions from power generation

CH4 No Negligible

N2O No Negligible

Recharging refrigerants

from new air-conditioners

leakage

HFC Yes Major GHG emissions from recharging refrigerants

B.4. Establishment and description of baseline scenario

A benchmark approach is applied to establish the baseline scenario and demonstrate additionality

according to the “AM0120: Energy-efficient refrigerators and air-conditioners - Version 01.0” and

“RAC Tool”. It is considered that the baseline scenario is the manufacturing of existing air-

conditioners in Brazil with the specific electricity consumption corresponding to the calculated

benchmark for the respective Energy Efficiency Ratio(EER), taking into account autonomous energy

efficiency improvement. Baseline scenarios for refrigerant gases in the project air-conditioners are

also set up as specific refrigerant emission of unit cooling capacity of air-conditioner model

depending on sorts and volume of the existing air-conditioner models in Brazil. As per RAC tool,

these are expressed by refrigerant SB. Please refer the section “Baseline emissions” below.

CDM-PDD-FORM

Version 10.1 Page 14 of 71

B.5. Demonstration of additionality

Identification of the baseline scenario and demonstration of additionali ty for new sales

RACs

According to the “AM0120: Energy-efficient refrigerators and air-conditioners - Version 01.0”, a

benchmark approach will be applied using the tool referred above section B.1 to establish the

baseline scenario and demonstrate additionality. Calculated benchmark for the respective Energy

Efficiency Ratio(EER), taking into account autonomous energy efficiency improvement wi ll be used

to calculate reduced electricity consumption from energy efficiency improvement. Specific refrigerant

emission of unit cooling capacity of air-conditioner model depending on existing air-conditioner

models in Brazil will be also used as the baseline scenario to calculate emission reduction from low

GWP refrigerant gas in this project.

As long as the annual electricity consumption or the electricity intensity of new RACs (e.g., kWh/litre/y

or kWh/cooling capacity/y) of a particular class and design, introduced by the project activity, is lower

than the benchmark established, the emission reductions for this class and design, calculated as per

the methodology, are deemed additional. In terms of the refrigerant, the project that is using R32

refrigerant for residential air-conditioners is the first-of-its-kind in Brazil. It is also deemed additional.

LGEBR will fulfil its requirements and demonstrate them at validation. A separate assessment of

additionality is therefore not required under this project. This approach is in line with the approved

“Guidelines for the establishment of the sector specific standardized baselines”.

B.6. Estimation of emission reductions

B.6.1. Explanation of methodological choices

1. Baseline emissions(BEy)

Baseline calculation for new sales air-conditioners;

This baseline accounts for introducing efficient new units (greenfield air-conditioners) and the

equations for calculating baseline energy use and emissions are as follows.

𝐵𝐸𝑦 =∑ 𝐸𝐹𝑔𝑟𝑖𝑑,𝑦 × 𝑛𝑗,𝑦 × 𝐸𝐶𝑎𝑛 × 𝑃𝑐𝑎𝑝,𝑗,𝑦𝑗

(1 − 𝑇𝐷𝑙𝑜𝑠𝑠,𝑦)

Where:

𝐵𝐸𝑦 = Baseline emissions in year y (tCO2e)

𝐸𝐶𝑎𝑛 = Baseline Electricity intensity factor (kWh/air-conditioner/cooling capacity/year)

𝑃𝑎𝑐𝑝,𝑗,𝑦 = Cooling capacity of the project air conditioners model j (kW)

𝑛𝑗,𝑦 = Number of air-conditioners model j introduced by the project activity

Emission factor for a electricity grid(EFgrid,y);

For baseline emission factor calculation, the six steps below should be followed:

STEP 1. Identify the relevant electricity systems;

STEP 2. Choose whether to include off-grid power plants in the project electricity system (optional);

STEP 3. Select a method to determine the operating margin (OM);

STEP 4. Calculate the operating margin emission factor according to the selected method;

STEP 5. Calculate the build margin (BM) emission factor;

STEP 6. Calculate the combined margin (CM) emissions factor

CDM-PDD-FORM

Version 10.1 Page 15 of 71

STEP 1. Identify the relevant electricity systems;

Considering the stated in the “Tool to calculate the emission factor for an electricity system_Version

7.04” and the fact that Brazilian DNA has published the Resolution no.8 issued on May 26th, 2008,

which defines the Brazilian Interconnected Grid as a single system that covers all the five

macrogeographical regions of the country (North, Northeast, South, Southeast and Midwest), the

boundaries of Brazilian electricity system are clearly defined.

STEP 2. Choose whether to include off-grid power plants in the project electricity system (optional);

Since the Brazilian DNA has made available the emission factor calculation based on information of

the grid power plants only, the off-grid power plants are not considered (Option I).

STEP 3. Select a method to determine the operating margin (OM);

The method adopted to calculate the operating margin is “Dispatch data analysis OM” (Option c).

The calculation is performed by the Brazilian DNA and made publicly available.

STEP 4. Calculate the operating margin emission factor according to the selected method;

The selected method is the "Dispatch data analysis OM".

The Dispatch Data emission factor (OM), is calculated as follows:

𝐸𝐹𝑔𝑟𝑖𝑑,𝑂𝑀−𝐷𝐷,𝑦 =∑ 𝐸𝐺𝑃𝐽,ℎ × 𝐸𝐹𝐸𝐿,𝐷𝐷,ℎℎ

𝐸𝐺𝑃𝐽,𝑦

Where:

𝐸𝐹𝑔𝑟𝑖𝑑,𝑂𝑀−𝐷𝐷,𝑦 = Dispatch data analysis operating margin CO2 emission factor in year y (tCO2e/MWh)

𝐸𝐺𝑃𝐽,𝑦 = Electricity displaced by the project activity in hour h of year y (MWh)

𝐸𝐹𝐸𝐿,𝐷𝐷,ℎ = CO2 emission factor for grid power units in the top of the dispatch order in hour h in

year y (tCO2/MWh)

𝐸𝐺𝑃𝐽,𝑦 = Total electricity displaced by the project activity in year y (MWh)

ℎ = Hours in year y in which the project activity is displacing grid electricity

𝑦 = Year in which the project activity is displacing grid electricity

EFEL,DD,h approach is defined by the Brazilian DNA who is the responsible for the calculation.

STEP 5. Calculate the build margin (BM) emission factor;

For the first crediting period, the build margin emission factor shall be updated annually, ex post

(Option 2). According to the tool, the build margin emission factor (BM) is calculated as follows:

𝐸𝐹𝑔𝑟𝑖𝑑,𝐵𝑀,𝑦 =∑ 𝐸𝐺𝑚,𝑦 × 𝐸𝐹𝐸𝐿,𝑚,𝑦𝑚

∑ 𝐸𝐺𝑚,𝑦 𝑚

Where:

𝐸𝐹𝑔𝑟𝑖𝑑,𝐵𝑀,𝑦 = Build margin CO2 emission factor in year y (tCO2/MWh)

𝐸𝐺𝑚,𝑦 = Net quantity of electricity generated and delivered to the grid by power unit m in

year y (MWh)

4 "If the DNA of the host country has published a delineation of the project electricity system and connected electricity systems, these

delineations should be used"

CDM-PDD-FORM

Version 10.1 Page 16 of 71

𝐸𝐹𝐸𝐿,𝑚,𝑦 = CO2 emission factor of power unit m in year y (tCO2/MWh)

𝑚 = Power units included in the build margin

𝑦 = Most recent historical year for which electricity generation data is available

The CO2 emission factor of each power unit m (EFEL,m,y) should be determined as per the tool in

Step 4 (a) for the simple OM, using options A1, A2 or A3, using for y the most recent historical year

for which electricity generation data is available, and using for m the power units included in the

build margin.

The power units included in the build margin are defined by the Brazilian DNA who is responsible

for the operating margin and build margin calculations. The results of these are made publicly

available in its web site for consultation.

STEP 6. Calculate the combined margin (CM) emissions factor

For calculation of combined margin emission factor the weighted average CM method (Option a)

should be used as the preferred option.

𝐸𝐹𝑔𝑟𝑖𝑑,𝐶𝑀,𝑦 = 𝐸𝐹𝑔𝑟𝑖𝑑,𝑂𝑀,𝑦 × 𝑊𝑂𝑀 + 𝐸𝐹𝑔𝑟𝑖𝑑,𝐵𝑀,𝑦 × 𝑊𝐵𝑀

Where:

𝐸𝐹𝑔𝑟𝑖𝑑,𝑂𝑀,𝑦 = Operating margin CO2 emission factor in year y (tCO2/MWh)

𝐸𝐹𝑔𝑟𝑖𝑑,𝐵𝑀,𝑦 = Build margin CO2 emission factor in year y (tCO2/MWh)

𝐸𝐹𝐸𝐿,𝑚,𝑦 = CO2 emission factor of power unit m in year y (tCO2/MWh)

𝑊𝑂𝑀 = Weighting of operating margin emissions factor (per cent)

𝑊𝐵𝑀 = Weighting of build margin emissions factor (per cent)

The calculation of the combined margin emissions factor shall use the following default values for

WOM and WBM:

WOM = 0.50 and WBM = 0.50 for the first, second and third crediting period.

Calculations available on Section B.6.3.

The baseline electricity intensity factor(ECan);

The baseline electricity intensity factor ECan is calculated with one of two options:

Approach 1 is based on EER of baseline air conditioners in a market or market segment;

Approach 2 is based on SEER of baseline air conditioners in a market or market segment.

In this project, approach 1 will be used to calculate the baseline electricity intensity factor(EC an)

considering available data from air-conditioners market in Brazil. However, If the SEER data for the

baseline electricity intensity factor is available, the table 1 and 2 in the Appendix 35 in RAC tool would

be used for its conversion to EER. As the efficiency data of all market models in Brazil is available,

the actual efficiency distribution of those models will be used. The efficiency data of all market models

in Brazil is from Brazil`s National Energy Conservation Labelling 6 about energy efficient air-

5 Air conditioner models have a wide range of sizes and efficiency classes, however typically a small number of manufacturers ( less

than 15) account for more than three fourths of the market share and in many countries one or two manufacturers command a high

market share. Therefore, average EER or SEER from these manufacturers is sufficient as it is representative. 6 ENCE - Etiqueta Nacional de Conservação de Energia

CDM-PDD-FORM

Version 10.1 Page 17 of 71

conditioners from INMETRO7. All air-conditioner models and efficiency data are referred to Appendix

4 in PDD.

Approach 1 Baseline electricity intensity factor is calculated as

𝐸𝐶𝑎𝑛 =ℎ𝑟𝑠𝑦 × 𝛽𝐿

𝐸𝐸𝑅90/80,𝑠

Where:

𝐸𝐶𝑎𝑛 = Baseline electricity intensity factor (kWh/air conditioner/cooling capacity/year)

𝐸𝐸𝑅90/80,𝑦 = 90th or 80th per centile of EER of baseline air conditioner models sorted from

highest to lowest EER in the reference period

ℎ𝑟𝑠𝑦 = Annual average operating hours or usage (number)

𝛽𝐿 = Load factor (proportion)

90th or 80th percentile of EER of baseline air conditioner models (EER90/80,y);

For 90th or 80th per centile of EER of baseline air conditioner models determination, the source of

data should be followed:

(a) Standard & Labelling database; (b) Commercial marketing data; (c) Manufacturers

(industry) data (d) efficiency labels on the equipment;

(b) Apply stepwise procedures in Appendix 1. Data used shall not be older than three years.

Use the most recent data vintage that is at least one-year long

As per RAC Tool, Air conditioner models have a wide range of sizes and efficiency classes, however

typically a small number of manufacturers (less than 15) account for more than three fourths of the

market share and in many countries one or two manufacturers command a high market share.

Therefore, average EER or SEER from these manufacturers is sufficient as it is representative. Also,

If the efficiency of all main models in a country is available, the actual efficiency distribution of those

models shall be used.

As mentioned above, LGEBR will basically use to determine EER all market models in Brazil from

Brazil`s National Energy Conservation Labelling programme from INMETRO. An air conditioner

market inventory shall comprise the following variables:

(a) P – cooling capacity (kW) of a model;

(b) EER – energy efficiency ratio, cooling capacity/effective power input (W/W);

(c) SEER – seasonal energy efficiency rating (W/W);

(d) COP – coefficient of performance; (optional);

(e) FS/V – fixed-speed, inverter (variable speed drive); (optional);

(f) Split – split system with internal and external unit ducted, Window-type unit (optional).

As per RAC Tool, The measurement procedure is below:

STEP 1 : Sort the air conditioner models in year y from the highest to the lowest EER or SEER.

Where sales data of air conditioner mode is available, air conditioner units sold in the reference

period are sorted from highest to the lowest EER or SEER;

STEP 2 : Identify the 90th and 80th percentile.

Annual average operating hours or usage (hrsy)

7 INMETRO is national institute of metrology, quality and technology(www.inmetro.gov.br)

CDM-PDD-FORM

Version 10.1 Page 18 of 71

Published data (national or regional default), survey or grid load curve analysis can be used. the

source of data should be followed:

Option 1. In a country where operating data is published, these shall be assessed for

representativeness. Whether they account for annual cooling degree day differences shall be

assessed. Published survey results related to census data or from utilities’ household surveys shall

be compared to calculated averages in energy models.

Option 2. The operating hours of the baseline air conditioners shall be determined using surveys by

continuous measurement of usage hours for a minimum of 90 days representative of the year. For

a large population of baseline air conditioners: (a) use a representative sample (sampling determined

by a minimum 90% confidence interval and 10% maximum error margin); (b) ensure that sampling

is statistically robust and relevant.

Option 3. Load analysis by utility companies is used to determine an accurate range of average

operating hours across the year.

Where a survey is applied, sampling should be as per Guidelines for sampling and surveys for CDM

project activities.

Adjustment to the baseline estimation to account for autonomous efficiency improvement

due to regulation and market transformation(BEy,adjusted);

The energy efficiency of the air-conditioners in Brazil`s market will likely increase over time due to

regulatory interventions and market factors. While the regular update of the SB (every 3 years or

earlier as required by the RAC tool) would capture the transformation in efficiency, this project

applying the parameter values in an approved SB needs to undertake additional adjustments to be

conservative. The adjusted baseline emission is required that an annual autonomous energy

efficiency improvement factor is applied as per the equation below:

𝐵𝐸𝑦,𝑎𝑑𝑗𝑢𝑠𝑡𝑒𝑑 = 𝐵𝐸𝑦 × (1 − 𝐴𝐸𝐼)𝑣−𝑥

Where:

𝐵𝐸𝑦,𝑎𝑑𝑗𝑢𝑠𝑡𝑒𝑑 = The adjusted baseline emissions accounting for autonomous improvement in energy

efficiency for air-conditioners

𝐴𝐸𝐼 = Factor to account for annual autonomous efficiency improvement (use a default

value of 0.02 (2 per cent) for air-conditioners; where the SB is updated following the

expiry of 3 years validity, the actual market data used for the update may be used to

determine annual efficiency increase instead of the default values)

𝑣 − 𝑥 = Difference of years since the latest valid SB is approved

𝑣 = Year of the crediting period

𝑥 = Historic year in which the latest valid SB was approved

Baseline calculations for refrigerant emissions in new sales air conditioners(BEREF,y);

As per the “AM0120: Energy-efficient refrigerators and air-conditioners - Version 01.0”, only baseline

refrigerant emissions (physical leaks of refrigerants) from baseline air -conditioners are eligible. Only

avoided emissions of HFCs are eligible under this methodology whereas avoided HCFC emissions

are ineligible. Refrigerant baseline emissions are eligible for inclusion only when the penetration of

air-conditioners which use refrigerants with no ODP and low GWP in the host country is less than

20 per cent i.e. the share of air conditioners using the refrigerant in question is under 20 per cent of

all air conditioners.

CDM-PDD-FORM

Version 10.1 Page 19 of 71

The project refrigerant gas is identified as R32, which is widely known as a substitute refrigerant for

R410a and R22 in existing air-conditioners. The R32 refrigerant gas has much lower GWP(677)

comparing to R410a(1924) and R22(1760). The market share for the project air-conditioners which

are using the refrigerant gas(R32) in Brazil`s air-conditioner market is almost zero as the most of the

existing air-conditioners in Brazil are using R410a and R22 which are no ODP, but higher GWP than

R32. The market share data for all models of air-conditioners in Brazil is referred to Appendix 4 in

PDD.

Calculate the baseline emissions from refrigerants in air conditioners using the following equation.

𝐵𝐸𝑅𝐸𝐹,𝑦 = ∑ 𝑛𝑗,𝑦 × (𝑆𝑅𝐶𝐹 × 𝑃𝑐𝑎𝑝,𝑗)

𝑗

× 𝐿𝑎𝑣𝑟

Where:

𝐵𝐸𝑅𝐸𝐹,𝑦 = Baseline emissions in year y (tCO2e)

𝑆𝑅𝐶𝐹 = Specific refrigerant charge factor as determined using section 4.4 of RAC tool

(tCO2e/kW)

𝑛𝑗,𝑦 = Number or air conditioners model j introduced by the project activity operating in

year y

𝑃𝑐𝑎𝑝,𝑗 = Cooling capacity of the project air conditioners model j (kW)

𝐿𝑎𝑣𝑟 = Average physical leakage rates of refrigerants in project air conditioners in the

year y as determined using TOOL28: Calculation of baseline, project and leakage

emissions from the use of refrigerants.

Average physical leakage rates of refrigerants in project air conditioners(L avr)

As per the refrigerant tool, there are default values in Appendix for average physical leakage rates

of refrigerants in project air conditioners. The project targets only new air-conditioners for residential

and households use. The value of the average physical leakage rates of refrigerants in project air

conditioners will be used at 5%/capacity/yr which is for Operation Emissions of Residential and

Commercial A/C including Heat Pumps.

Table 1. Default parameters for Refrigeration/Air Conditioning Equipment

Type of Equipment

Charge

Capacity j

(kg)

Installation

Emission

Factor k

(% of

capacity)

Operation

Emissions x

(% of

capacity/yr)

Refrigerant

Remaining

at Disposal y

(% of

capacity)

Recovery

Efficiency z

(% of

capacity)

Domestic Refrigeration 0.05 - 0.5 0.2 0.1 80 70

Stand-alone Commercial

Applications 0.2 – 6 0.5 1 80 70

Medium & Large

Commercial Refrigeration 50 – 2,000 0.5 10 100 70

Transport Refrigeration 3 – 8 0.2 15 50 70

Industrial Refrigeration

including Food Processing

and Cold Storage

10 – 10,000 0.5 7 100 90

Chillers 10 – 2,000 0.2 2 100 95

Residential and

Commercial A/C including

Heat Pumps

0.5 – 100 0.2 5 80 80

CDM-PDD-FORM

Version 10.1 Page 20 of 71

Type of Equipment

Charge

Capacity j

(kg)

Installation

Emission

Factor k

(% of

capacity)

Operation

Emissions x

(% of

capacity/yr)

Refrigerant

Remaining

at Disposal y

(% of

capacity)

Recovery

Efficiency z

(% of

capacity)

Mobile Air Conditioning 0.5 – 1.5 0.2 10 50 50

Refrigerant SB(SRCF);

As per the “AM0120: Energy-efficient refrigerators and air-conditioners - Version 01.0”, Only HFC

refrigerants or blends of HFC refrigerants used in the baseline air-conditioners are eligible for

considering in the baseline emissions under the refrigerant SB. Refrigerant SB establishes the share

of HFC refrigerants or blends in the total share of refrigerants used for baseline air-conditioners.

Data on cooling capacity of air-conditioners and respective charge rates of specific refrigerants and

their GWP values are then used to arrive at standardised emission factor in terms of tCO2e/kW.

STEP 1 : Using the (a) Standard & Labelling database; or (b) Commercial marketing data; or (c)

Manufacturers (industry) data, determine the quantity of different type of refrigerants and blends

used in the reference period (e.g. HCFC-22, HFC-134a, R-410A) and the corresponding total cooling

capacity (kW) of the air-conditioners in a market or market segment.

STEP 2 : Calculate the refrigerant charge per kW cooling capacity per air conditioner model i.e.

specific refrigerant charge (kg/kW) for each of the refrigerant used.

STEP 3 : Use the equation below to determine the specific refrigerant charge factor (SRCF) in

tCO2e/kW cooling capacity. It is calculated based on the share of HFC refrigerants or blends and

applying GWP corresponding to each refrigerant type and applying zero as values for refrigerants

other than HCF or blends of HFC refrigerants.

SRCF =∑ 𝑅𝐸𝐹𝑖,𝑗 × 𝑛𝑖,𝑗 × 𝐺𝑊𝑃𝑖,𝐸𝐿

∑ 𝑛𝑗 × 𝑃𝑐𝑎𝑝,𝑗

Where:

𝑆𝑅𝐶𝐹 = Specific refrigerant emission of refrigerant i per unit cooling capacity of air

conditioner model j (tCO2e/kW)

𝑅𝐸𝐹𝑖,𝑗 = The initial charge of refrigerant i in the air conditioner model j (kg)

𝑛𝑖,𝑗 = Number of air conditioner models j using refrigerant i

𝑃𝑐𝑎𝑝,𝑗 = Cooling capacity of the air conditioner j (kW)

𝐺𝑊𝑃𝑖,𝐸𝐿 = Global warming potential of the refrigerant i, eligible refrigerants are HFC and HFC

blends, use 0 for HCFC and other non-HFC refrigerants

𝑗 = All air conditioner models in a market or market segment

2. Project emissions(PEy)

Project emissions consist of electricity used in the project equipment, determined as

follows.

𝑃𝐸𝑦 = 𝐸𝐶𝑃𝐽,𝑦 × 𝐸𝐹𝑔𝑟𝑖𝑑,𝑦 + 𝑃𝐸𝑟𝑒𝑓 ,𝑦

Where:

𝑃𝐸𝑦 = Project emissions in year y (tCO2e)

𝐸𝐶𝑃𝐽,𝑦 = Total electricity consumption of RAC appliance in project activity in year y

CDM-PDD-FORM

Version 10.1 Page 21 of 71

𝑃𝐸𝑟𝑒𝑓,𝑦 = Project emissions from physical leakage of refrigerant from air conditioners in year

y (tCO2e/y) as determined using TOOL28: Calculation of baseline, project and

leakage emissions from the use of refrigerants.

Total electricity consumption of RAC appliance in project activity(EC PJ,y);

For air conditioners, project electricity consumption is determined as follows:

𝐸𝐶𝑃𝐽,𝑦 =∑ 𝑛𝑗,𝑦 × 𝑃𝑐𝑎𝑝,𝑗 × ℎ𝑟𝑠𝑦 × 𝛽𝐿𝑗

(1 − 𝑇𝐷𝑙𝑜𝑠𝑠,𝑦) × 𝐸𝐸𝑅𝑃 ,𝑎𝑣𝑟

Where:

𝑃𝑐𝑎𝑝,𝑗 = Cooling capacity of the project air conditioners j (kW)

ℎ𝑟𝑠𝑦 = Annual average operating hours or usage (number)

𝛽𝐿 = Load factor (proportion)

𝐸𝐸𝑅𝑃,𝑎𝑣𝑟 = Average Energy Efficiency Ratio (W/W) of the project air conditioners

Project emissions from physical leakage of refrigerant from air conditioners(PE ref,y)

Project emissions from physical leakage of refrigerants are calculated as follows:

𝑃𝐸𝑟𝑒𝑓 ,𝑦 = 𝑄𝑟𝑒𝑓,𝑃𝐽,𝑦 × 𝐺𝑊𝑃𝑟𝑒𝑓,𝑃𝐽

Where:

𝑃𝐸𝑟𝑒𝑓,𝑦 = Project emissions from physical leakage of refrigerant from air conditioners in year

y (tCO2e/y)

𝑄𝑟𝑒𝑓,𝑃𝐽,𝑦 = Average annual quantity of refrigerant used in year y to replace refrigerant that has

leaked in the same year (tonnes/year).

𝐺𝑊𝑃𝑟𝑒𝑓,𝑃𝐽 = Global Warming Potential valid for the commitment period of the refrigerant that is

used in the project equipment (t CO2e/t refrigerant)

3. Leakage(LEy)

Leakage associated with the destruction of refrigerants from the displaced air conditioners shall be

determined using TOOL28: Calculation of baseline, project and leakage emissions from the use of

refrigerants.

The leakage emissions from energy used in production of refrigerants are ignored, as they occur

both in the baseline and the project activity and are expected to be of the same order of

magnitude.

In case the displaced refrigerant as defined in Annex A of the Kyoto Protocol or in Article 1,

paragraph 5 of the Convention is destroyed, no leakage emissions are accounted. Any displaced

baseline refrigeration and air conditioning unit containing refrigerants with significant ODP and

GWP shall be scrapped to ensure that it is not sold and reutilized. The destruction of the refrigerant

contained therein should be undertaken in line with the “Code of Good Housekeeping” in the

Handbook for the Montreal Protocol on Substances that Deplete the Ozone Layer - 9th Edition,

UNEP Ozone Secretariat (2012).

In case the displaced refrigerant is a GHG as defined in Annex A of the Kyoto Protocol or in Article

1, paragraph 5 of the Convention and is not destroyed, leakage emission from its storage or usage

in other equipment shall be considered and deducted from the emission reductions. The quantity of

CDM-PDD-FORM

Version 10.1 Page 22 of 71

refrigerant that would leak shall be estimated based on the values specified in the Appendix

(columns j, y and z). It is assumed that all the refrigerant charge in the project ref rigerators is

released to the atmosphere during the crediting period.

4. Emission reductions(ERy)

The emission reduction achieved by the project activity shall be determined as the difference

between the baseline emissions and the project emissions and leakage.

𝐸𝑅𝑦 = (𝐵𝐸𝑦,𝑎𝑑𝑗𝑢𝑠𝑡𝑒𝑑 + 𝐵𝐸𝑅𝐸𝐹,𝑦 − 𝑃𝐸𝑦 ) − 𝐿𝐸𝑦

Where:

𝐸𝑅𝑦 = Emission reductions in year y (tCO2e)

𝐵𝐸𝑦,𝑎𝑑𝑗𝑢𝑠𝑡𝑒𝑑 = The adjusted baseline emissions accounting for autonomous improvement in

energy efficiency for refrigerators/air-conditioners

𝐵𝐸𝑅𝐸𝐹,𝑦 = Baseline emissions due to leakage of refrigerants in year y (tCO2e)

𝑃𝐸𝑦 = Project emissions in year y (tCO2e)

𝐿𝐸𝑦 = Leakage emissions in year y (tCO2e)

B.6.2. Data and parameters fixed ex ante

Data/Parameter TDloss,y

Data unit fraction

Description Transmission and distribution of loss of electricity system supplying to project

activities

Source of data AM0120: Energy-efficient refrigerators and air-conditioners - Version 01.0

Value(s) applied 0.1

Choice of data or

measurement methods

and procedures

A default value of 0.1 is used for average annual technical grid losses, as no

recent data are available or the data cannot be regarded accurate and reliable

Purpose of data Calculation of baseline emissions and project emissions

Additional comment -

Data/Parameter GWPref,BL; GWPref,PJ

Data unit tCO2e/t refrigerant

Description Global Warming Potential, valid for the commitment period, of the refrigerant that

is used in the RAC unit

Source of data IPCC AR5

Value(s) applied

GWPR410a : 1,924

GWPR22 : 1,760

GWPR32 : 677

Choice of data or

measurement methods

and procedures

The GWP data from IPCC`s the latest version is used.

Purpose of data Calculation of baseline emissions and project emissions

Additional comment -

B.6.3. Ex ante calculation of emission reductions

CDM-PDD-FORM

Version 10.1 Page 23 of 71

Ex ante calculation of emission reductions annually in this project is based on LGEBR`s internal

annual plan for the sale of the project air conditioners from 2019 to 2028. LGEBR`s internal annual

plan during the crediting period is referred to Appendix 4 in PDD.

1. Baseline emissions(BEy)

In this project, baseline emissions should be summed BEy,adjusted and BEREF,y, determined as follows.

𝐵𝐸𝑦,𝑠𝑢𝑚 = 𝐵𝐸𝑦,𝑎𝑑𝑗𝑢𝑠𝑡𝑒𝑑 + 𝐵𝐸𝑟𝑒𝑓,𝑦

Where:

𝐵𝐸𝑦,𝑠𝑢𝑚 = Baseline emissions summed in year y (tCO2e)

𝐵𝐸𝑦,𝑎𝑑𝑗𝑢𝑠𝑡𝑒𝑑 = The adjusted baseline emissions accounting for autonomous improvement in

energy efficiency for air-conditioners (tCO2e/y)

𝐵𝐸𝑟𝑒𝑓,𝑦 = Baseline emissions from refrigerant from air conditioners in year y (tCO2e/y)

The results are as follows;

Table 2. Baseline emissions (BEy,adjusted +BEREF,y)

Vintage

year Project year

2020 2021 2022 2023 2024 2025 2026 2027 2028 2029

2019

326

326

326

326

326

326

326

326

326

326

2020

-

323

323

323

323

323

323

323

323

323

2021

-

-

52,109

52,109

52,109

52,109

52,109

52,109

52,109

52,109

2022

-

-

-

51,632

51,632

51,632

51,632

51,632

51,632

51,632

2023

-

-

-

-

51,166

51,166

51,166

51,166

51,166

51,166

2024

-

-

-

-

-

52,109

52,109

52,109

52,109

52,109

2025

-

-

-

-

-

-

51,632

51,632

51,632

51,632

2026

-

-

-

-

-

-

-

51,166

51,166

51,166

2027

-

-

-

-

-

-

-

-

52,109

52,109

2028

51,632

Total

326

649

52,757

104,390

155,556

207,664

259,297

310,462

362,571

414,203

Baseline calculation for new sales air-conditioners;

This baseline accounts for introducing efficient new units (greenfield air-conditioners) and the

equations for calculating baseline energy use and emissions are as follows.

𝐵𝐸𝑦 =∑ 𝐸𝐹𝑔𝑟𝑖𝑑,𝑦 × 𝑛𝑗,𝑦 × 𝐸𝐶𝑎𝑛 × 𝑃𝑐𝑎𝑝,𝑗,𝑦𝑗

(1 − 𝑇𝐷𝑙𝑜𝑠𝑠,𝑦)

Where:

𝐵𝐸𝑦 = Baseline emissions in year y (tCO2e)

CDM-PDD-FORM

Version 10.1 Page 24 of 71

𝐸𝐶𝑎𝑛 = Baseline Electricity intensity factor (kWh/air-conditioner/cooling capacity/year)

𝑃𝑎𝑐𝑝,𝑗,𝑦 = Cooling capacity of the project air conditioners model j (kW)

𝑛𝑗,𝑦 = Number of air-conditioners model j introduced by the project activity

The project air conditioners are all inverter type. No recent data for transmission and distribution of

loss of electricity system supplying to project activity(TD loss,y) are available, a default value(0.1) will

be used during the crediting period.

The baseline emissions ensure that electricity consumption of any air conditioners sold in year y is

only accounted for from the start of the first full year of operation (y+1) onwards. The time lag

between selling by the manufacturer and commissioning of the air conditioners at the household is

accounted for.

The results are as follows;

Table 3. Baseline emissions for energy efficiency

Vintage

Year

Project year

2020 2021 2022 2023 2024 2025 2026 2027 2028 2029

2019

142

142

142

142

142

142

142

142

142

142

2020

-

142

142

142

142

142

142

142

142

142

2021

-

-

24,291

24,291

24,291

24,291

24,291

24,291

24,291

24,291

2022

-

-

-

24,291

24,291

24,291

24,291

24,291

24,291

24,291

2023

-

-

-

-

24,291

24,291

24,291

24,291

24,291

24,291

2024

-

-

-

-

-

24,291

24,291

24,291

24,291

24,291

2025

-

-

-

-

-

-

24,291

24,291

24,291

24,291

2026

-

-

-

-

-

-

-

24,291

24,291

24,291

2027

-

-

-

-

-

-

-

-

24,291

24,291

2028

24,291

Total

142

284

24,574

48,865

73,156

97,447

121,738

146,028

170,319

194,610

Emission factor of a grid determined (EFgrid,y)

For EFgrid,OM-DD,y ex-ante estimation, was calculated the arithmetic average of 12 months operating

margin emission factors, published by the DNA (data available to year 2018) 8.

Table 4. Emission Factor of Operating Margin for year 2018

OPERATION MARGIN

Average Emission Factor (tCO2/MWh)

8 http://www.mctic.gov.br/mctic/opencms/ciencia/SEPED/clima/textogeral/emissao_despacho.html

CDM-PDD-FORM

Version 10.1 Page 25 of 71

OPERATION MARGIN

Year JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC

2018 0.5419 0.5148 0.5867 0.5905 0.6086 0.5846 0.6052 0.6102 0.6060 0.5997 0.6019 0.6078

AVG 0.5582 tCO2/MWh

For the build margin emission factor EFgrid,BM,y also were be adopted the 2017 year values

published by the DNA (ultimate data available)9. LGEBR will use the most recent version of the build

margin data as the Brazilian DNA keeps annually updating its latest version.

Table 5. Latest data from Brazilian DNA to Emission Factor Build Margin (2017)

BUILD MARGIN

Average Emission Factor (tCO2/MWh)

2017 0.0028 tCO2/MWh

For calculation of combined margin emission factor (combination of operation and build margins) a

weighted-average formula is used, considering WOM = 0.50 and WBM = 0.50. As a conservative

approach, below is presented the emission factor calculated using four decimal places, rounded

down. Thus, the result is:

Table 6. Combined margin for baseline (2018)

COMBINED MARGIN

0.05582 X 0.5 + 0.0028 X 0.5 = 0.2954

2018 0.2954 tCO2/MWh

The baseline electricity intensity factor (ECan)

In order to calculate ex ante of emission reductions, approach 1 will be used to calculate the baseline

electricity intensity factor(ECan) considering available data from air-conditioners market in Brazil.

Approach 1 is based on EER of baseline air conditioners in a market or market segment. As the

efficiency data of all market models in Brazil is available, the actual efficiency distribution of those

models will be used. The efficiency data of all market models in Brazil`s National Energy

Conservation Labelling is from INMETRO 10 . All air-conditioner models and efficiency data are

referred to Appendix 4 in PDD.

The market air conditioners information from IMNETRO gives manufacturer, brand, model, cooling

capacity(BTU/hr), energy consumption rate(kWh/month), annual operating hours and EER(W/W) of

all market air conditioner models and classify the type of air conditioners, window and split hi -wall. It

gives total 243 models information for Inverter type of air conditioners and total 812 models

information for fixed speed type of air conditioners. LGEBR will use the latest version of INMETRO

data which is for the type of window noticed on 20 of April, 2017 and for the type of split hi-wall

noticed on 14 of August, 2018. As required by data/parameter 8 in RAC Tool, LGEBR checked that

the data is not older than three years from the project starting date. The number of data is below:

Table 7. The air conditioners for each classification and type

TYPE CLASSIFICATION (BTU/hr)

0~9,000 9,001~14,000 14,001~20,000 20,001~ Total

INVERTER 63 63 50 63 239

9 http://www.mctic.gov.br/mctic/opencms/ciencia/SEPED/clima/textogeral/emissao_despacho.html 10 INMETRO is national institute of metrology, quality and technology(www.inmetro.gov.br)

CDM-PDD-FORM

Version 10.1 Page 26 of 71

TYPE CLASSIFICATION (BTU/hr)

0~9,000 9,001~14,000 14,001~20,000 20,001~ Total

FIXED SPEED 297 206 140 169 812

Total 360 269 190 232 1,051

In order to calculate the baseline electricity intensity factor (ECan), EER and annual operating hours

data from the Brazilian air conditioner market is needed. As per RAC Tool, calculations are below:

𝐸𝐶𝑎𝑛 =ℎ𝑟𝑠𝑦 × 𝛽𝐿

𝐸𝐸𝑅90/80,𝑠

Where:

𝐸𝐶𝑎𝑛 = Baseline electricity intensity factor (kWh/air conditioner/cooling capacity/year)

𝐸𝐸𝑅90/80,𝑦 = 90th or 80th per centile of EER of baseline air conditioner models sorted from

highest to lowest EER in the reference period

ℎ𝑟𝑠𝑦 = Annual average operating hours or usage (number)

𝛽𝐿 = Load factor (proportion)

Table 8. The baseline electricity intensity factor

TYPE CLASSIFICATION (BTU/hr)

0~9,000 9,001~14,000 14,001~20,000 20,001~ UNIT

INVERTER 62.27 62.48 63.92 65.05 kWh/n/kW/yr

FIXED SPEED 57.63 57.28 58.15 58.28 kWh/n/kW/yr

90th or 80th percentile of EER of baseline air conditioner models (EER 90/80,y)

For 90th or 80th percentile of EER of baseline air conditioner models determination, the source of

data should be followed:

(a) Standard & Labelling database; (b) Commercial marketing data; (c) Manufacturers

(industry) data (d) efficiency labels on the equipment;

(b) Apply stepwise procedures in Appendix 1 in RAC Tool. Data used shall not be older than

three years. Use the most recent data vintage that is at least one-year long

As per RAC Tool, Air conditioner models have a wide range of sizes and efficiency classes, however

typically a small number of manufacturers (less than 15) account for more than three fourths of the

market share and in many countries one or two manufacturers command a high market share.

Therefore, average EER or SEER from these manufacturers is sufficient as it is representative. Also,

If the efficiency of all main models in a country is available, the actual efficiency distribution of those

models shall be used.

As mentioned above, LGEBR will basically use to determine EER of all market models in Brazil from

Brazil`s National Energy Conservation Labelling programme from INMETRO. LGEBR will use the

actual efficiency distribution of those models as it is deemed to use the efficiency of all main models

in Brazil. An air conditioner market inventory shall comprise the following variables and it is referred

to Appendix 4 in PDD:

(a) P – cooling capacity (kW) of a model;

(b) EER – energy efficiency ratio, cooling capacity/effective power input (W/W);

(c) FS/V – fixed-speed, inverter (variable speed drive); (optional);

(d) Refrigeration capacity of air conditioners

CDM-PDD-FORM

Version 10.1 Page 27 of 71

(e) Energy consumption per year of air conditioners

As per RAC Tool, The measurement procedure is below:

STEP 1 : Sort the air conditioner models in year y from the highest to the lowest EER or SEER.

Where sales data of air conditioner mode is available, air conditioner units sold in the reference

period are sorted from highest to the lowest EER or SEER;

LGEBR will use EER data as Brazil`s National Energy Conservation Labelling programme shows

only EER. Also, LGEBR will identify from the model of the highest EER to the model of the lowest

EER.

STEP 2 : Identify the 90th and 80th percentile;

LGEBR will identify the 90th percentile among all of the EER. Due to this, emission reductions will be

conservative. The EER90th data will use no longer three years and continuously be updated.

Accounting for the classification, 90 th per centile of EER of baseline air conditioner models is below:

Table 9. 90th per centile of EER of baseline air conditioner

TYPE CLASSIFICATION (BTU/hr)

0~9,000 9,001~14,000 14,001~20,000 20,001~ UNIT

INVERTER 3.56 3.55 3.47 3.41 W th/Welec

FIXED SPEED 3.28 3.30 3.25 3.24 W th/Welec

Annual average operating hours or usage (hrsy)

LGEBR will use published data by Brazil`s National Energy Conservation Labelling programme and

it would be option 1. As annual average operating hours data is from all of the market models, it is

deemed for the average value per each classification to represent all the models within the same

classification.

Accounting for the classification, annual average operating hours data of baseline air conditioner

models is below:

Table 10. Annual average operating hours

TYPE CLASSIFICATION (BTU/hr)

0~9,000 9,001~14,000 14,001~20,000 20,001~ UNIT

INVERTER 251.93 252.05 252.05 252.05 Hours/year

FIXED SPEED 252.04 252.02 251.98 251.77 Hours/year

Adjustment to the baseline estimation to account for autonomous efficiency improvement

due to regulation and market transformation(BEy,adjusted);

The energy efficiency of the air-conditioners in Brazil`s market will likely increase over time due to

regulatory interventions and market factors. While the regular update of the SB (every 3 years or

earlier as required by the RAC tool) would capture the transformation in efficiency, this project

applying the parameter values in an approved SB needs to undertake additional adjustments to be

conservative. The adjusted baseline emission is required that an annual autonomous energy

efficiency improvement factor is applied as per the equation below:

𝐵𝐸𝑦,𝑎𝑑𝑗𝑢𝑠𝑡𝑒𝑑 = 𝐵𝐸𝑦 × (1 − 𝐴𝐸𝐼)𝑣−𝑥

CDM-PDD-FORM

Version 10.1 Page 28 of 71

Where:

𝐵𝐸𝑦,𝑎𝑑𝑗𝑢𝑠𝑡𝑒𝑑 = The adjusted baseline emissions accounting for autonomous improvement in energy

efficiency for air-conditioners

𝐴𝐸𝐼 = Factor to account for annual autonomous efficiency improvement (use a default

value of 0.02 (2 per cent) for air-conditioners; where the SB is updated following the

expiry of 3 years validity, the actual market data used for the update may be used to

determine annual efficiency increase instead of the default values)

𝑣 − 𝑥 = Difference of years since the latest valid SB is approved

𝑣 = Year of the crediting period

𝑥 = Historic year in which the latest valid SB was approved

The results are as follows;

Table 11. Adjusted baseline emissions for energy efficiency(tCO2e)

Vintage

Year

Project year

2020 2021 2022 2023 2024 2025 2026 2027 2028 2029

2019

136

136

136

136

136

136

136

136

136

136

2020

-

134

134

134

134

134

134

134

134

134

2021

-

-

23,805

23,805

23,805

23,805

23,805

23,805

23,805

23,805

2022

-

-

-

23,329

23,329

23,329

23,329

23,329

23,329

23,329

2023

-

-

-

-

22,862

22,862

22,862

22,862

22,862

22,862

2024

-

-

-

-

-

23,805

23,805

23,805

23,805

23,805

2025

-

-

-

-

-

-

23,329

23,329

23,329

23,329

2026

-

-

-

-

-

-

-

22,862

22,862

22,862

2027

-

-

-

-

-

-

-

-

23,805

23,805

2028

23,329

Total

136

270

24,075

47,404

70,266

94,071

117,400

140,262

164,067

187,396

Baseline calculations for refrigerant emissions in new sales air conditioners(BE REF,y);

As per the “AM0120: Energy-efficient refrigerators and air-conditioners - Version 01.0”, only baseline

refrigerant emissions (physical leaks of refrigerants) from baseline air -conditioners are eligible. Only

avoided emissions of HFCs are eligible under this methodology whereas avoided HCFC emissions

are ineligible. Refrigerant baseline emissions are eligible for inclusion only when the penetration of

air-conditioners which use refrigerants with no ODP and low GWP in the host country is less than

20 per cent i.e. the share of air conditioners using the refrigerant in question is under 20 per cent of

all air conditioners.

CDM-PDD-FORM

Version 10.1 Page 29 of 71

The project refrigerant gas is identified as R32, which is widely known as a substitute refrigerant for

R410a and R22 in existing air-conditioners. The R32 refrigerant gas has much lower GWP(677)

comparing to R410a(1924) and R22(1760). The market share for the project air-conditioners which

are using the refrigerant gas(R32) in Brazil`s air-conditioner market is almost zero as the most of the

existing air-conditioners in Brazil are using R410a and R22 which are no ODP, but higher GWP than

R32. The market share data for all models of air-conditioners in Brazil is referred to Appendix 4 in

PDD.

Calculate the baseline emissions from refrigerants in air conditioners using the following equation.

𝐵𝐸𝑅𝐸𝐹,𝑦 = ∑ 𝑛𝑗,𝑦 × (𝑆𝑅𝐶𝐹 × 𝑃𝑐𝑎𝑝,𝑗)

𝑗

× 𝐿𝑎𝑣𝑟

Where:

𝐵𝐸𝑅𝐸𝐹,𝑦 = Baseline emissions in year y (tCO2e)

𝑆𝑅𝐶𝐹 = Specific refrigerant charge factor as determined using section 4.4 of RAC tool

(tCO2e/kW)

𝑛𝑗,𝑦 = Number or air conditioners model j introduced by the project activity operating in

year y

𝑃𝑐𝑎𝑝,𝑗 = Cooling capacity of the project air conditioners model j (kW)

𝐿𝑎𝑣𝑟 = Average physical leakage rates of refrigerants in project air conditioners in the

year y as determined using TOOL28: Calculation of baseline, project and leakage

emissions from the use of refrigerants.

The results are as follows;

Table 12. Baseline emissions for refrigerants(tCO2e)

Vintage

Year

Project year

2020 2021 2022 2023 2024 2025 2026 2027 2028 2029

2019

189

189

189

189

189

189

189

189

189

189

2020

-

189

189

189

189

189

189

189

189

189

2021

-

-

28,304

28,304

28,304

28,304

28,304

28,304

28,304

28,304

2022

-

-

-

28,304

28,304

28,304

28,304

28,304

28,304

28,304

2023

-

-

-

-

28,304

28,304

28,304

28,304

28,304

28,304

2024

-

-

-

-

-

28,304

28,304

28,304

28,304

28,304

2025

-

-

-

-

-

-

28,304

28,304

28,304

28,304

2026

-

-

-

-

-

-

-

28,304

28,304

28,304

2027

-

-

-

-

-

-

-

-

28,304

28,304

2028

28,304

Total

189

379

28,683

56,986

85,290

113,593

141,897

170,201

198,504

226,808

CDM-PDD-FORM

Version 10.1 Page 30 of 71

Average physical leakage rates of refrigerants in project air conditioners(L avr)

As per the refrigerant tool, there are default values in Appendix for average physical leakage rates

of refrigerants in project air conditioners. The project targets only new air-conditioners for residential

and households use. The value of the average physical leakage rates of refrigerants in project air

conditioners will be used at 5%/capacity/yr which is for Operation Emissions of Residential and

Commercial A/C including Heat Pumps.

Refrigerant SB(SRCF);

To determine refrigerant SB(SRCF), stepwise procedure is as follow:

Step 1: Using the (a) Standard & Labelling database; or (b) Commercial marketing data; or (c)

Manufacturers (industry) data, determine the quantity of different type of refrigerants and blends

used in the reference period (e.g. HCFC-22, HFC-134a, R-410A) and the corresponding total cooling

capacity (kW) of the air-conditioners in a market or market segment.

The data of all market models in Brazil`s National Energy Conservation Labelling is from INMETRO.

All air-conditioner models and data are referred to Appendix 4 in PDD. The market air conditioners

information from IMNETRO gives manufacturer, brand, model, cooling capacity(BTU/hr) of all market

air conditioner models and classify the type of air conditioners, window and split hi -wall.

However, The market air conditioners information from IMNETRO does not give type of the

refrigerant and initial refrigerant charge that each model uses. Therefore, commercial marketing data

or manufacturers(industry) data will be used to determine the type of the refrigerant and the initial

refrigerant charge that each model uses.

Step 2: Calculate the refrigerant charge per kW cooling capacity per air conditioner model i.e.

specific refrigerant charge (kg/kW) for each of the refrigerant used.

LGEBR will calculate the refrigerant charge per kW cooling capacity per air conditioner model(kg/kW)

by using cooling capacity and initial refrigerant charge about each model.

Step 3: Use the equation below to determine the specific refrigerant charge factor (SRCF) in

tCO2e/kW cooling capacity. It is calculated based on the share of HFC refrigerants or blends and

applying GWP corresponding to each refrigerant type and applying zero as values for refrigerants

other than HCF or blends of HFC refrigerants.

SRCF =∑ 𝑅𝐸𝐹𝑖,𝑗 × 𝑛𝑖,𝑗 × 𝐺𝑊𝑃𝑖,𝐸𝐿

∑ 𝑛𝑗 × 𝑃𝑐𝑎𝑝,𝑗

Where:

𝑆𝑅𝐶𝐹 = Specific refrigerant emission of refrigerant i per unit cooling capacity of air

conditioner model j (tCO2e/kW)

𝑅𝐸𝐹𝑖,𝑗 = The initial charge of refrigerant i in the air conditioner model j (kg)

𝑛𝑖,𝑗 = Number of air conditioner models j using refrigerant i

𝑃𝑐𝑎𝑝,𝑗 = Cooling capacity of the air conditioner j (kW)

𝐺𝑊𝑃𝑖,𝐸𝐿 = Global warming potential of the refrigerant i, eligible refrigerants are HFC and HFC

blends, use 0 for HCFC and other non-HFC refrigerants

𝑗 = All air conditioner models in a market or market segment

The results are as follows;

CDM-PDD-FORM

Version 10.1 Page 31 of 71

Table 13. Specific refrigerant charge factor(SRCF)

TYPE CLASSIFICATION (BTU/hr)

0~9,000 9,001~14,000 14,001~20,000 20,001~ UNIT

INVERTER 0.505 0.548 0.429 0.476 tCO2/kW

There is no fixed speed type of the project air conditioners from LGEBR. Therefore, market research

for SRCF of fixed speed type is unnecessary. Although LGEBR has taken the market research for

energy efficiency with 239 air conditioner models, the data for SRCF such as refrigerant name and

initial charge capacity is limited. Thus, 8 air conditioner models are used to calculated the SRCF. As

all the refrigerant in Brazilian air conditioner market surveyed is R410a and its initial charge capacity

is approximately 1 kg and not variable, it is able to use calculating ex ante emission reductions.

2. Project emissions(PEy)

Project emissions consist of electricity used in the project equipment, determined as follows.

𝑃𝐸𝑦 = 𝐸𝐶𝑃𝐽,𝑦 × 𝐸𝐹𝑔𝑟𝑖𝑑,𝑦 + 𝑃𝐸𝑟𝑒𝑓 ,𝑦

Where:

𝑃𝐸𝑦 = Project emissions in year y (tCO2e)

𝐸𝐶𝑃𝐽,𝑦 = Total electricity consumption of RAC appliance in project activity in year y

𝑃𝐸𝑟𝑒𝑓,𝑦 = Project emissions from physical leakage of refrigerant from air conditioners in year

y (tCO2e/y) as determined using TOOL28: Calculation of baseline, project and

leakage emissions from the use of refrigerants.

The results are as follows;

Table 14. Project emissions(tCO2e)

Vintage

Year

Project year

2020 2021 2022 2023 2024 2025 2026 2027 2028 2029

2019

182

182

182

182

182

182

182

182

182

182

2020

-

182

182

182

182

182

182

182

182

182

2021

-

-

33,455

33,455

33,455

33,455

33,455

33,455

33,455

33,455

2022

-

-

-

32,254

32,254

32,254

32,254

32,254

32,254

32,254

2023

-

-

-

-

31,555

31,555

31,555

31,555

31,555

31,555

2024

-

-

-

-

-

30,875

30,875

30,875

30,875

30,875

2025

-

-

-

-

-

-

30,216

30,216

30,216

30,216

2026

-

-

-

-

-

-

-

29,576

29,576

29,576

2027

-

-

-

-

-

-

-

-

28,954

28,954

2028

28,351

CDM-PDD-FORM

Version 10.1 Page 32 of 71

Vintage

Year

Project year

2020 2021 2022 2023 2024 2025 2026 2027 2028 2029

Total

182

365

33,820

66,074

97,629

128,505

158,721

188,296

217,250

245,601

Total electricity consumption of RAC appliance in project activity(EC PJ,y);

For air conditioners, project electricity consumption is determined as follows:

𝐸𝐶𝑃𝐽,𝑦 =∑ 𝑛𝑗,𝑦 × 𝑃𝑐𝑎𝑝,𝑗 × ℎ𝑟𝑠𝑦 × 𝛽𝐿𝑗

(1 − 𝑇𝐷𝑙𝑜𝑠𝑠,𝑦) × 𝐸𝐸𝑅𝑃 ,𝑎𝑣𝑟

Where:

𝑃𝑐𝑎𝑝,𝑗 = Cooling capacity of the project air conditioners j (kW)

ℎ𝑟𝑠𝑦 = Annual average operating hours or usage (number)

𝛽𝐿 = Load factor (proportion)

𝐸𝐸𝑅𝑃,𝑎𝑣𝑟 = Average Energy Efficiency Ratio (W/W) of the project air conditioners

The results are as follows;

Table 15. Total electricity consumption in project activity(MWh)

Vintage

Year

Project year

2020 2021 2022 2023 2024 2025 2026 2027 2028 2028

2019

157

157

157

157

157

157

157

157

157

157

2020

-

157

157

157

157

157

157

157

157

157

2021

-

-

25,222

25,222

25,222

25,222

25,222

25,222

25,222

25,222

2022

-

-

-

24,021

24,021

24,021

24,021

24,021

24,021

24,021

2023

-

-

-

-

23,321

23,321

23,321

23,321

23,321

23,321

2024

-

-

-

-

-

22,642

22,642

22,642

22,642

22,642

2025

-

-

-

-

-

-

21,983

21,983

21,983

21,983

2026

-

-

-

-

-

-

-

21,342

21,342

21,342

2027

-

-

-

-

-

-

-

-

20,721

20,721

2028

20,117

Total

157

314

25,536

49,557

72,878

95,520

117,503

138,845

159,566

179,683

Project emissions from physical leakage of refrigerant from air conditioners(PEref,y)

Project emissions from physical leakage of refrigerants are calculated as follows:

CDM-PDD-FORM

Version 10.1 Page 33 of 71

𝑃𝐸𝑟𝑒𝑓 ,𝑦 = 𝑄𝑟𝑒𝑓,𝑃𝐽,𝑦 × 𝐺𝑊𝑃𝑟𝑒𝑓,𝑃𝐽

Where:

𝑃𝐸𝑟𝑒𝑓,𝑦 = Project emissions from physical leakage of refrigerant from air conditioners in year

y (tCO2e/y)

𝑄𝑟𝑒𝑓,𝑃𝐽,𝑦 = Average annual quantity of refrigerant used in year y to replace refrigerant that has

leaked in the same year (tonnes/year).

𝐺𝑊𝑃𝑟𝑒𝑓,𝑃𝐽 = Global Warming Potential valid for the commitment period of the refrigerant that is

used in the project equipment (t CO2e/t refrigerant)

The results are as follows;

Table 16. Project emissions from physical leakage of refrigerants(tCO2e)

Vintage

Year

Project year

2020 2021 2022 2023 2024 2025 2026 2027 2028 2029

2019

25

25

25

25

25

25

25

25

25

25

2020

-

25

25

25

25

25

25

25

25

25

2021

-

-

8,233

8,233

8,233

8,233

8,233

8,233

8,233

8,233

2022

-

-

-

8,233

8,233

8,233

8,233

8,233

8,233

8,233

2023

-

-

-

-

8,233

8,233

8,233

8,233

8,233

8,233

2024

-

-

-

-

-

8,233

8,233

8,233

8,233

8,233

2025

-

-

-

-

-

-

8,233

8,233

8,233

8,233

2026

-

-

-

-

-

-

-

8,233

8,233

8,233

2027

-

-

-

-

-

-

-

-

8,233

8,233

2028

8,233

Total

25

51

8,284

16,518

24,751

32,984

41,218

49,451

57,685

65,918

3. Leakage(LEy)

As per “TOOL28: Calculation of baseline, project and leakage emissions from the use of

refrigerants”, the leakage emissions from energy used in production of refrigerants are ignored, as

they occur both in the baseline and the project activity and are expected to be of the same order of

magnitude.

This project is for selling and disseminating new air conditioners, not for displacing existing air

conditioners in Brazil. Therefore, Leakage emission from the use of refrigerants is not applicable.

4. Emission reductions(ERy)

The emission reduction achieved by the project activity shall be determined as the difference

between the baseline emissions and the project emissions and leakage.

CDM-PDD-FORM

Version 10.1 Page 34 of 71

𝐸𝑅𝑦 = (𝐵𝐸𝑦,𝑎𝑑𝑗𝑢𝑠𝑡𝑒𝑑 + 𝐵𝐸𝑅𝐸𝐹,𝑦 − 𝑃𝐸𝑦 ) − 𝐿𝐸𝑦

Where:

𝐸𝑅𝑦 = Emission reductions in year y (tCO2e)

𝐵𝐸𝑦,𝑎𝑑𝑗𝑢𝑠𝑡𝑒𝑑 = The adjusted baseline emissions accounting for autonomous improvement in

energy efficiency for refrigerators/air-conditioners

𝐵𝐸𝑅𝐸𝐹,𝑦 = Baseline emissions due to leakage of refrigerants in year y (tCO2e)

𝑃𝐸𝑦 = Project emissions in year y (tCO2e)

𝐿𝐸𝑦 = Leakage emissions in year y (tCO2e)

The results are as follows;

Table 17. Emission reductions(tCO2e)

Vintage

Year

Project year

2020 2021 2022 2023 2024 2025 2026 2027 2028 2029

2019

164

164

164

164

164

164

164

164

164

164

2020

-

164

164

164

164

164

164

164

164

164

2021

-

-

20,070

20,070

20,070

20,070

20,070

20,070

20,070

20,070

2022

-

-

-

20,085

20,085

20,085

20,085

20,085

20,085

20,085

2023

-

-

-

-

20,156

20,156

20,156

20,156

20,156

20,156

2024

-

-

-

-

-

21,233

21,233

21,233

21,233

21,233

2025

-

-

-

-

-

-

21,416

21,416

21,416

21,416

2026

-

-

-

-

-

-

-

21,590

21,590

21,590

2027

-

-

-

-

-

-

-

-

23,154

23,154

2028

23,282

Total

164

328

20,398

40,483

60,639

81,872

103,289

124,879

148,033

171,315

Average

16

33

2,040

4,048

6,064

8,187

10,329

12,488

14,803

17,132

B.6.4. Summary of ex ante estimates of emission reductions

Year

Baseline

emissions

(t CO2e)

Project emissions

(t CO2e)

Leakage

(t CO2e)

Emission

reductions

(t CO2e)

Year 1 (2020) 326 182 164

Year 2 (2021) 649 365 328

Year 3 (2022) 52,757 33,820 20,398

Year 4 (2023) 104,390 66,074 40,483

CDM-PDD-FORM

Version 10.1 Page 35 of 71

Year

Baseline

emissions

(t CO2e)

Project emissions

(t CO2e)

Leakage

(t CO2e)

Emission

reductions

(t CO2e)

Year 5 (2024) 155,556 97,629 60,639

Year 6 (2025) 207,664 128,505 81,872

Year 7 (2026) 259,297 158,721 103,289

Year 8 (2027) 310,462 188,296 124,879

Year 9 (2028) 362,571 217,250 148,033

Year 10 (2029) 414,203 245,601 171,315

Total 1,867,874 1,136,443 751,401

Total number of

crediting years 10 years

Annual average

over the crediting

period

186,787.41 113,644.26 75,140.10

B.7. Monitoring plan

B.7.1. Data and parameters to be monitored

Data/Parameter EFgrid,y

Data unit tCO2/kWh

Description CO2 emission factor of the grid electricity in year y

Source of data Ministry of Science, Technology, Innovation and Communications

Value(s) applied 0.0002955

Measurement methods

and procedures

The Combined Margin is calculated through a weighted-average formula,

considering the EFgrid,OM-DD,y and the EFgrid,BM,y and the default weights are W OM =

0.50 and WBM = 0.50. As per the "Tool to calculate the emission factor for an

electricity system".

Monitoring frequency Annually

QA/QC procedures As per the "Tool to calculate the emission factor for an electricity system"

Purpose of data Calculation of baseline emissions

Additional comment To the ex-ante emission reductions estimation, data related to the year 2018 was

used (ultimate available data).

Source:http://www.mctic.gov.br/mctic/opencms/ciencia/SEPED/clima/textogeral/

emissao-despacho.html

Data/Parameter Pcap,j,y

Data unit kW

Description Average cooling capacity of the air conditioners of model j

Source of data LGEBR`s measurement information

CDM-PDD-FORM

Version 10.1 Page 36 of 71

Value(s) applied To calculate ex-ante, LGEBR`s selling plan during the crediting period is used.

The same cooling capacity values of model j based on average of 2019 project

models has been applied throughout the project period for the calculation of

emission reductions as a conservative approach.

Models Cooling capacity

BTU/hr kW/hr

TBD(Class A-1) 8,500 2.501

TBD(Class A-2) 9,000 2.648

TBD(Class A-3) 9,000 2.648

W3NQ10UNNP0 9,500 2.796

TBD 11,000 3.237

S4-W12JARPA 12,000 3.531

S4-Q12JA3WC 12,000 3.531

S4-W12JA3WA 12,000 3.531

S4-Q12JA3WF 12,000 3.531

W3NQ15LNNP0 14,000 4.120

TBD 16,500 4.855

S4-W18KLRPA 18,000 5.297

S4-Q18KL3WB 18,000 5.297

S4-W18KL3WA 18,000 5.297

S4-W24KERP1 22,000 6.474

S4-Q24K23WD 22,000 6.474

S4-W24KE3W1 22,000 6.474

S4-W31V43B1 31,000 9.122

S4-W36R43FA 32,000 9.417

Measurement methods

and procedures

Measurement as per the standard tests prescribed by the authorized agency in

the Host country. The value of kW/hr is calculated to multiply BTU/hr by

0.00029427 kW/BTU.

Monitoring frequency Initially at the entry to the market and also as and when the project air conditioners

undergo changes in its cooling capacity or design

QA/QC procedures The test shall only be conducted at authorized test labs only. The cooling capacity

of all project models is tested under certified labs in LGEBR. LGEBR has strict

standardized test procedures and the tests are performed regularly. Every test

results are stored in the internal database.

Purpose of data Calculation of baseline emissions

Additional comment -

Data/Parameter nj,y

Data unit Number

Description Number of air-conditioners of model j that are operating in year y

Source of data The source for the sales data is LGEBR data certified by financial auditors or

audited ISO 9001 records of the project

Value(s) applied Based on LGEBR`s manufacturing and selling plan, LGEBR applied constant

market sales growth of the project air conditioners per annum throughout the

project period. The estimated sales based on this assumption is as follows;

Year Total

2020 2,000

2021 2,000

2022 2,000

2023 250,000

2024 250,000

2025 250,000

2026 250,000

2027 250,000

2028 250,000

2029 250,000

CDM-PDD-FORM

Version 10.1 Page 37 of 71

Measurement methods

and procedures

LGEBR will annually check that the project air-conditioners are still working, have

done with a statistically significant sample of end-users. LGEBR will use 90/10

confidence/precision for annual checks and use simple random sampling method

for registered users on LGEBR`s website.

The information registered on LGEBR`s website will be managed and listed to

carry out the sampling survey. One of the method such as telephone interview,

email, web-based platform or SMS will be used to check that project air-

conditioners are still working.

The sample size will be estimated following the requirements under “Standard on

sampling and surveys for CDM project activities and PoAs” and be referred to

B.7.2.

Monitoring frequency Annually

QA/QC procedures LGEBR will manage and list up the results of the sampling survey in the internal

database so that it makes unchangeable.

Purpose of data To calculation of baseline emission and project emission

Additional comment Double counting will not be happening during the project periods as this project

boundary is only for the air conditioners which are manufactured by LGEBR and

this project is primarily conducted for CDM project or any other schemes.

Data/Parameter hrsy

Data unit Hours

Description Annual average operating hours or usage (in a country or a climatic zone)

Source of data To calculate ex-ante emission reductions, LGEBR will use published data by

Brazil`s National Energy Conservation Labelling programme and it would be

option 1. As annual average operating hours data is from all of the market models,

it is deemed for the average value per each classification to represent all the

models within the same classification.

Value(s) applied Annual average operating hours data for each classification is as below:

TYPE 0~9,000 9,001~14,000 14,001~20,000 20,001~ Unit

Inverter 251.93 252.05 252.05 252.05 hr/yr

Fixed speed 252.04 252.02 251.98 251.77 hr/yr

Measurement methods

and procedures

LGEBR will basically use to determine operating hours of all market models in

Brazil from Brazil`s National Energy Conservation Labelling programme from

INMETRO. An air conditioner market inventory is including annual operating

hours of all market models. LGEBR will average the operating hours for each

models as classification.

Monitoring frequency Annually

QA/QC procedures Where the data is from is INMETRO that is a national institute of methodology,

quality and technology. The data will be managed by the reliable third party.

Purpose of data To calculation of baseline emission and project emission

Additional comment -

Data/Parameter 𝛽𝐿

Data unit Load factor

Description Proportion of hours per year during the cooling periods of the year when air

conditioners operate at full capacity.

Source of data RAC Tool

Value(s) applied Fixed speed air conditioner with EER data 𝛽𝐿= 0.75

Fixed speed air conditioner with SEER data 𝛽𝐿= 0.85

Inverter air conditioner with EER data 𝛽𝐿= 0.88

Inverter air conditioner with SEER data 𝛽𝐿= 1.00

Measurement methods

and procedures

Default value

CDM-PDD-FORM

Version 10.1 Page 38 of 71

Monitoring frequency Not required

QA/QC procedures Not required

Purpose of data To calculation of baseline emission and project emission

Additional comment -

Data/Parameter Qref,PJ,y

Data unit Tonne/year

Description Average annual quantity of refrigerant used in year y to replace refrigerant that

has leaked during the year

Source of data The initial charge capacity and annual leakage rate will be applied. The initial

charge capacity of the project air conditioners will be managed by LGEBR.

The leaked value specified in the Appendix in Refrigerant Tool during the crediting

period. LGEBR will account for only operating emissions which is 5% as this

project is not about displacement of existing air conditioners.

Value(s) applied Leakage rate : 5%(Operating emissions)

Initial charge capacity of refrigerant for each model is as below:

Models Capacity(kg) Models Capacity(kg)

TBD 0.52 TBD 1.00

S4-Q09WA5WB 0.69 S4-W18KLRPA 1.23

S4-W09WA5WA 0.69 S4-Q18KL3WB 1.20

W3NQ10UNNP0 0.31 S4-W18KL3WA 1.23

TBD 0.60 S4-W24KERP1 1.45

S4-W12JARPA 0.85 S4-Q24K23WD 1.40

S4-Q12JA3WC 0.85 S4-W24KE3W1 1.45

S4-W12JA3WA 0.85 S4-W31V43B1 2.08

S4-Q12JA3WF 0.85 S4-W36R43FA 2.40

W3NQ15LNNP0 0.44

Measurement methods

and procedures

The initial charge capacity of air conditioners stands for the maximum capacity of

refrigerant tank that refrigerant can be stored. It will make emission reductions

are calculated as conservative.

Monitoring frequency Once when installation

QA/QC procedures LGEBR will cross-check the quantities of refrigerants consumed with typical

leakage rates of the RAC unit

Purpose of data To calculation of project emission

Additional comment -

Data/Parameter EER90,s

Data unit decimal (W th/Welec)

Description 90th per centile of EER of baseline air conditioner models sorted from highest to

lowest EER in the reference period

Source of data To calculate ex-ante emission reductions and update in every three

years, LGEBR will use published data by Brazil`s National Energy Conservation

Labelling programme.

Value(s) applied 90th per centile of EER of baseline air conditioner models for each classification

is as below:

TYPE 0~9,000 9,001~14,000 14,001~20,000 20,001~ Unit

Inverter 3.56 3.55 3.47 3.41 W/W

Fixed speed 3.28 3.30 3.25 3.24 W/W

CDM-PDD-FORM

Version 10.1 Page 39 of 71

Measurement methods

and procedures

LGEBR will use EER data as Brazil`s National Energy Conservation Labelling

programme shows only EER. Also, LGEBR will identify from the model of the

highest EER to the model of the lowest EER.

LGEBR will identify the 90th percentile among all of the EER. Due to this,

emission reductions will be conservative. The EER90th data will use no longer

three years and continuously be updated.

Monitoring frequency No longer three years

QA/QC procedures Where the data is from is INMETRO that is a national institute of methodology,

quality and technology. The data will be managed by the reliable third party.

Purpose of data To calculation of baseline emission

Additional comment -

B.7.2. Sampling plan

End users could upload the information about the air-conditioners such as location, model, user,

etc on LGEBR`s website for its warranty. As a result of the registration, it does not aim at all the

air-conditioners sold but aims at those for only residential and households use. LGEBR suggest

that consumer register the air-conditioners on the LGEBR`s website for its warranty when it is sold.

LGEBR will periodically carry out a survey for its monitoring for all the consumers who are

registered on the LGEBR`s website as per “Guidelines for sampling and surveys for CDM project

activities and programme of activities - Version 04.0” and “Standard for sampling and surveys for

CDM project activities and programme of activities - Version 07.0”. Also, the sampling size

calculator from UNFCCC used to estimate an appropriate sampling size.

Sampling Design

Objectives and Reliability Requirements

The objective of this sampling plan is to determine an estimate of nj,y, the number of air

conditioners model j introduced by the project activity in period y. n j,y will be determined with a 90%

confidence interval and a 10% margin of error.

Target population

Target population includes all households purchasing project air conditioners as described in

section A.3. The households who are purchasing project air conditioners but not registering the

products on LGEBR website will not be accounted for the target population. Total target population

will be estimated at approximately 1,406,000 from 2020 to 2029. All the target population will be

consumers purchasing the project air conditioners, thus it has homogeneity.

Sampling method

The sampling method to be used is simple random sampling using a remote survey as per

Guidelines for Sampling and Surveys for CDM Project Activities and Programme of Activities

version 04.0. The simple random sampling method is an appropriate method that is taking a

random sampling from the whole population. It requires knowledge of entire population before a

sample can be selected. As mentioned above, target population will be consumers registering on

LGEBR`s website, LGEBR has knowledge of entire population. Moreover, if the population covers

a large geographical area, then it can often lead to sampling units that are spread out over the

area. Therefore, sampling plan in this project will account for geographical classification. The

spread of population in each state in Brazil is below11.

11 Reference to

CDM-PDD-FORM

Version 10.1 Page 40 of 71

Table 18. Brazil population share

State Full name Population Area(km2) Share(%)

State Accumulation

SP São Paulo 40,442,795 248,209 21.3% 21.3%

MG Minas Gerais 19,237,450 586,528 10.1% 31.4%

RJ Rio de Janeiro 15,383,407 43,696 8.1% 39.5%

BA Bahia 13,815,334 564,692 7.3% 46.8%

RS Rio Grande do Sul 10,845,087 281,748 5.7% 52.5%

PR Paraná 10,261,856 199,314 5.4% 57.9%

PE Pernambuco 8,413,593 98,311 4.4% 62.3%

CE Ceará 8,097,276 148,825 4.3% 66.6%

PA Pará 6,970,586 1,247,689 3.7% 70.3%

MA Maranhão 6,103,327 331,983 3.2% 73.5%

SC Santa Catarina 5,866,568 95,346 3.1% 76.6%

GO Goiás 5,619,917 340,086 3.0% 79.5%

PB Paraíba 3,595,886 56,439 1.9% 81.4%

ES Espírito Santo 3,408,365 46,077 1.8% 83.2%

AM Amazonas 3,232,330 1,570,745 1.7% 84.9%

AL Alagoas 3,015,912 27,767 1.6% 86.5%

PI Piauí 3,006,885 251,529 1.6% 88.1%

RN Rio Grande do Norte 3,003,087 52,796 1.6% 89.6%

MT Mato Grosso 2,803,274 903,357 1.5% 91.1%

DF Distrito Federal 2,333,108 5,822 1.2% 92.4%

MS Mato Grosso do Sul 2,264,468 357,125 1.2% 93.5%

SE Sergipe 1,967,761 21,910 1.0% 94.6%

RO Rondônia 1,534,594 237,576 0.8% 95.4%

TO Tocantins 1,305,728 277,620 0.7% 96.1%

AC Acre 656,043 152,581 0.3% 96.4%

AP Amapá 594,587 142,814 0.3% 96.7%

RR Roraima 391,317 224,299 0.2% 96.9%

Total 189,987,291 8,514,877

For a remote survey where a surveyor will not physically visit households, data are collected

through : e-mail or web-based platform or SMS or telephone interview. The questions by the

remote survey will be such as checking operation without any problem, operating hours, etc.

In telephone interview, Respondents require a telephone (mobile or landline) and a reliable

telephone network to enable a telephone interview to take place. Additionally, there would be

immediate bias problems if the statistical design of the survey relied on random sampling of

telephone numbers, because households with no telephone will be excluded from the survey;

In Email or web-based platform or SMS, If the households have access to a computer (or

alternative device), practical problems below will be considered carefully;

CDM-PDD-FORM

Version 10.1 Page 41 of 71

(i) Do households regularly check their email?

(ii) Different households may have different IT systems with different capabilities

for displaying a questionnaire, which is particularly relevant to a

questionnaire embedded in an e-mail;

(iii) Emails may be easily ignored or missed due to automatic spam filters;

Sampling size

As per the “AM0120: Energy-efficient refrigerators and air-conditioners - Version 01.0”, the

parameter of interest, nj,y requires 90% confidence that the margin of error in estimate is not more

than ±10% in relative terms. This section covers sample size calculations based on a proportion (or

percentage) of interest being the objective of the project, under four different sampling schemes.

Regardless of the sampling scheme used, the following have to be pre-determined in order to

estimate the sample size:

(a) The value that the proportion is expected to take : 95%

(b) The level of precision, and confidence in that precision : 90/10

For all of the air conditioners below, the proportion of interest is the number of project air conditioners

that are still in operation at the end of the monitoring year after the project air conditioners are

distributed; it is thought that this proportion is 0.95 (95%). The project air conditioners will be

distributed to 1,406,000 through the whole Brazil during the project periods, and it has been assumed

that 1 household = 1 air conditioners.

Suppose that the population is homogeneous with respect to the continued use of the project air

conditioners. Therefore, simple random sampling would be an appropriate method to estimate the

proportion of the air conditioners still in operation.

The equation to give us the required sample size is:

n ≥1.6452𝑁 × 𝑝(1 − 𝑝)

(𝑁 − 1) × 0.12 × 𝑝2 × 1.6452𝑝(1 − 𝑝)

Where:

Sampling size is simply calculated by the sampling size calculator from UNFCCC and the value is

15 air conditioners per year from 2020 to 2029.

Therefore the required sample size is at least 19 households. This assumes that 95% of the project

air conditioners would be operating. If we changed our prior belief of the underlying true percentage

of working air conditioners p, this sample size would need recalculating.

Note that the figure of 19 households means 19 air conditioners with data for analysis. If we expected

the response rate from the sampled households to be only 80% then we would need to scale up this

number accordingly. Thus we would decide to sample 15/0.8 = 19 households. If not, it will give a

relative precision of up to 11.2% – not the 10% required. So by not adjusting our estimated sample

size to take into account the expected response rate we have an increased margin of error. One

solution to this could be to take an additional sample of air conditioners. This additional sample would

need to recruit 4 air conditioners which would then, again assuming a response rate of 80%. Adding

n = Sample size

N = Total number of households (1,406,000)

𝑝 = Expected proportion (0.95)

1.645 = Represents the 90% confidence required

0.1 = Represents the 10% relative precision (0.10.9 0.09 = 9% points either side

of p)

CDM-PDD-FORM

Version 10.1 Page 42 of 71

these to the existing 15 gives us data for 19 households, the number required to achieve 90/10

reliability.

Sampling frame

The sampling frame consists of all states or territories within Brazil (Consisted of 26 states and 1

federal district) that makes up the project boundary detailed in section A.2. The sampling frame will

be limited to the households that have had LGEBR improved air conditioners installed and registered

product information on LGEBR`s website. The sampling will carry out a yearly basis with

geographical classification based on the population of each state and also the sampling size will be

decided by the number of the project air conditioner sales and be appropriately assigned on each

state. The sampling size will only be assigned to the states which less than 80% of the accumulated

population cover out of the whole Brazil`s population. The assigned states for its sampling are São

Paulo, Minas Gerais, Rio de Janeiro, Bahia, Rio Grande do Sul, Paraná, Pernambuco, Ceará, Pará,

Maranhão, Santa Catarina and Goiás, those share of the accumulated population is 79.5%. As per

the plan of LGEBR sales during the crediting period, the expected sample size on each state is

below:

Table 19. LGEBR`s sampling plan

State Sales year

2020 2021 2022 2023 2024 2025 2026 2027 2028

São Paulo 5 5 5 5 5 5 5 5 5

Minas Gerais 2 2 2 2 2 2 2 2 2

Rio de Janeiro 2 2 2 2 2 2 2 2 2

Bahia 2 2 2 2 2 2 2 2 2

Rio Grande do Sul 1 1 1 1 1 1 1 1 1

Paraná 1 1 1 1 1 1 1 1 1

Pernambuco 1 1 1 1 1 1 1 1 1

Ceará 1 1 1 1 1 1 1 1 1

Pará 1 1 1 1 1 1 1 1 1

Maranhão 1 1 1 1 1 1 1 1 1

Santa Catarina 1 1 1 1 1 1 1 1 1

Goiás 1 1 1 1 1 1 1 1 1

Total 19 19 19 19 19 19 19 19 19

B.7.3. Other elements of monitoring plan

All data collected as part of monitoring should be archived electronically and be kept at least for 2

years after the end of the last crediting period. 100% of the data should be monitored if not

indicated otherwise. All measurements should be conducted with calibrated measurement

equipment according to relevant industry standards. LGEBR has set up a management entity

including four different departments i.e. R&D, Sales, Quality Assurance and Head Quarter. The

structure and overview of the monitoring process is shown in the figure below;

Sales audit and internal audit on LGEBR’s sales data are being performed during the annual financial

audit on LGEBR. For internal audit, LGEBR Brazil’s marketing and sales department conduct regular

audit on internal sales data of LGEBR Brazil. The main factor considered in the internal audit is

system and process checks. Whatever sales data stored in the internal system is official and cannot

be manipulated in any ways.

CDM-PDD-FORM

Version 10.1 Page 43 of 71

Figure 7. CDM monitoring plan overview

The data collection effort will take place throughout the crediting period and shall comprise the

following:

Eligibility verification : The project meets the basic eligibility characteristics of the project air

conditioners as following:

- Each air conditioner falls within the class defined and be produced by the manufacturer,

involved in the project activity, and sold in the domestic market (i.e., within the project

boundary)

- Supporting documents for the characteristics such as R&D lab data, VAT documentation,

Model name from sales data are available.

Cooling capacity and Energy Efficiency Ratio measurement

- Test for all of the project air conditioners will be carried out for measuring its cooling

capacity and energy efficiency ratio by certified laboratories.

The number of the project air conditioners sold within geographic boundary

- The sampling plan which LGEBR has established as per “Guidelines for sampling and

surveys for CDM project activities and programme of activities - Version 04.0” and “Standard

for sampling and surveys for CDM project activities and programme of activities - Version

07.0” will be applied.

- In order to count the number of the project air conditioner sold LGEBR will account for

response rate and cross-check with records of warranty for the project air conditioners

registered.

Annual operating hours of the project air conditioners

- As per “AM0120: Energy-efficient refrigerators and air-conditioners - Version 01.0”,

published survey data from a certified testing organization in Brazil will be used.

CO2 emission factor of Brazil`s grid electricity in year y

- Brazilian Interconnected Grid as a single system that covers all the five macro-geographical

regions of the country (North, Northeast, South, Southeast and Midwest), the boundaries of

Brazilian electricity system are clearly defined.

(https://www.mctic.gov.br/mctic/opencms/ciencia/SEPED/clima/arquivos/emissoes_co2/De

spacho_2018_sem-formulas_out_2018.xlsx)

SECTION C. Start date, crediting period type and duration

C.1. Start date of project activity

00/00/2019

The earliest date at which the first purchase order date of the project air-conditioners with energy

enhancements and low GWP refrigerant gases as planned according to CDM project activity.

C.2. Expected operational lifetime of project activity

CDM-PDD-FORM

Version 10.1 Page 44 of 71

C.3. Crediting period of project activity

C.3.1. Type of crediting period

Fixed crediting period.

C.3.2. Start date of crediting period

The date of registration.

C.3.3. Duration of crediting period

10 years

SECTION D. Environmental impacts

D.1. Analysis of environmental impacts

The project air conditioners have higher efficiency and lower GWP refrigerant than baseline air

conditioners have. The project especially contributes to improve the air quality of Brazil by reducing

electricity consumptions from Brazilian single electricity grid. As a result, the intensity of NOx, SOx

will decrease gradually and Brazilian government will appropriately respond to the international

regulations about usage and manufacturing of the refrigerants such as Kigali Amendment to the

Montreal Protocol(COP28) in advance. It is not necessary for LGEBR to build a new production line

for manufacturing the project air conditioners, therefore the project activity is not required to go

through any EIA permission.

D.2. Environmental impact assessment

There are currently no official requirements on environmental impacts of consumer electronics in

Brazil and no significant environmental impacts identified involved in the project. However, the

project boundary covers though the whole Brazil, LGEBR will get an approval by Brazilian DNA to

start the project activity and collect the feedback by local stakeholder consultation from all of the

states in Brazil. (Consisted of 26 states and 1 federal district)

SECTION E. Local stakeholder consultation

E.1. Modalities for local stakeholder consultation

The invitation to local stakeholders were done in accordance with Resolution No. 7 of the Brazilian

DNA. In order to satisfy and comply with the resolution, the project proponent sent invitation letters

describing the project, and requested comments from the following stakeholders:

No. State Institutions

1 N/A Federal environmental Secretary

CDM-PDD-FORM

Version 10.1 Page 45 of 71

2 Brazilian Forum of NGOs and Social Movements for the Environment and

Development

3 Federal Public Ministry

4 National consumer council (NGOS)

5

Sao Paulo

State Government

6 Legislative Assembly

7 Environmental Secretary

8 Prosecution Office

9

Minas Gerais

State Government

10 Legislative Assembly

11 Environmental Secretary

12 Prosecution Office

13

Rio de Janeiro

State Government

14 Legislative Assembly

15 Environmental Secretary

16 Prosecution Office

17

Bahia

State Government

18 Legislative Assembly

19 Environmental Secretary

20 Prosecution Office

21

Rio Grande do Sul

State Government

22 Legislative Assembly

23 Environmental Secretary

24 Prosecution Office

25

Paraná

State Government

26 Legislative Assembly

27 Environmental Secretary

28 Prosecution Office

29

Pernambuco

State Government

30 Legislative Assembly

31 Environmental Secretary

32 Prosecution Office

33

Ceará

State Government

34 Legislative Assembly

35 Environmental Secretary

CDM-PDD-FORM

Version 10.1 Page 46 of 71

36 Prosecution Office

37

Pará

State Government

38 Legislative Assembly

39 Environmental Secretary

40 Prosecution Office

41

Maranhão

State Government

42 Legislative Assembly

43 Environmental Secretary

44 Prosecution Office

45

Santa Catarina

State Government

46 Legislative Assembly

47 Environmental Secretary

48 Prosecution Office

49

Goiás

State Government

50 Legislative Assembly

51 Environmental Secretary

52 Prosecution Office

53

Paraíba

State Government

54 Legislative Assembly

55 Environmental Secretary

56 Prosecution Office

57

Espírito Santo

State Government

58 Legislative Assembly

59 Environmental Secretary

60 Prosecution Office

61

Amazonas

State Government

62 Legislative Assembly

63 Environmental Secretary

64 Prosecution Office

65

Alagoas

State Government

66 Legislative Assembly

67 Environmental Secretary

68 Prosecution Office

69

Piauí

State Government

70 Legislative Assembly

CDM-PDD-FORM

Version 10.1 Page 47 of 71

71 Environmental Secretary

72 Prosecution Office

73

Rio Grande do Norte

State Government

74 Legislative Assembly

75 Environmental Secretary

76 Prosecution Office

77

Mato Grosso

State Government

78 Legislative Assembly

79 Environmental Secretary

80 Prosecution Office

81

Distrito Federal

State Government

82 Legislative Assembly

83 Environmental Secretary

84 Prosecution Office

85

Mato Grosso do Sul

State Government

86 Legislative Assembly

87 Environmental Secretary

88 Prosecution Office

89

Sergipe

State Government

90 Legislative Assembly

91 Environmental Secretary

92 Prosecution Office

93

Rondônia

State Government

94 Legislative Assembly

95 Environmental Secretary

96 Prosecution Office

97

Tocantins

State Government

98 Legislative Assembly

99 Environmental Secretary

100 Prosecution Office

101

Acre

State Government

102 Legislative Assembly

103 Environmental Secretary

104 Prosecution Office

105 Amapá State Government

CDM-PDD-FORM

Version 10.1 Page 48 of 71

106 Legislative Assembly

107 Environmental Secretary

108 Prosecution Office

109

Roraima

State Government

110 Legislative Assembly

111 Environmental Secretary

112 Prosecution Office

Local stakeholders were also instructed to request paper copies of these documents through the

postal service, in the cases that internet access was not possible.

The letters were sent on 00/00/2019 (more than 15 days prior the DOE Validation process start and

the proposed project activity remains open for comments until their registration as a CDM PA as

required by the Resolution #7 of the Brazilian DNA).

The letter contains an explanation of project name, outline, project participants, project name,

applied technologies, crediting period.

E.2. Summary of comments received

No comments were received by e-mail or postal service.

E.3. Consideration of comments received

No action required.

SECTION F. Approval and authorization

The Letter of Approval was issued by the Brazilian DNA in 00/00/2019(to be determine), so before

the CDM Executive Board project request for registration.

CDM-PDD-FORM

Version 10.1 Page 49 of 71

Appendix 1. Contact information of project participants

Organization name LG Electronics do Brasil Ltda.

Country Brazil

Address Av. Doutor Chucri Zaidan 940 – 3º andar – São Paulo/SP – 04583-110

Telephone 55-11-2162-5680

Fax N/A

E-mail mauro.apor@lge.com

Website lg.com

Contact person Mauro Apor

Appendix 2. Affirmation regarding public funding

There is no Kyoto Protocol Annex 1 country public fund financing this project activity.

Appendix 3. Applicability of methodologies and standardized

baselines

No further information.

Appendix 4. Further background information on ex ante calculation of

emission reductions

1. Raw market data

Inverter Type

Manufacturer Brand

Model

Type Capacity

(kW/hr)

Consumed

Electrical Power(W)

EER

(W/W)

Energy

Consumption (kWh/mon)

Refrigerants

Charge Capacity

(kg) Outdoor unit

ELECTROLUX ELECTROLUX BE07F FRIO 7,000 633 3.24 13.3 R410a

ELECTROLUX ELECTROLUX BE07R REVERSO 7,000 633 3.24 13.3 R410a

LG LG ASUQ092WSA0 FRIO 8,500 769 3.24 16.1 R410a

LG LG ASUW092WSA0 REVERSO 8,500 770 3.24 16.2 R410a

CENTER KENNED Y KENNEDY KEN09EXT FRIO 9,000 829 3.24 17.4 R410a

ELECTROLUX ELECTROLUX BE09F FRIO 9,000 813 3.24 17.1 R410a

ELECTROLUX ELECTROLUX BE09R REVERSO 9,000 813 3.24 17.1 R410a

ELGIN ELGIN HVFE09B2IA FRIO 9,000 815 3.24 17.1 R410a

GRUPO NORDESTE ELBRUS DG09EXT FRIO 9,000 805 3.24 16.9 R410a 0.6

KOMLOG KOMECO KOHI 09QC 1HX REVERSO 9,000 814 3.24 17.1 R410a

LG LG USUQ092WSG3 FRIO 9,000 815 3.24 17.1 R410a

LG LG USUW092WSG3 REVERSO 9,000 815 3.24 17.1 R410a

SAMSUNG SAMSUNG AR09KSSPBGMXAZ REVERSO 9,000 814 3.24 17.1 R410a

WHIRLPOOL CONSUL CBG09D FRIO 9,000 814 3.24 17.1 R410a

WHIRLPOOL CONSUL CBM09D REVERSO 9,000 814 3.24 17.1 R410a

AB GOMES UNIFRIO INV09EXT FRIO 9,000 768 3.26 16.1 R410a

COOL

EMPREENDIMENTOS COOL KEMPR09EXT FRIO 9,000 768 3.26 16.1 R410a

ELGIN ELGIN HVQE09B2IA REVERSO 9,000 809 3.26 17.0 R410a

Philco Eletrônicos S.A Philco PAC9000IFM4 FRIO 9,000 847 3.26 17.8 R410a

Philco Eletrônicos S.A Philco PAC9000IQFM4 REVERSO 9,000 847 3.26 17.8 R410a

WHIRLPOOL CONSUL CBG09C FRIO 9,000 810 3.26 17.0 R410a

WHIRLPOOL CONSUL CBM09C REVERSO 9,000 810 3.26 17.0 R410a

SAMSUNG SAMSUNG AR09HSSPBSNXAZ REVERSO 9,000 807 3.27 16.9 R410a

GREE GREE GWC09MA-

D3DNC1F/O FRIO 9,000 805 3.28 16.9 R410a

CDM-PDD-FORM

Version 10.1 Page 50 of 71

Manufacturer Brand

Model

Type Capacity

(kW/hr)

Consumed

Electrical Power(W)

EER

(W/W)

Energy

Consumption (kWh/mon)

Refrigerants

Charge Capacity

(kg) Outdoor unit

GREE GREE GWH09MA-

D3DNC1F/O REVERSO 9,000 805 3.28 16.9 R410a

LG LG USUQ092WSZ2 FRIO 9,000 805 3.28 16.9 R410a

LG LG USUW092WSZ2 REVERSO 9,000 805 3.28 16.9 R410a

DAIKIN MACQUAY DAIKIN RX09N5VL REVERSO 9,000 791 3.30 16.6 R410a

ELGIN ELGIN IBQEA-9000-2 REVERSO 9,000 800 3.30 16.8 R410a

LG LG ASUQ092BRG2 FRIO 9,000 800 3.30 16.8 R410a

LG LG ASUW092BRG2 REVERSO 9,000 800 3.30 16.8 R410a

SPRINGER CARRIER CARRIER 38LVQC09C5 REVERSO 9,000 799 3.30 16.8 R410a

Philco Eletrônicos S.A Philco PH9000IFM FRIO 9,000 796 3.31 16.7 R410a 0.77

Philco Eletrônicos S.A Philco PH9000IQFM REVERSO 9,000 796 3.31 16.7 R410a 0.78

ELGIN ELGIN IBFEA-9000-2 FRIO 9,000 790 3.34 16.6 R410a

FUJITSU FUJITSU AOBR09JGC FRIO 9,000 790 3.34 16.6 R410a

FUJITSU FUJITSU AOBR09LGC REVERSO 9,000 790 3.34 16.6 R410a

SAMSUNG SAMSUNG AR09KVSPBSNXAZ/

AR09HVSPBSNXAZ FRIO 9,000 790 3.34 16.6 R410a

BRITÂ NIA

ELETRODOMÉ STICOS PHILCO PH9000IFM5 FRIO 9,000 745 3.35 15.6 R410a

BRITÂ NIA

ELETRODOMÉ STICOS PHILCO PH9000IQFM5 REVERSO 9,000 745 3.35 15.6 R410a

Philco Eletrônicos S.A Philco PH9000IFM5 FRIO 9,000 745 3.35 15.6 R410a

Philco Eletrônicos S.A Philco PH9000IQFM5 REVERSO 9,000 745 3.35 15.6 R410a

Philco Eletrônicos S.A Philco PH9000IFM5 FRIO 9,000 745 3.35 15.6 R410a

Philco Eletrônicos S.A Philco PH9000IQFM5 REVERSO 9,000 745 3.35 15.6 R410a

SPRINGER CARRIER MIDEA 38MBQA09M5 REVERSO 9,000 784 3.36 16.5 R410a

SPRINGER CARRIER CARRIER 38FVQA09C5 REVERSO 9,000 783 3.37 16.4 R410a

LG LG

ASUQ092B4A0

ASUQ092BRW0 ASUQ092BRZ0

FRIO 9,000 775 3.40 16.3 R410a

PANASONIC PANASONIC CU-PS9PKV-71 FRIO 9,000 780 3.40 16.4 R410a

SPRINGER CARRIER CARRIER 42LVCC09C5 FRIO 9,000 776 3.40 16.3 R410a

SPRINGER CARRIER MIDEA 38MBCA09M5 FRIO 9,000 762 3.46 16.0 R410a

DAIKIN MACQUAY DAIKIN RH09P5VL REVERSO 9,000 759 3.48 15.9 R410a

DAIKIN MACQUAY DAIKIN RK09P5VL FRIO 9,000 758 3.55 15.9 R410a 0.62 DG12EXT

KOMLOG KOMECO KOHI 09QC REVERSO 9,000 743 3.55 15.6 R410a

KOMLOG KOMECO KOHI 09QC REVERSO 9,000 743 3.55 15.6 R410a

KOMLOG KOMECO KOHI 09QC REVERSO 9,000 743 3.55 15.6 R410a

FUJITSU FUJITSU AOBG09LMCA REVERSO 9,000 740 3.56 15.5 R410a

FUJITSU FUJITSU AOBG09JMCA FRIO 9,000 740 3.56 15.5 R410a

DAIKIN MACQUAY DAIKIN 3MXS24PMVM REVERSO 9,000 705 3.98 14.8 R410a

GREE GREE GWH09UB-

D3DNA3D/O REVERSO 9,000 660 4.00 13.9 R410a

FUJITSU FUJITSU AOBG09LJC REVERSO 9,000 650 4.06 13.7 R410a

LG LG ASUW092B4A0 ASUW092BRW0

ASUW092BRZ0

REVERSO 8,500 600 4.15 12.6 R410a

DAIKIN MACQUAY DAIKIN 3MXS18PMVM REVERSO 9,000 632 4.32 13.3 R410a

GREE GREE GWH09TB-

D3DNA1C/O REVERSO 9,000 550 4.79 11.6 R410a

LG LG USUQ122HSG3 FRIO 11,500 1,040 3.24 21.8 R410a

LG LG USUW122HSG3 REVERSO 11,500 1,040 3.24 21.8 R410a

CENTER KENNED Y KENNEDY KEN12EXT FRIO 12,000 1,055 3.24 22.2 R410a

ELECTROLUX ELECTROLUX BE12F FRIO 12,000 1,085 3.24 22.8 R410a

ELECTROLUX ELECTROLUX BE12R REVERSO 12,000 1,085 3.24 22.8 R410a

ELGIN ELGIN HVFE12B2IA FRIO 12,000 1,086 3.24 22.8 R410a

FUJITSU FUJITSU AOBR12JGC FRIO 12,000 1,085 3.24 22.8 R410a

GREE GREE GWC12MB-

D3DNC1F/O FRIO 12,000 1,085 3.24 22.8 R410a

GREE GREE GWH12MB-

D3DNC1F/O REVERSO 12,000 1,085 3.24 22.8 R410a

GRUPO NORDESTE ELBRUS DG12EXT FRIO 12,000 1,070 3.24 22.5 R410a 0.86

KOMLOG KOMECO KOHI 12QC 1HX REVERSO 12,000 1,086 3.24 22.8 R410a

LG LG ASUQ122BSA1 FRIO 12,000 1,085 3.24 22.8 R410a

LG LG USUQ122BSZ2 FRIO 12,000 1,085 3.24 22.8 R410a

LG LG ASUW122BSA1 REVERSO 12,000 1,085 3.24 22.8 R410a

LG LG USUW122BSZ2 REVERSO 12,000 1,085 3.24 22.8 R410a

LG LG ASUQ122BRG2 FRIO 12,000 1,085 3.24 22.8 R410a

LG LG ASUW122BRG2 REVERSO 12,000 1,085 3.24 22.8 R410a

SAMSUNG SAMSUNG AR12KVSPBGMXAZ FRIO 12,000 1,085 3.24 22.8 R410a

WHIRLPOOL CONSUL CBG12D FRIO 12,000 1,085 3.24 22.8 R410a

WHIRLPOOL CONSUL CBM12D REVERSO 12,000 1,085 3.24 22.8 R410a

AB GOMES UNIFRIO INV12EXT FRIO 12,000 1,020 3.25 21.4 R410a

COOL

EMPREENDIMENTOS COOL KEMPR12EXT FRIO 12,000 1,020 3.25 21.4 R410a

SPRINGER CARRIER MIDEA 38MBQA12M5 REVERSO 12,000 1,082 3.25 22.7 R410a

ELGIN ELGIN HVQE12B2IA REVERSO 12,000 1,080 3.26 22.7 R410a

CDM-PDD-FORM

Version 10.1 Page 51 of 71

Manufacturer Brand

Model

Type Capacity

(kW/hr)

Consumed

Electrical Power(W)

EER

(W/W)

Energy

Consumption (kWh/mon)

Refrigerants

Charge Capacity

(kg) Outdoor unit

LG LG ASUW1223WB0 REVERSO 12,000 1,080 3.26 22.7 R410a

SAMSUNG SAMSUNG AR12KSSPBGMXAZ REVERSO 12,000 1,078 3.26 22.6 R410a

WHIRLPOOL CONSUL CBG12C FRIO 12,000 1,080 3.26 22.7 R410a

WHIRLPOOL CONSUL CBM12C REVERSO 12,000 1,080 3.26 22.7 R410a

BRITÂ NIA

ELETRODOMÉ STICOS PHILCO PH12000IFM5 FRIO 12,000 1,018 3.28 21.4 R410a

BRITÂ NIA ELETRODOMÉ STICOS

PHILCO PH12000IQFM5 REVERSO 12,000 1,018 3.28 21.4 R410a

PANASONIC PANASONIC CU-PS12PKV-71 REVERSO 12,000 1,080 3.28 22.7 R410a

Philco Eletrônicos S.A Philco PH12000IFM5 FRIO 12,000 1,018 3.28 21.4 R410a

Philco Eletrônicos S.A Philco PH12000IQFM5 REVERSO 12,000 1,018 3.28 21.4 R410a

Philco Eletrônicos S.A Philco PH12000IFM5 FRIO 12,000 1,018 3.28 21.4 R410a

Philco Eletrônicos S.A Philco PH12000IQFM5 REVERSO 12,000 1,018 3.28 21.4 R410a

Philco Eletrônicos S.A Philco PH12000IFM FRIO 12,000 1,030 3.29 21.6 R410a 1.10

Philco Eletrônicos S.A Philco PH12000IQFM REVERSO 12,000 1,030 3.29 21.6 R410a 1.15

SPRINGER CARRIER CARRIER 38LVCC12C5 FRIO 12,000 1,069 3.29 22.4 R410a

FUJITSU FUJITSU AOBG12LMCA REVERSO 12,000 1,060 3.32 22.3 R410a

FUJITSU FUJITSU AOBG12JMCA FRIO 12,000 1,060 3.32 22.3 R410a

SAMSUNG SAMSUNG AR12HSSPASNXAZ REVERSO 12,000 1,096 3.33 23.0 R410a

SAMSUNG SAMSUNG AR12HSSPASNXAZ FRiO 12,000 1,096 3.33 23.0 R410a

SPRINGER CARRIER CARRIER 38LVQC12C5 REVERSO 12,000 1,053 3.34 22.1 R410a

ELGIN ELGIN IBQEA-12000-2 REVERSO 12,000 1,050 3.35 22.1 R410a

FUJITSU FUJITSU AOBR12LGC REVERSO 12,000 1,050 3.35 22.1 R410a

SPRINGER CARRIER MIDEA 38MBCA12M5 FRIO 12,000 1,049 3.35 22.0 R410a

LG LG

ASUQ122B4A0

ASUQ122BRW0

ASUQ122BRZ0

FRIO 12,000 1,030 3.41 21.6 R410a

DAIKIN MACQUAY DAIKIN RH12P5VL REVERSO 12,000 1,011 3.43 21.2 R410a

SPRINGER CARRIER CARRIER 38FVQA12C5 REVERSO 12,000 1,025 3.43 21.5 R410a

DAIKIN MACQUAY DAIKIN RK12P5VL FRIO 12,000 1,026 3.45 21.5 R410a 0.9

Philco Eletrônicos S.A Philco PAC12000IFM4 FRIO 12,000 1,002 3.45 21.0 R410a

Philco Eletrônicos S.A Philco PAC12000IQFM4 REVERSO 12,000 1,002 3.45 21.0 R410a

LG LG

ASUW122B4A0

ASUW122BRW0

ASUW122BRZ0

REVERSO 12,000 1,010 3.48 21.2 R410a

DAIKIN MACQUAY DAIKIN 4MXS34PMVM REVERSO 12,000 1,003 3.53 21.1 R410a

DAIKIN MACQUAY DAIKIN RX12N5VL REVERSO 12,000 1,012 3.54 21.3 R410a

KOMLOG KOMECO KOHI 12QC REVERSO 12,000 990 3.55 20.8 R410a

KOMLOG KOMECO KOHI 12QC REVERSO 12,000 990 3.55 20.8 R410a

KOMLOG KOMECO KOHI 12QC REVERSO 12,000 990 3.55 20.8 R410a

ELGIN ELGIN IBFEA-12000-2 FRIO 12,000 985 3.57 20.7 R410a

DAIKIN MACQUAY DAIKIN 4MXS28PMVM REVERSO 12,000 1,000 3.60 21.0 R410a

GREE GREE GWH12UB-

D3DNA3D/O REVERSO 12,000 975 3.61 20.5 R410a

FUJITSU FUJITSU AOBG12LJC REVERSO 12,000 960 3.66 20.2 R410a

GREE GREE GWH12TB-D3DNA1C/O

REVERSO 12,000 926 3.80 19.4 R410a

LG LG ASUQ182CSA1 FRIO 17,000 1,538 3.24 32.3 R410a

LG LG ASUW182CSA1 REVERSO 17,000 1,538 3.24 32.3 R410a

CENTER KENNED Y KENNEDY KEN18EXT FRIO 18,000 1,690 3.24 35.5 R410a

ELECTROLUX ELECTROLUX BE18F FRIO 18,000 1,627 3.24 34.2 R410a

ELECTROLUX ELECTROLUX BE18R REVERSO 18,000 1,627 3.24 34.2 R410a

ELGIN ELGIN HVFE18B2IA FRIO 18,000 1,630 3.24 34.2 R410a

GREE GREE GWC18MC-

D3DNC1F/O FRIO 18,000 1,630 3.24 34.2 R410a

GREE GREE GWH18MC-

D3DNC1F/O REVERSO 18,000 1,630 3.24 34.2 R410a

KOMLOG KOMECO KOHI 18QC 1HX REVERSO 18,000 1,627 3.24 34.2 R410a

SAMSUNG SAMSUNG AR18KVSPSGMNAZ FRIO 18,000 1,630 3.24 34.2 R410a

WHIRLPOOL CONSUL CBG18D FRIO 18,000 1,628 3.24 34.2 R410a

WHIRLPOOL CONSUL CBM18D REVERSO 18,000 1,628 3.24 34.2 R410a

ELGIN ELGIN HVQE18B2IA REVERSO 18,000 1,625 3.25 34.1 R410a

GRUPO NORDESTE ELBRUS DG18EXT FRIO 18,000 1,710 3.25 35.9 R410a 1.28

KOMLOG KOMECO KOHI 18QC REVERSO 18,000 1,623 3.25 34.1 R410a

KOMLOG KOMECO KOHI 18QC REVERSO 18,000 1,623 3.25 34.1 R410a

KOMLOG KOMECO KOHI 18QC REVERSO 18,000 1,623 3.25 34.1 R410a

SPRINGER CARRIER MIDEA 38MBCA18M5 FRIO 18,000 1,623 3.25 34.1 R410a

WHIRLPOOL CONSUL CBG18C FRIO 18,000 1,618 3.26 34.0 R410a

WHIRLPOOL CONSUL CBM18C REVERSO 18,000 1,618 3.26 34.0 R410a

AB GOMES UNIFRIO INV18EXT FRIO 18,000 1,807 3.28 37.9 R410a

COOL

EMPREENDIMENTOS COOL KEMPR18EXT FRIO 18,000 1,807 3.28 37.9 R410a

SPRINGER CARRIER MIDEA 38MBQA18M5 REVERSO 18,000 1,606 3.28 33.7 R410a

FUJITSU FUJITSU AOBR18LEC REVERSO 18,000 1,600 3.30 33.6 R410a

LG LG USUQ182CSZ2 FRIO 18,000 1,600 3.30 33.6 R410a

CDM-PDD-FORM

Version 10.1 Page 52 of 71

Manufacturer Brand

Model

Type Capacity

(kW/hr)

Consumed

Electrical Power(W)

EER

(W/W)

Energy

Consumption (kWh/mon)

Refrigerants

Charge Capacity

(kg) Outdoor unit

LG LG USUW182CSZ2 REVERSO 18,000 1,600 3.30 33.6 R410a

LG LG ASUQ182CRG2 FRIO 18,000 1,600 3.30 33.6 R410a

LG LG USUQ182CSG3 FRIO 18,000 1,600 3.30 33.6 R410a

LG LG ASUW182CRG2 REVERSO 18,000 1,600 3.30 33.6 R410a

LG LG USUW182CSG3 REVERSO 18,000 1,600 3.30 33.6 R410a

FUJITSU FUJITSU AOBR18JCC FRIO 18,000 1,580 3.34 33.2 R410a

FUJITSU FUJITSU AOBG15LJC REVERSO 15,000 1,309 3.36 27.5 R410a

Philco Eletrônicos S.A Philco PAC18000IFM4 FRIO 18,000 1,536 3.36 32.3 R410a

Philco Eletrônicos S.A Philco PAC18000IQFM4 REVERSO 18,000 1,536 3.36 32.3 R410a

SPRINGER CARRIER CARRIER 38FVQA18C5 REVERSO 18,000 1,556 3.39 32.7 R410a

LG LG

ASUQ182C4A0

ASUQ182CRW0

ASUQ182CRZ0

FRIO 18,000 1,550 3.40 32.6 R410a

SPRINGER CARRIER CARRIER 38LVCC18C5 FRIO 18,000 1,528 3.45 32.1 R410a

DAIKIN MACQUAY DAIKIN RK18P5VL FRIO 18,000 1,498 3.46 31.5 R410a 1.30

PANASONIC PANASONIC CU-PS18PKV-71 FRIO 18,000 1,560 3.46 32.8 R410a

SPRINGER CARRIER CARRIER 38LVQC18C5 REVERSO 18,000 1,525 3.46 32.0 R410a

BRITÂ NIA

ELETRODOMÉ STICOS PHILCO PH18000IFM5 FRIO 18,000 1,494 3.47 31.4 R410a

1.02

BRITÂ NIA ELETRODOMÉ STICOS

PHILCO PH18000IQFM5 REVERSO 18,000 1,494 3.47 31.4 R410a 1.10

Philco Eletrônicos S.A Philco PH18000IFM5 FRIO 18,000 1,494 3.47 31.4 R410a

Philco Eletrônicos S.A Philco PH18000IQFM5 REVERSO 18,000 1,494 3.47 31.4 R410a

Philco Eletrônicos S.A Philco PH18000IFM5 FRIO 18,000 1,494 3.47 31.4 R410a

Philco Eletrônicos S.A Philco PH18000IQFM5 REVERSO 18,000 1,494 3.47 31.4 R410a

SAMSUNG SAMSUNG AR18JSSPSGMNAZ REVERSO 18,000 1,515 3.48 31.8 R410a

DAIKIN MACQUAY DAIKIN RH18P5VL REVERSO 18,000 1,511 3.52 31.7 R410a

LG LG

ASUW182C4A0

ASUW182CRW0

ASUW182CRZ0

REVERSO 18,000 1,500 3.52 31.5 R410a

DAIKIN MACQUAY DAIKIN RX18N5VL REVERSO 18,000 1,437 3.54 30.2 R410a

FUJITSU FUJITSU AOBR30LCT REVERSO 27,000 2,629 3.01 55.2 R410a

FUJITSU FUJITSU AOBR30JCT FRIO 27,000 2,600 3.05 54.6 R410a

FUJITSU FUJITSU AOBR24JCC FRIO 24,000 2,270 3.10 47.7 R410a

LG LG ASUQ242C4A0 ASUQ242CRW0

FRIO 22,000 2,010 3.21 42.2 R410a

FUJITSU FUJITSU AOBR24JFC FRIO 23,000 2,100 3.21 44.1 R410a

FUJITSU FUJITSU AOBR24LCC REVERSO 24,000 2,191 3.21 46.0 R410a

FUJITSU FUJITSU AOBR24LCL REVERSO 24,000 2,191 3.21 46.0 R410a

LG LG ASUW242C4A0

ASUW242CRW0 REVERSO 24,000 2,190 3.21 46.0 R410a

ELECTROLUX ELECTROLUX BE22F FRIO 22,000 1,989 3.24 41.8 R410a

ELECTROLUX ELECTROLUX BE22R REVERSO 22,000 1,989 3.24 41.8 R410a

FUJITSU FUJITSU AOBR24JMLA FRIO 22,000 1,990 3.24 41.8 R410a

GREE GREE GWC24MD-

D3DNC1F/O FRIO 22,000 1,989 3.24 41.8 R410a

GREE GREE GWH24MD-D3DNC1F/O

REVERSO 22,000 1,989 3.24 41.8 R410a

KOMLOG KOMECO KOHI 22QC 1HX REVERSO 22,000 1,990 3.24 41.8 R410a

LG LG ASUQ242CSA1 FRIO 22,000 1,990 3.24 41.8 R410a

LG LG USUQ242CSZ2 FRIO 22,000 1,990 3.24 41.8 R410a

LG LG ASUQ242CRZ1 FRIO 22,000 1,990 3.24 41.8 R410a

LG LG ASUW242CSA1 REVERSO 22,000 1,990 3.24 41.8 R410a

LG LG USUW242CSZ2 REVERSO 22,000 1,990 3.24 41.8 R410a

LG LG ASUW242CRZ1 REVERSO 22,000 1,990 3.24 41.8 R410a

LG LG ASUQ242CRG2 FRIO 22,000 1,990 3.24 41.8 R410a

LG LG USUQ242CSG3 FRIO 22,000 1,990 3.24 41.8 R410a

LG LG ASUW242CRG2 REVERSO 22,000 1,990 3.24 41.8 R410a

LG LG USUW242CSG3 REVERSO 22,000 1,990 3.24 41.8 R410a

WHIRLPOOL CONSUL CBG22D FRIO 22,000 1,989 3.24 41.8 R410a

WHIRLPOOL CONSUL CBM22D REVERSO 22,000 1,989 3.24 41.8 R410a

AB GOMES UNIFRIO INV24EXT FRIO 24,000 2,357 3.24 49.5 R410a

COOL EMPREENDIMENTOS

COOL KEMPR24EXT FRIO 24,000 2,357 3.24 49.5 R410a

ELGIN ELGIN HVQE24B2IA REVERSO 24,000 2,168 3.24 45.5 R410a

ELGIN ELGIN HVFE24B2IA FRIO 24,000 2,173 3.24 45.6 R410a

GRUPO NORDESTE ELBRUS DG24EXT FRIO 24,000 2,357 3.24 49.5 R410a 1.80

KOMLOG KOMECO KOHI 24QC 1HX REVERSO 24,000 2,170 3.24 45.6 R410a

FUJITSU FUJITSU AOBR30LFT REVERSO 27,000 2,440 3.24 51.2 R410a

SPRINGER CARRIER CARRIER 38FVQA22C5 REVERSO 22,000 1,984 3.25 41.7 R410a

KOMLOG KOMECO KOHI 24QC REVERSO 24,000 2,164 3.25 45.4 R410a

KOMLOG KOMECO KOHI 24QC REVERSO 24,000 2,164 3.25 45.4 R410a

KOMLOG KOMECO KOHI 24QC REVERSO 24,000 2,164 3.25 45.4 R410a

SAMSUNG SAMSUNG AR24KVSPASNXAZ FRiO 24,000 2,510 3.25 52.7 R410a

SAMSUNG SAMSUNG AR24KSSPASNXAZ REVERSO 24,000 2,510 3.25 52.7 R410a

CDM-PDD-FORM

Version 10.1 Page 53 of 71

Manufacturer Brand

Model

Type Capacity

(kW/hr)

Consumed

Electrical Power(W)

EER

(W/W)

Energy

Consumption (kWh/mon)

Refrigerants

Charge Capacity

(kg) Outdoor unit

AB GOMES UNIFRIO INV30EXT FRIO 30,000 2,690 3.25 56.5 R410a

COOL

EMPREENDIMENTOS COOL KEMPR30EXT FRIO 30,000 2,690 3.25 56.5 R410a

GRUPO NORDESTE ELBRUS DG30EXT FRIO 30,000 2,690 3.25 56.5 R410a

PANASONIC PANASONIC CU-PS22PKV-71 REVERSO 22,000 2,050 3.26 43.1 R410a

WHIRLPOOL CONSUL CBG22C FRIO 22,000 1,980 3.26 41.6 R410a

WHIRLPOOL CONSUL CBM22C REVERSO 22,000 1,980 3.26 41.6 R410a

FUJITSU FUJITSU AOBR24LFL REVERSO 24,000 2,160 3.26 45.4 R410a

BRITÂ NIA

ELETRODOMÉ STICOS PHILCO PH24000IFM5 FRIO 22,000 1,837 3.29 38.6 R410a

BRITÂ NIA ELETRODOMÉ STICOS

PHILCO PH24000IQFM5 REVERSO 22,000 1,837 3.29 38.6 R410a

Philco Eletrônicos S.A Philco PAC24000IFM8 FRIO 22,000 1,837 3.29 38.6 R410a 1.74

Philco Eletrônicos S.A Philco PAC24000IQFM8 REVERSO 22,000 1,837 3.29 38.6 R410a 1.74

Philco Eletrônicos S.A Philco PAC24000IFM8 FRIO 22,000 1,837 3.29 38.6 R410a

Philco Eletrônicos S.A Philco PAC24000IQFM8 REVERSO 22,000 1,837 3.29 38.6 R410a

SPRINGER CARRIER CARRIER 38LVQC22C5 REVERSO 22,000 1,954 3.30 41.0 R410a

SPRINGER CARRIER MIDEA 38LVCC22C5 FRIO 22,000 1,948 3.31 40.9 R410a

SPRINGER CARRIER MIDEA 38MBCA22M5 FRIO 24,000 2,070 3.40 43.5 R410a

SPRINGER CARRIER MIDEA 38MBQA22M5 REVERSO 24,000 2,070 3.40 43.5 R410a

FUJITSU FUJITSU AOBR30JFT FRIO 27,000 2,320 3.41 48.7 R410a

EXTRA INFORMATICA VG ASW-30A2/QAR1-2 FRIO 30,000 2,537 3.46 53.3 R410a

DAIKIN MACQUAY DAIKIN RK24P5VL FRIO 24,000 2,014 3.47 42.3 R410a 1.45

Philco Eletrônicos S.A Philco PAC24000IFM4 FRIO 24,000 1,908 3.49 40.1 R410a

Philco Eletrônicos S.A Philco PAC24000IQFM4 REVERSO 24,000 1,908 3.49 40.1 R410a

DAIKIN MACQUAY DAIKIN RH24P5VL REVERSO 24,000 2,000 3.53 42.0 R410a

DAIKIN MACQUAY DAIKIN RX24N5VL REVERSO 24,000 2,000 3.53 42.0 R410a

Fixed type

Manufacturer Brand Model Type Capacity

(kW/hr)

Consumed

Electrical

Power(W)

EER

(W/W)

Energy

Consumption

(kWh/mon)

KOMLOG KOMECO KOW 09FC G3

KOMLOG KOMECO KOW 09QC G3 REVERSO 9,000 1,006 2.62 21.1

SPRINGER CARRIER MIDEA 38MWCA09M5 FRIO 9,000 1,008 2.62 21.2

SPRINGER CARRIER MIDEA 38MWQA09M5 REVERSO 9,000 1,008 2.62 21.2

ELGIN ELGIN SJFE - 9.000-2 FRIO 9,000 990 2.66 20.8

ELGIN ELGIN SJFEX-9000-2 FRIO 9,000 990 2.66 20.8

GREE GREE GJ9-22L/A FRIO 9,000 960 2.75 20.2

GREE GREE GJ9-22LM/A FRIO 9,000 960 2.75 20.2

GREE GREE GJ9-22RM/A REVERSO 9,000 960 2.75 20.2

GREE GREE GJ7-22RMF REVERSO 7,000 740 2.77 15.5

ELGIN ELGIN SOFE - 7.000-2 FRIO 7,000 730 2.81 15.3

ELGIN ELGIN SOFE - 7.000-2 FRIO 7,000 730 2.81 15.3

ELGIN ELGIN SOFE-7.000-1 FRIO 7,000 730 2.81 15.3

ELGIN ELGIN SJFE - 7.000-1 FRIO 7,000 730 2.81 15.3

ELGIN ELGIN SJFE - 7.000-2 FRIO 7,000 730 2.81 15.3

ELGIN ELGIN SJFEX-7000-1 FRIO 7,000 730 2.81 15.3

ELGIN ELGIN SJFEX-7000-2 FRIO 7,000 730 2.81 15.3

SPRINGER CARRIER COMFEE 38MMCA07F5 FRIO 7,000 729 2.81 15.3

SPRINGER CARRIER COMFEE 38MMQA07F5 REVERSO 7,000 729 2.81 15.3

SPRINGER CARRIER COMFEE 38MMQB07F5 REVERSO 7,000 729 2.81 15.3

SPRINGER CARRIER MIDEA 38MTCA07M5 FRIO 7,000 729 2.81 15.3

SPRINGER CARRIER MIDEA 38MTCB07M5 FRIO 7,000 729 2.81 15.3

SPRINGER CARRIER MIDEA 38MTQB07M5 REVERSO 7,000 729 2.81 15.3

GREE GREE GWCN09DAND1A3A/O FRIO 9,000 940 2.81 19.7

GREE GREE GWHN09DAND1A3A/O REVERSO 9,000 940 2.81 19.7

SPRINGER CARRIER MIDEA 38MWCB07M5 FRIO 7,000 727 2.82 15.3

ELGIN ELGIN SZFE-9000-2 FRIO 9,000 935 2.82 19.6

SPRINGER CARRIER MIDEA 38MWCB09M5 FRIO 9,000 935 2.82 19.6

ELGIN ELGIN SQFIC-7000-1 FRIO 7,000 725 2.83 15.2

KOMLOG KOMECO KOS 09FC 3LA FRIO 9,000 932 2.83 19.6

KOMLOG KOMECO KOS 09QC 3LA REVERSO 9,000 932 2.83 19.6

KOMLOG KOMECO KOS 09FC 3LA FRIO 9,000 932 2.83 19.6

KOMLOG KOMECO KOS 09QC 3LA REVERSO 9,000 932 2.83 19.6

KOMLOG KOMECO KOS 09QC 4LA REVERSO 9,000 932 2.83 19.6

KOMLOG KOMECO KOS 09FC 4LA FRIO 9,000 932 2.83 19.6

CDM-PDD-FORM

Version 10.1 Page 54 of 71

Manufacturer Brand Model Type Capacity

(kW/hr)

Consumed

Electrical

Power(W)

EER

(W/W)

Energy

Consumption

(kWh/mon)

KOMLOG KOMECO KOS 09FC 3LA FRIO 9,000 932 2.83 19.6

KOMLOG KOMECO KOS 09QC 3LA REVERSO 9,000 932 2.83 19.6

KOMLOG KOMECO BZS 09FC 3LA FRIO 9,000 932 2.83 19.6

KOMLOG KOMECO KOS 09FC 4LA FRIO 9,000 932 2.83 19.6

KOMLOG KOMECO BZS 09QC 3LA REVERSO 9,000 932 2.83 19.6

KOMLOG KOMECO KOS 09QC 4LA REVERSO 9,000 932 2.83 19.6

SPRINGER CARRIER COMFEE 38MMCA09F5 FRIO 9,000 933 2.83 19.6

SPRINGER CARRIER COMFEE 38MMCB09F5 FRIO 9,000 933 2.83 19.6

SPRINGER CARRIER COMFEE 38MMQA09F5 REVERSO 9,000 933 2.83 19.6

SPRINGER CARRIER COMFEE 38MMQB09F5 REVERSO 9,000 933 2.83 19.6

SPRINGER CARRIER MIDEA 38MTQA09M5 REVERSO 9,000 933 2.83 19.6

SPRINGER CARRIER MIDEA 38MTQB09M5 REVERSO 9,000 933 2.83 19.6

GREE GREE GWH07NA-D1NNB1E/O REVERSO 7,000 720 2.85 15.1

GREE GREE GJ9-22LM/B FRIO 9,000 920 2.87 19.3

GREE GREE GWC09MA-D1NNC3E/O FRIO 9,000 915 2.88 19.2

SPRINGER CARRIER ADMIRAL 38KCG09A5 FRIO 9,000 916 2.88 19.2

SPRINGER CARRIER COMFEE 38KCG09F5 FRIO 9,000 916 2.88 19.2

SPRINGER CARRIER COMFEE 38KCG09F5 FRIO 9,000 916 2.88 19.2

GREE GREE GJ7-22L/C FRIO 7,000 710 2.89 14.9

GREE GREE GJ7-22LM/D FRIO 7,000 705 2.91 14.8

GREE GREE GJ7-22R/E REVERSO 7,000 705 2.91 14.8

GREE GREE GJ7-12L/C FRIO 7,500 755 2.91 15.9

ELGIN ELGIN SHQE-9000-2 REVERSO 9,000 905 2.91 19.0

WHIRLPOOL CONSUL CCC07D FRIO 7,500 754 2.92 15.8

WHIRLPOOL CONSUL CCF07D FRIO 7,500 754 2.92 15.8

WHIRLPOOL CONSUL CCI07D FRIO 7,500 754 2.92 15.8

WHIRLPOOL CONSUL CCN07B

CCG07D FRIO 7,500 754 2.92 15.8

WHIRLPOOL CONSUL CCO07B REVERSO 7,500 754 2.92 15.8

WHIRLPOOL CONSUL CCJ07D REVERSO 7,500 754 2.92 15.8

WHIRLPOOL CONSUL CCM07D REVERSO 7,500 754 2.92 15.8

WHIRLPOOL CONSUL CCO07B/ CCH07D

REVERSO 7,500 754 2.92 15.8

GREE GREE GJC05BJ-A1MND1A FRIO 5,000 500 2.93 10.5

GREE GREE GJ5-12LM FRIO 5,500 550 2.93 11.6

GREE GREE GJ7-12L/D FRIO 7,000 700 2.93 14.7

GREE GREE GJ7-12LM/C FRIO 7,000 700 2.93 14.7

GREE GREE GJ7-22L/D FRIO 7,000 700 2.93 14.7

GREE GREE GJ7-22LM/C FRIO 7,000 700 2.93 14.7

GREE GREE GJC07BK-A1MND2 FRIO 7,000 700 2.93 14.7

GREE GREE GJC07BK-A1RND2 FRIO 7,000 700 2.93 14.7

GREE GREE GJC07BK-D1MND2 FRIO 7,000 700 2.93 14.7

GREE GREE GJC07BK-D1RND2 FRIO 7,000 700 2.93 14.7

GREE GREE GJ7-22RM REVERSO 7,200 720 2.93 15.1

ELECTROLUX ELECTROLUX EC07F/EE07F FRIO 7,500 750 2.93 15.8

ELECTROLUX ELECTROLUX EC07R REVERSO 7,500 750 2.93 15.8

GREE GREE GJ7-22L/H FRIO 7,500 750 2.93 15.8

ELGIN ELGIN SJFE-9000-2 FRIO 9,000 900 2.93 18.9

WHIRLPOOL CONSUL CCF07E FRIO 7,500 748 2.94 15.7

WHIRLPOOL CONSUL CCG07E FRIO 7,500 748 2.94 15.7

WHIRLPOOL CONSUL CCB07D/CCN07D FRIO 7,500 748 2.94 15.7

WHIRLPOOL CONSUL CCO07D REVERSO 7,500 748 2.94 15.7

WHIRLPOOL CONSUL CCS07D REVERSO 7,500 748 2.94 15.7

WHIRLPOOL CONSUL CCH07E REVERSO 7,500 748 2.94 15.7

SPRINGER CARRIER COMFEE 38KQG09F5 REVERSO 9,000 897 2.94 18.8

JAGUAR FONTAINE JAG75J FRIO 7,500 713 2.95 15.0

EL SHADDAI PIONEER KF-25W FRIO 9,000 882 2.96 18.5

ELGIN ELGIN HCFI09A2NA FRIO 9,000 890 2.96 18.7

ELGIN ELGIN SFFE-9.000-2 FRIO 9,000 890 2.96 18.7

ELGIN ELGIN SRFE-9000-2 FRIO 9,000 890 2.96 18.7

ELGIN ELGIN HCFE09A2CA FRIO 9,000 890 2.96 18.7

GREE GREE GWC07NA-D1NNB1E/O FRIO 7,000 690 2.97 14.5

ELGIN ELGIN SHFE-9000-2 FRIO 9,000 885 2.98 18.6

ELGIN ELGIN SUFE-7000-2 FRIO 7,000 685 2.99 14.4

CDM-PDD-FORM

Version 10.1 Page 55 of 71

Manufacturer Brand Model Type Capacity

(kW/hr)

Consumed

Electrical

Power(W)

EER

(W/W)

Energy

Consumption

(kWh/mon)

ELGIN ELGIN SUFE-7000-1 FRIO 7,000 685 2.99 14.4

ELGIN ELGIN SUQE-7000-2 REVERSO 7,000 685 2.99 14.4

ELGIN ELGIN HCFE09A1NA FRIO 9,000 880 3.00 18.5

ELGIN ELGIN SRQE-9000-2 REVERSO 9,000 880 3.00 18.5

ELGIN ELGIN HCFE09A1CA FRIO 9,000 880 3.00 18.5

GREE GREE GWH09MA-D1NNC3E/O REVERSO 9,000 880 3.00 18.5

GREE GREE GWHN07DAND1A3A/O REVERSO 7,000 682 3.01 14.3

SPRINGER CARRIER MIDEA 38MWCA07M5 FRIO 7,000 680 3.02 14.3

SPRINGER CARRIER MIDEA 38MWQA07M5 REVERSO 7,000 680 3.02 14.3

SPRINGER CARRIER SPRINGER 38KCB009515MS FRIO 9,000 874 3.02 18.4

SPRINGER CARRIER SPRINGER 38KQB009515MS REVERSO 9,000 874 3.02 18.4

SPRINGER CARRIER MIDEA 38KCG09M5 FRIO 9,000 869 3.03 18.2

KOMLOG KOMECO KOS 09FC 2LX FRIO 9,000 867 3.04 18.2

KOMLOG KOMECO KOS 09QC 2LX REVERSO 9,000 867 3.04 18.2

KOMLOG KOMECO KOS 09FC 2LX FRIO 9,000 867 3.04 18.2

KOMLOG KOMECO KOS 09QC 2LX REVERSO 9,000 867 3.04 18.2

KOMLOG KOMECO KOS 09FC 2LX FRIO 9,000 867 3.04 18.2

KOMLOG KOMECO KOS 09QC 2LX REVERSO 9,000 867 3.04 18.2

KOMLOG KOMECO KOS 09FC 2LX FRIO 9,000 867 3.04 18.2

KOMLOG KOMECO KOS 09QC 2LX REVERSO 9,000 867 3.04 18.2

GREE GREE GWCN09AAND1A1A/O FRIO 9,000 866 3.05 18.2

GREE GREE GJ7-22L/E FRIO 7,000 670 3.06 14.1

GREE GREE GJ7-22LM/E FRIO 7,000 670 3.06 14.1

GREE GREE GJ7-22RM/E REVERSO 7,000 670 3.06 14.1

GREE GREE GWCN07DAND1A3A/O FRIO 7,000 670 3.06 14.1

SPRINGER CARRIER ADMIRAL 38KCG07A5 FRIO 7,500 718 3.06 15.1

SPRINGER CARRIER COMFEE 38KCG07F5 FRIO 7,500 718 3.06 15.1

SPRINGER CARRIER COMFEE 38KCG07F5 FRIO 7,500 718 3.06 15.1

SKN FORD F-09C63F150L70C FRIO 9,000 859 3.07 18.0

GLOBAL TIVAH AW-09C62RK1(3) FRIO 9,000 880 3.08 18.5

GLOBAL TIVAH AW-09C62RK1(3) FRIO 9,000 880 3.08 18.5

GLOBAL TIVAH AW-09C62RK1(3) FRIO 9,000 880 3.08 18.5

GLOBAL TIVAH AW-09C62RK1(3) FRIO 9,000 880 3.08 18.5

ELGIN ELGIN SUFE-9000-1 FRIO 9,000 855 3.08 18.0

ELGIN ELGIN SUFE-9000-2 FRIO 9,000 855 3.08 18.0

ELGIN ELGIN SUQE-9000-2 REVERSO 9,000 850 3.10 17.9

SPRINGER CARRIER MIDEA 38KQG09M5 REVERSO 9,000 851 3.10 17.9

NEWTON & BRAZAO ARFREE ISA75J FRIO 7,500 713 3.12 15.0

EXTRA INFORMATICA VG EXT75J FRIO 7,500 718 3.14 15.1

GREE GREE GWHN09AAND1A1A/O REVERSO 9,000 840 3.14 17.6

SPRINGER SPRINGER QCA078BB FRIO 7,500 693 3.17 14.6

SPRINGER CARRIER ADMIRAL 38KQG07A5 REVERSO 7,500 691 3.18 14.5

SPRINGER CARRIER COMFEE 38KQG07F5 REVERSO 7,500 691 3.18 14.5

SPRINGER CARRIER COMFEE 38KQG07F5 REVERSO 7,500 691 3.18 14.5

SPRINGER CARRIER MIDEA 38MVCA09M5 FRIO 9,000 824 3.20 17.3

SPRINGER CARRIER MIDEA 38MVQA09M5 REVERSO 9,000 824 3.20 17.3

ELECTROLUX ELECTROLUX PE07F FRIO 7,000 639 3.21 13.4

ELECTROLUX ELECTROLUX PE07R REVERSO 7,000 639 3.21 13.4

SPRINGER CARRIER CARRIER 38KQA007515MC REVERSO 7,000 639 3.21 13.4

SPRINGER CARRIER MIDEA 38MLCA07M5 FRIO 7,000 639 3.21 13.4

SPRINGER CARRIER MIDEA 38MLQA07M5 REVERSO 7,000 639 3.21 13.4

WHIRLPOOL CONSUL CBY07B FRIO 7,000 638 3.21 13.4

WHIRLPOOL CONSUL CBZ07B REVERSO 7,000 638 3.21 13.4

WHIRLPOOL CONSUL CBY07C FRIO 7,000 638 3.21 13.4

WHIRLPOOL CONSUL CBZ07C REVERSO 7,000 638 3.21 13.4

SPRINGER CARRIER SPRINGER 38KQC007515MS REVERSO 7,500 685 3.21 14.4

ELECTROLUX ELECTROLUX HE09F FRIO 9,000 822 3.21 17.3

ELECTROLUX ELECTROLUX HE09R REVERSO 9,000 822 3.21 17.3

ELECTROLUX ELECTROLUX PE09F FRIO 9,000 822 3.21 17.3

ELECTROLUX ELECTROLUX PE09R REVERSO 9,000 822 3.21 17.3

SPRINGER CARRIER CARRIER 38KCA009515MC FRIO 9,000 822 3.21 17.3

SPRINGER CARRIER CARRIER 38KQA009515MC REVERSO 9,000 822 3.21 17.3

SPRINGER CARRIER SPRINGER 38KCE09S5 FRIO 9,000 822 3.21 17.3

CDM-PDD-FORM

Version 10.1 Page 56 of 71

Manufacturer Brand Model Type Capacity

(kW/hr)

Consumed

Electrical

Power(W)

EER

(W/W)

Energy

Consumption

(kWh/mon)

WHIRLPOOL BRASTEMP

BBZ09B

BBM09B BBM09B

REVERSO 9,000 822 3.21 17.3

WHIRLPOOL BRASTEMP BBY09B FRIO 9,000 822 3.21 17.3

WHIRLPOOL CONSUL CBY09B FRIO 9,000 821 3.21 17.2

WHIRLPOOL CONSUL CBZ09B REVERSO 9,000 821 3.21 17.2

WHIRLPOOL CONSUL CBY09C FRIO 9,000 821 3.21 17.2

WHIRLPOOL CONSUL CBZ09C REVERSO 9,000 821 3.21 17.2

SPRINGER CARRIER MIDEA 38MLCA09M5 FRIO 9,000 816 3.23 17.1

SPRINGER CARRIER MIDEA 38MLQA09M5 REVERSO 9,000 816 3.23 17.1

ELECTROLUX ELECTROLUX TE07F FRIO 7,000 633 3.24 13.3

ELECTROLUX ELECTROLUX TE07R REVERSO 7,000 633 3.24 13.3

ELECTROLUX ELECTROLUX VE07F FRIO 7,000 633 3.24 13.3

ELECTROLUX ELECTROLUX VE07R REVERSO 7,000 633 3.24 13.3

GREE GREE GWC07MA-D1NNA3C/O FRIO 7,000 634 3.24 13.3

GREE GREE GWH07MA-D1NNA3C/O REVERSO 7,000 634 3.24 13.3

GREE GREE GWH07MA-D3NNA5E/O REVERSO 7,000 633 3.24 13.3

GREE GREE GWC07NA-D3NNA5E/O FRIO 7,000 633 3.24 13.3

SPRINGER CARRIER CARRIER 38KCH07C5 FRIO 7,000 633 3.24 13.3

SPRINGER CARRIER CARRIER 38KQH07C5 REVERSO 7,000 633 3.24 13.3

WHIRLPOOL CONSUL CBH07A FRIO 7,000 633 3.24 13.3

WHIRLPOOL CONSUL CBX07A REVERSO 7,000 633 3.24 13.3

WHIRLPOOL CONSUL CBY07D FRIO 7,000 633 3.24 13.3

WHIRLPOOL CONSUL CBZ07D REVERSO 7,000 633 3.24 13.3

WHIRLPOOL CONSUL CBB07C FRIO 7,000 633 3.24 13.3

CENTER KENNEDY KENNEDY KEN75-J26 FRIO 7,500 673 3.24 14.1

SPRINGER CARRIER MIDEA 38KQJ07M5 REVERSO 7,500 678 3.24 14.2

SPRINGER CARRIER SPRINGER 38KCF07S5 FRIO 7,500 678 3.24 14.2

SPRINGER CARRIER SPRINGER 38KQF07S5 REVERSO 7,500 678 3.24 14.2

EL SHADDAI PIONEER KF-25W/X PN FRIO 9,000 809 3.24 17.0

ELECTROLUX ELECTROLUX TE09F FRIO 9,000 815 3.24 17.1

ELECTROLUX ELECTROLUX TE09R REVERSO 9,000 815 3.24 17.1

ELECTROLUX ELECTROLUX VE09F FRIO 9,000 815 3.24 17.1

ELECTROLUX ELECTROLUX VE09R REVERSO 9,000 815 3.24 17.1

ELGIN ELGIN HPFE09A2NA FRIO 9,000 814 3.24 17.1

ELGIN ELGIN HEQE09B2IA REVERSO 9,000 815 3.24 17.1

ELGIN ELGIN HPQE09A2NA REVERSO 9,000 814 3.24 17.1

EXTRA INFORMÁ TICA VG EXT-09-EXT FRIO 9,000 771 3.24 16.2

GREE GREE GWC09MA-D1NNA3C/O FRIO 9,000 815 3.24 17.1

GREE GREE GWH09MA-D1NNA3C/O REVERSO 9,000 815 3.24 17.1

GREE GREE GWC09MA-D3NNA5E/O FRIO 9,000 814 3.24 17.1

GREE GREE GWH09MA-D3NNA5E/O REVERSO 9,000 814 3.24 17.1

GREE GREE GWC09MA-D1NNA8E/O FRIO 9,000 814 3.24 17.1

GREE GREE GWH09MA-D1NNA8C/O REVERSO 9,000 814 3.24 17.1

GRUPO NORDESTE ELBRUS DGF09EXT FRIO 9,000 771 3.24 16.2

JADON EXPORT

IMPORT. COM. IMP. AUSTIN KFR-25W REVERSO 9,000 811 3.24 17.0

JAGUAR FONTAINE FON09EXT FRIO 9,000 755 3.24 15.9

KOMLOG KOMECO KOS 09FC 2HX FRIO 9,000 815 3.24 17.1

KOMLOG KOMECO KOS 09QC 2HX REVERSO 9,000 815 3.24 17.1

KOMLOG KOMECO KOHT 09FC 220 G1 FRIO 9,000 814 3.24 17.1

KOMLOG KOMECO KOHT 09QC 220 G1 REVERSO 9,000 814 3.24 17.1

KOMLOG KOMECO KOHB 09FC G1 FRIO 9,000 815 3.24 17.1

KOMLOG KOMECO KOHB 09QC G1 REVERSO 9,000 815 3.24 17.1

KOMLOG KOMECO KOH 09FC 1HA FRIO 9,000 814 3.24 17.1

KOMLOG KOMECO KOH 09FC 1HA FRIO 9,000 814 3.24 17.1

KOMLOG KOMECO KOHV 09FC 1HX FRIO 9,000 815 3.24 17.1

KOMLOG KOMECO KOHV 09QC 1HX REVERSO 9,000 815 3.24 17.1

KOMLOG KOMECO KOH 09QC 1HA REVERSO 9,000 814 3.24 17.1

KOMLOG KOMECO KOH 09QC 1HA REVERSO 9,000 814 3.24 17.1

KOMLOG KOMECO KOS 09QC 2HX REVERSO 9,000 815 3.24 17.1

KOMLOG KOMECO KOH 09QC 1HX REVERSO 9,000 815 3.24 17.1

KOMLOG KOMECO KOHI 09FC 1HX FRIO 9,000 814 3.24 17.1

SAMSUNG SAMSUNG AR09KCSUBWQXAZ FRIO 9,000 815 3.24 17.1

SAMSUNG SAMSUNG AR09KCFUBWQXAZ FRIO 9,000 815 3.24 17.1

CDM-PDD-FORM

Version 10.1 Page 57 of 71

Manufacturer Brand Model Type Capacity

(kW/hr)

Consumed

Electrical

Power(W)

EER

(W/W)

Energy

Consumption

(kWh/mon)

SPRINGER CARRIER CARRIER 38KCH09C5 FRIO 9,000 814 3.24 17.1

SPRINGER CARRIER CARRIER 38KQH09C5 REVERSO 9,000 814 3.24 17.1

SPRINGER CARRIER MIDEA 38MLCB09M5 FRIO 9,000 814 3.24 17.1

SPRINGER CARRIER MIDEA 38KCJ09M5 FRIO 9,000 814 3.24 17.1

SPRINGER CARRIER MIDEA 38KQJ09M5 REVERSO 9,000 814 3.24 17.1

SPRINGER CARRIER MIDEA 38KQN09M5 REVERSO 9,000 814 3.24 17.1

SPRINGER CARRIER MIDEA 38KCN09M5 FRIO 9,000 814 3.24 17.1

SPRINGER CARRIER MIDEA 38KCN09M5 FRIO 9,000 814 3.24 17.1

SPRINGER CARRIER SPRINGER 38KCF09S5 FRIO 9,000 814 3.24 17.1

SPRINGER CARRIER SPRINGER 38KQF09S5 REVERSO 9,000 814 3.24 17.1

SPRINGER CARRIER SPRINGER 38KQO09S5 REVERSO 9,000 814 3.24 17.1

SPRINGER CARRIER SPRINGER 38KCO09S5 FRIO 9,000 814 3.24 17.1

SPRINGER CARRIER SPRINGER 38KCX09S5 FRIO 9,000 814 3.24 17.1

SPRINGER CARRIER SPRINGER 38KQX09S5 REVERSO 9,000 814 3.24 17.1

VENTISOL AGRATTO CCS9FERA-02 REVERSO 9,000 766 3.24 16.1

VENTISOL AGRATTO ACS9QFER4-02 REVERSO 9,000 765 3.24 16.1

VENTISOL AGRATTO ECS9FIR4-02 REVERSO 9,000 765 3.24 16.1

VENTISOL AGRATTO CCS9QFER4-02 REVERSO 9,000 765 3.24 16.1

WHIRLPOOL CONSUL CBH09A FRIO 9,000 814 3.24 17.1

WHIRLPOOL CONSUL CBX09A REVERSO 9,000 814 3.24 17.1

WHIRLPOOL CONSUL CBY09D FRIO 9,000 814 3.24 17.1

WHIRLPOOL CONSUL CBZ09D REVERSO 9,000 814 3.24 17.1

WHIRLPOOL CONSUL CBB09C FRIO 9,000 814 3.24 17.1

WHIRLPOOL CONSUL CBO09B FRIO 9,000 814 3.24 17.1

WHIRLPOOL CONSUL CBQ09B REVERSO 9,000 814 3.24 17.1

WHIRLPOOL CONSUL CBD09C REVERSO 9,000 814 3.24 17.1

KOMLOG KOMECO KOS 07QC 2HX REVERSO 7,000 632 3.25 13.3

A B GOMES REFRIG UNIFRIO UNI09EXT FRIO 9,000 810 3.25 17.0

COOL EMPREENDIMENTOS

COOL KEMP09EXT FRIO 9,000 803 3.25 16.9

EL SHADDAI PIONEER KF-25W/B PN FRIO 9,000 810 3.25 17.0

SAMSUNG SAMSUNG AR09KCFUBWQXAZ FRIO 9,000 812 3.25 17.1

VENTISOL AGRATTO ACS9FER4-02 FRIO 9,000 808 3.25 17.0

SPRINGER CARRIER MIDEA 38KCG07M5 FRIO 7,500 674 3.26 14.2

SPRINGER CARRIER MIDEA 38KQG07M5 REVERSO 7,500 674 3.26 14.2

SPRINGER CARRIER SPRINGER 38KQE07S5 REVERSO 7,500 675 3.26 14.2

ELGIN ELGIN HEFE09B2IA FRIO 9,000 810 3.26 17.0

ELGIN ELGIN SSFEA-9000-2 FRIO 9,000 810 3.26 17.0

GREE GREE GWCN09JAND1A1A/O FRIO 9,000 810 3.26 17.0

GREE GREE GWHN09JAND1A1A/O REVERSO 9,000 810 3.26 17.0

VENTISOL AGRATTO ECS9FER4-02 FRIO 9,000 807 3.26 16.9

ELGIN ELGIN HLQE09B2NA REVERSO 9,000 807 3.27 16.9

SPRINGER SPRINGER QQAO75BB/RB REVERSO 7,500 670 3.28 14.1

SPRINGER SPRINGER QCA075BB FRiO 7,500 670 3.28 14.1

Philco Eletrônicos S.A Philco PH9000TQFM5 Reverso 9,000 819 3.28 17.2

Philco Eletrônicos S.A Philco PH9000TFM5 Frio 9,000 819 3.28 17.2

Philco Eletrônicos S.A Britânia BAC9000TQFM5 Reverso 9,000 819 3.28 17.2

Philco Eletrônicos S.A Britânia BAC9000TFM5 Frio 9,000 819 3.28 17.2

GREE GREE GWH07MA-D1NNA8A/O REVERSO 7,000 678 3.29 14.2

AMAZONAS

IMPORTADOS AMAZONAS AMZ09EXT FRIO 9,000 762 3.29 16.0

JAGUAR FONTAINE UTI09CONDF FRIO 9,000 801 3.29 16.8

Philco Eletrônicos S.A Philco PH9000QFM2 Reverso 9,000 779 3.29 16.4

Philco Eletrônicos S.A Philco PH9000FM5 Frio 9,000 779 3.29 16.4

Philco Eletrônicos S.A Philco PH9000QFM5 Reverso 9,000 779 3.29 16.4

Philco Eletrônicos S.A Britânia BR9000FM5 Frio 9,000 779 3.29 16.4

Philco Eletrônicos S.A Britânia BR9000QFM5 Reverso 9,000 779 3.29 16.4

TECHFRIO TECHFRIO TECH09EXT FRIO 9,000 825 3.29 17.3

GREE GREE GWC07NA-D1NNA8A/O FRIO 7,000 622 3.30 13.1

ELGIN ELGIN SSQEA-9000-2 REVERSO 9,000 800 3.30 16.8

ELGIN ELGIN HLFE09B2NA FRIO 9,000 800 3.30 16.8

SPRINGER CARRIER MIDEA 38KCJ07M5 FRIO 7,500 664 3.31 13.9

SPRINGER CARRIER SPRINGER 38KCE07S5 FRIO 7,500 665 3.31 14.0

Philco Eletrônicos S.A Philco PH9000FM Frio 9,000 794 3.32 16.7

CDM-PDD-FORM

Version 10.1 Page 58 of 71

Manufacturer Brand Model Type Capacity

(kW/hr)

Consumed

Electrical

Power(W)

EER

(W/W)

Energy

Consumption

(kWh/mon)

Philco Eletrônicos S.A Philco PH9000QFM Reverso 9,000 794 3.32 16.7

Philco Eletrônicos S.A Philco PH9000FM3 Frio 9,000 794 3.32 16.7

Philco Eletrônicos S.A Philco PH9000QFM3 Reverso 9,000 794 3.32 16.7

ELGIN ELGIN SUFEA-9000-2 FRIO 9,000 790 3.34 16.6

ELGIN ELGIN SUQEA-9000-2 REVERSO 9,000 790 3.34 16.6

ELGIN ELGIN SUFEA-9000-2 FRIO 9,000 790 3.34 16.6

ELGIN ELGIN SUQEA-9000-2 REVERSO 9,000 790 3.34 16.6

ELGIN ELGIN HWQE09B2NA REVERSO 9,000 782 3.37 16.4

Philco Eletrônicos S.A Philco PH9000FM2 Frio 9,000 779 3.38 16.4

ELGIN ELGIN HWFE09B2NA FRIO 9,000 777 3.39 16.3

Philco Eletrônicos S.A Philco PH9000FM4 Frio 9,000 711 3.49 14.9

Philco Eletrônicos S.A Philco PH9000QFM4 Reverso 9,000 711 3.49 14.9

JAGUAR FONTAINE JAG09EXT FRIO 9,000 919 3.49 19.3

ELGIN ELGIN SJFE-12000-2 FRIO 12,000 1,300 2.70 27.3

SPRINGER SPRINGER MCD125RB FRIO 12,000 1,265 2.78 26.6

SPRINGER SPRINGER MCC128BB FRIO 12,000 1,265 2.78 26.6

ELGIN ELGIN SZFE-12000-2 FRIO 12,000 1,255 2.80 26.4

SPRINGER SPRINGER MQC125BB REVERSO 12,000 1,250 2.81 26.3

EL SHADDAI PIONEER KF-32W FRIO 12,000 1,236 2.81 26.0

GREE GREE GWHN12DBND1A3A/O REVERSO 12,000 1,253 2.81 26.3

SPRINGER CARRIER SPRINGER 38KQB012515MS REVERSO 12,000 1,250 2.81 26.3

SPRINGER CARRIER SPRINGER 38KQC012515MS REVERSO 12,000 1,250 2.81 26.3

GREE GREE GWC12MB-D1NNC3E/O FRIO 12,000 1,249 2.82 26.2

KOMLOG KOMECO KOS 12FC 2LX FRIO 12,000 1,246 2.82 26.2

KOMLOG KOMECO KOS 12QC 2LX REVERSO 12,000 1,246 2.82 26.2

KOMLOG KOMECO KOS 12FC 2LX FRIO 12,000 1,246 2.82 26.2

KOMLOG KOMECO KOS 12QC 2LX REVERSO 12,000 1,246 2.82 26.2

KOMLOG KOMECO KOS 12FC 4LA FRIO 12,000 1,246 2.82 26.2

KOMLOG KOMECO KOS 12FC 2LX FRIO 12,000 1,246 2.82 26.2

KOMLOG KOMECO KOS 12QC 2LX REVERSO 12,000 1,246 2.82 26.2

KOMLOG KOMECO KOS 12FC 2LX FRIO 12,000 1,246 2.82 26.2

KOMLOG KOMECO KOS 12QC 2LX REVERSO 12,000 1,246 2.82 26.2

KOMLOG KOMECO KOS 12FC 3LA FRIO 12,000 1,242 2.83 26.1

KOMLOG KOMECO KOS 12QC 3LA REVERSO 12,000 1,242 2.83 26.1

KOMLOG KOMECO KOS 12FC 3LA FRIO 12,000 1,242 2.83 26.1

KOMLOG KOMECO KOS 12FC 4LA FRIO 12,000 1,242 2.83 26.1

KOMLOG KOMECO KOS 12QC 3LA REVERSO 12,000 1,242 2.83 26.1

KOMLOG KOMECO KOS 12QC 4LA REVERSO 12,000 1,242 2.83 26.1

KOMLOG KOMECO KOS 12FC 3LA FRIO 12,000 1,242 2.83 26.1

KOMLOG KOMECO KOS 12QC 3LA REVERSO 12,000 1,242 2.83 26.1

KOMLOG KOMECO KOS 12QC 4LA REVERSO 12,000 1,242 2.83 26.1

KOMLOG KOMECO BZS 12FC 3LA FRIO 12,000 1,242 2.83 26.1

KOMLOG KOMECO BZS 12QC 3LA REVERSO 12,000 1,242 2.83 26.1

SPRINGER CARRIER MIDEA 38KQG12M5 REVERSO 12,000 1,243 2.83 26.1

SPRINGER CARRIER ADMIRAL 38KQG12A5 REVERSO 12,000 1,234 2.85 25.9

SPRINGER CARRIER COMFEE 38KQG12F5 REVERSO 12,000 1,234 2.85 25.9

SPRINGER CARRIER COMFEE 38KQG12F5 REVERSO 12,000 1,234 2.85 25.9

SPRINGER CARRIER MIDEA 38KCG12M5 FRIO 12,000 1,234 2.85 25.9

GREE GREE GJ12-22L/A FRIO 12,000 1,230 2.86 25.8

GREE GREE GJ12-22LM/A FRIO 12,000 1,230 2.86 25.8

GREE GREE GWCN12DBND1A3A/O FRIO 12,000 1,230 2.86 25.8

GREE GREE GJ10-12L/A FRIO 10,000 1,020 2.87 21.4

GREE GREE GJ10-12LM/A FRIO 10,000 1,020 2.87 21.4

GREE GREE GWH12MB-D1NNC3E/O REVERSO 12,000 1,220 2.88 25.6

SPRINGER CARRIER ADMIRAL 38KCG12A5 FRIO 12,000 1,221 2.88 25.6

SPRINGER CARRIER COMFEE 38KCG12F5 FRIO 12,000 1,221 2.88 25.6

SPRINGER CARRIER COMFEE 38MMCB12F5 FRIO 12,000 1,217 2.89 25.6

SPRINGER CARRIER COMFEE 38MMQA12F5 REVERSO 12,000 1,217 2.89 25.6

SPRINGER CARRIER COMFEE 38MMQB12F5 REVERSO 12,000 1,217 2.89 25.6

SPRINGER CARRIER MIDEA 38MTCA12M5 FRIO 12,000 1,217 2.89 25.6

SPRINGER CARRIER MIDEA 38MTQB12M5 REVERSO 12,000 1,217 2.89 25.6

ELGIN ELGIN SHQE-12000-2 REVERSO 12,000 1,200 2.93 25.2

ELGIN ELGIN SJFE - 12.000-2 FRIO 12,000 1,200 2.93 25.2

ELGIN ELGIN SJFEX-12000-2 FRIO 12,000 1,200 2.93 25.2

CDM-PDD-FORM

Version 10.1 Page 59 of 71

Manufacturer Brand Model Type Capacity

(kW/hr)

Consumed

Electrical

Power(W)

EER

(W/W)

Energy

Consumption

(kWh/mon)

GREE GREE GWCN12DBND1A3B/O FRIO 12,000 1,200 2.93 25.2

ELGIN ELGIN SRFE-12000-2 FRIO 12,000 1,190 2.95 25.0

ELGIN ELGIN SRQE-12000-2 REVERSO 12,000 1,190 2.95 25.0

ELGIN ELGIN SFFE-12.000-2 FRIO 12,000 1,185 2.97 24.9

GREE GREE GWCN12ABND1A1A/O FRIO 12,000 1,167 3.01 24.5

GREE GREE GWHN12ABND1A1A/O REVERSO 12,000 1,167 3.01 24.5

SPRINGER CARRIER CARRIER 38KCA012515MC FRIO 12,000 1,168 3.01 24.5

GREE GREE GJ10-12LM/B

GJ10-12L/B FRIO 10,000 970 3.02 20.4

GREE GREE GJ10-22LM/B FRIO 10,000 970 3.02 20.4

GREE GREE GJ10-22R/A REVERSO 10,000 970 3.02 20.4

GREE GREE GJ10-22RM/A REVERSO 10,000 970 3.02 20.4

GREE GREE GJE10AB-D1MNC1A REVERSO 10,000 970 3.02 20.4

GREE GREE GJE10AB-D1RNC2A REVERSO 10,000 970 3.02 20.4

WHIRLPOOL CONSUL

CCB10B

CCN10B

CCG10D

FRIO 10,000 971 3.02 20.4

WHIRLPOOL CONSUL

CCO10B

CCS10B

CCH10B

REVERSO 10,000 971 3.02 20.4

GREE GREE GJ10-22L/A FRIO 10,500 1,018 3.02 21.4

SPRINGER SPRINGER MCC125BB FRIO 12,000 1,165 3.02 24.5

SPRINGER SPRINGER MCD128RB FRIO 12,000 1,165 3.02 24.5

ELECTROLUX ELECTROLUX EE10F/EM10F FRIO 10,000 967 3.03 20.3

ELECTROLUX ELECTROLUX EM10R/EAM10R REVERSO 10,000 967 3.03 20.3

GREE GREE GJC10BL-A1MND2A FRIO 10,500 1,015 3.03 21.3

GREE GREE GJC10BL-A1RND2A FRIO 10,500 1,015 3.03 21.3

GREE GREE GJC10BL-D1MND2A FRIO 10,500 1,015 3.03 21.3

GREE GREE GJC10BL-D1RND2A FRIO 10,500 1,015 3.03 21.3

GREE GREE GJC12BL-D1MND2A FRIO 12,000 1,160 3.03 24.4

SPRINGER CARRIER CARRIER 38KQH12C5 REVERSO 12,000 1,161 3.03 24.4

EXTRA INFORMÁ TICA VG EXT10J FRIO 10,000 925 3.04 19.4

JAGUAR FONTAINE JAG10J FRIO 10,000 925 3.04 19.4

WHIRLPOOL CONSUL CCS10D REVERSO 10,000 964 3.04 20.2

WHIRLPOOL CONSUL CCO10D REVERSO 10,000 964 3.04 20.2

WHIRLPOOL CONSUL CCH10E REVERSO 10,000 964 3.04 20.2

WHIRLPOOL CONSUL CCG10E FRIO 10,000 964 3.04 20.2

WHIRLPOOL CONSUL CCB10D CCN10D FRIO 10,000 964 3.04 20.2

WHIRLPOOL CONSUL CCI12E FRIO 12,000 1,157 3.04 24.3

WHIRLPOOL CONSUL CCY12E REVERSO 12,000 1,157 3.04 24.3

EXTRA INFORMÁ TICA VG EXT12J FRIO 12,000 1,196 3.06 25.1

JAGUAR FONTAINE JAG12J FRIO 12,000 1,196 3.06 25.1

ELGIN ELGIN SUFE-12000-2 FRIO 12,000 1,150 3.06 24.2

WHIRLPOOL CONSUL CCM12D/CCZ12D REVERSO 12,000 1,140 3.08 23.9

ELGIN ELGIN SHFE-12000-2 FRIO 12,000 1,140 3.08 23.9

WHIRLPOOL CONSUL CCI12D/CCY12D FRIO 12,000 1,125 3.13 23.6

ELGIN ELGIN SUQE-12000-2 REVERSO 12,000 1,120 3.14 23.5

SPRINGER CARRIER MIDEA 38MVCA12M5 FRIO 12,000 1,118 3.14 23.5

SPRINGER CARRIER MIDEA 38MVQA12M5 REVERSO 12,000 1,118 3.14 23.5

ELECTROLUX ELECTROLUX HE12F FRIO 12,000 1,096 3.21 23.0

ELECTROLUX ELECTROLUX HE12R REVERSO 12,000 1,096 3.21 23.0

ELECTROLUX ELECTROLUX PE12F FRIO 12,000 1,096 3.21 23.0

ELECTROLUX ELECTROLUX PE12R REVERSO 12,000 1,096 3.21 23.0

GREE GREE GWHN12JBND1A1A/O REVERSO 12,000 1,097 3.21 23.0

SPRINGER CARRIER SPRINGER 38KCE12S5 FRIO 12,000 1,095 3.21 23.0

SPRINGER CARRIER SPRINGER 38KCC012515MS FRIO 12,000 1,095 3.21 23.0

WHIRLPOOL BRASTEMP BBZ12B/BBM12B REVERSO 12,000 1,097 3.21 23.0

WHIRLPOOL BRASTEMP BBY12B FRIO 12,000 1,097 3.21 23.0

WHIRLPOOL CONSUL CBY12B FRIO 12,000 1,096 3.21 23.0

WHIRLPOOL CONSUL CBZ12B REVERSO 12,000 1,096 3.21 23.0

WHIRLPOOL CONSUL CBY12C FRIO 12,000 1,096 3.21 23.0

WHIRLPOOL CONSUL CBZ12C REVERSO 12,000 1,096 3.21 23.0

KOMLOG KOMECO KOHB 12FC G1 FRIO 12,000 1,092 3.22 22.9

KOMLOG KOMECO KOHB 12QC G1 REVERSO 12,000 1,092 3.22 22.9

SPRINGER CARRIER MIDEA 38MLQA12M5 REVERSO 12,000 1,092 3.22 22.9

CDM-PDD-FORM

Version 10.1 Page 60 of 71

Manufacturer Brand Model Type Capacity

(kW/hr)

Consumed

Electrical

Power(W)

EER

(W/W)

Energy

Consumption

(kWh/mon)

GREE GREE GWCN12JBND1A1A/O FRIO 12,000 1,090 3.23 22.9

A B GOMES REFRIG UNIFRIO UNI12EXT FRIO 12,000 1,071 3.24 22.5

COOL

EMPREENDIMENTOS COOL KEMP12EXT FRIO 12,000 1,071 3.24 22.5

EL SHADDAI PIONEER KF-35W/B PN FRIO 12,000 1,078 3.24 22.6

ELECTROLUX ELECTROLUX TE12F FRIO 12,000 1,086 3.24 22.8

ELECTROLUX ELECTROLUX TE12R REVERSO 12,000 1,086 3.24 22.8

ELGIN ELGIN HPFE12A2NA FRIO 12,000 1,086 3.24 22.8

ELGIN ELGIN HEQE12B2IA REVERSO 12,000 1,085 3.24 22.8

ELGIN ELGIN HPQE12A2NA REVERSO 12,000 1,086 3.24 22.8

ELGIN ELGIN SUFEA-12000-2 FRIO 12,000 1,085 3.24 22.8

ELGIN ELGIN SUQEA-12000-2 REVERSO 12,000 1,085 3.24 22.8

ELGIN ELGIN SUFEA-12000-2 FRIO 12,000 1,085 3.24 22.8

ELGIN ELGIN SUQEA-12000-2 REVERSO 12,000 1,085 3.24 22.8

ELGIN ELGIN HLFE12B2NA FRIO 12,000 1,086 3.24 22.8

GREE GREE GWC12MB-D3NNA5E/O FRIO 12,000 1,085 3.24 22.8

GREE GREE GWH12MB-D3NNA5E/O REVERSO 12,000 1,085 3.24 22.8

GREE GREE GWC12MB-D1NNA8F/O FRIO 12,000 1,085 3.24 22.8

GREE GREE GWH12MB-D1NNA8F/O REVERSO 12,000 1,085 3.24 22.8

JADON EXPORT

IMPORT. COM. IMP. AUSTIN KFR-32W REVERSO 12,000 1,075 3.24 22.6

JAGUAR FONTAINE FON12EXT FRIO 12,000 1,009 3.24 21.2

KOMLOG KOMECO KOS 12FC 2HX FRIO 12,000 1,086 3.24 22.8

KOMLOG KOMECO KOS 12QC 2HX REVERSO 12,000 1,086 3.24 22.8

KOMLOG KOMECO KOHT 12FC 220 G1 FRIO 12,000 1,084 3.24 22.8

KOMLOG KOMECO KOHT 12QC 220 G1 REVERSO 12,000 1,084 3.24 22.8

KOMLOG KOMECO KOH 12FC 1HA FRIO 12,000 1,086 3.24 22.8

KOMLOG KOMECO KOH 12FC 1HA FRIO 12,000 1,086 3.24 22.8

KOMLOG KOMECO KOHV 12FC 1HX FRIO 12,000 1,086 3.24 22.8

KOMLOG KOMECO KOHV 12QC 1HX REVERSO 12,000 1,086 3.24 22.8

KOMLOG KOMECO KOH 12QC 1HA REVERSO 12,000 1,086 3.24 22.8

KOMLOG KOMECO KOH 12QC 1HA REVERSO 12,000 1,086 3.24 22.8

KOMLOG KOMECO KOS 12QC 2HX REVERSO 12,000 1,086 3.24 22.8

KOMLOG KOMECO KOH 12QC 1HX REVERSO 12,000 1,086 3.24 22.8

KOMLOG KOMECO KOHI 12FC 1HX FRIO 12,000 1,086 3.24 22.8

SPRINGER CARRIER CARRIER 38KCM12C5 FRIO 12,000 1,085 3.24 22.8

SPRINGER CARRIER MIDEA 38KQN12M5 REVERSO 12,000 1,085 3.24 22.8

SPRINGER CARRIER MIDEA 38KCN12M5 FRIO 12,000 1,085 3.24 22.8

SPRINGER CARRIER MIDEA 38KCN12M5 FRIO 12,000 1,085 3.24 22.8

SPRINGER CARRIER SPRINGER 38KCF12S5 FRIO 12,000 1,085 3.24 22.8

SPRINGER CARRIER SPRINGER 38KQO12S5 REVERSO 12,000 1,085 3.24 22.8

SPRINGER CARRIER SPRINGER 38KCK12C5 FRIO 12,000 1,085 3.24 22.8

SPRINGER CARRIER SPRINGER 38KCO12S5 FRIO 12,000 1,085 3.24 22.8

SPRINGER CARRIER SPRINGER 38KCX12S5 FRIO 12,000 1,085 3.24 22.8

SPRINGER CARRIER SPRINGER 38KQX12S5 REVERSO 12,000 1,085 3.24 22.8

WHIRLPOOL CONSUL CBH12A FRIO 12,000 1,085 3.24 22.8

WHIRLPOOL CONSUL CBX12A REVERSO 12,000 1,085 3.24 22.8

WHIRLPOOL CONSUL CBY12D FRIO 12,000 1,085 3.24 22.8

WHIRLPOOL CONSUL CBZ12D REVERSO 12,000 1,085 3.24 22.8

WHIRLPOOL CONSUL CBB12C FRIO 12,000 1,085 3.24 22.8

WHIRLPOOL CONSUL CBO12B FRIO 12,000 1,085 3.24 22.8

WHIRLPOOL CONSUL CBQ12B REVERSO 12,000 1,085 3.24 22.8

WHIRLPOOL CONSUL CBD12C REVERSO 12,000 1,085 3.24 22.8

GREE GREE GWC12MB-D1NNA3C/O FRIO 13,000 1,175 3.24 24.7

GREE GREE GWH12MB-D1NNA3C/O REVERSO 13,000 1,177 3.24 24.7

EL SHADDAI PIONEER KF-32W/X PN FRIO 12,000 1,077 3.25 22.6

EXTRA INFORMÁ TICA VG EXT-12-EXT FRIO 12,000 1,064 3.25 22.3

GRUPO NORDESTE ELBRUS DGF12EXT FRIO 12,000 1,064 3.25 22.3

Philco Eletrônicos S.A Philco PH12000FM2 Frio 12,000 1,068 3.26 22.4

Philco Eletrônicos S.A Philco PH12000QFM2 Reverso 12,000 1,068 3.26 22.4

Philco Eletrônicos S.A Philco PH12000FM5 Frio 12,000 1,068 3.26 22.4

Philco Eletrônicos S.A Philco PH12000QFM5 Reverso 12,000 1,068 3.26 22.4

Philco Eletrônicos S.A Britânia BR12000QFM5 Reverso 12,000 1,068 3.26 22.4

Philco Eletrônicos S.A Britânia BR12000FM5 Frio 12,000 1,068 3.26 22.4

CDM-PDD-FORM

Version 10.1 Page 61 of 71

Manufacturer Brand Model Type Capacity

(kW/hr)

Consumed

Electrical

Power(W)

EER

(W/W)

Energy

Consumption

(kWh/mon)

ELGIN ELGIN HEFE12B2IA FRIO 12,000 1,075 3.27 22.6

SAMSUNG SAMSUNG AR12KPFUAWQXAZ REVERSO 12,000 1,086 3.27 22.8

SAMSUNG SAMSUNG AR12KCFUAWQXAZ FRIO 12,000 1,075 3.27 22.6

SAMSUNG SAMSUNG AR12HPSUAWQXAZ REVERSO 12,000 1,075 3.27 22.6

SAMSUNG SAMSUNG AR12KCSUAWQXAZ FRIO 12,000 1,075 3.27 22.6

SAMSUNG SAMSUNG AR12KCFUAWQXAZ FRIO 12,000 1,075 3.27 22.6

SPRINGER CARRIER MIDEA 38MLCB12M5 FRIO 12,000 1,076 3.27 22.6

AMAZONAS

IMPORTADOS AMAZONAS AMZ12EXT FRIO 12,000 1,014 3.28 21.3

Philco Eletrônicos S.A Philco PH12000FM Frio 12,000 1,042 3.28 21.9

Philco Eletrônicos S.A Philco PH12000QFM Reverso 12,000 1,042 3.28 21.9

Philco Eletrônicos S.A Philco PH12000FM3 Frio 12,000 1,042 3.28 21.9

Philco Eletrônicos S.A Philco PH12000QFM3 Reverso 12,000 1,042 3.28 21.9

ELGIN ELGIN HWFE12B2NA FRIO 12,000 1,067 3.30 22.4

ELGIN ELGIN HLQE12B2NA REVERSO 12,000 1,067 3.30 22.4

SKN FORD F-12C63R130D70C FRIO 12,000 1,066 3.30 22.4

SPRINGER CARRIER MIDEA 38KQJ12M5 REVERSO 12,000 1,066 3.30 22.4

SPRINGER CARRIER SPRINGER 38KQK12C5 REVERSO 12,000 1,066 3.30 22.4

ELGIN ELGIN HWQE12B2NA REVERSO 12,000 1,058 3.32 22.2

SPRINGER CARRIER MIDEA 38KCJ12M5 FRIO 12,000 1,059 3.32 22.2

VENTISOL AGRATTO ACS12FER4-02 FRIO 12,000 1,125 3.34 23.6

VENTISOL AGRATTO ECS12FER4-02 FRIO 12,000 1,125 3.34 23.6

VENTISOL AGRATTO CCS12FERA-02 FRIO 12,000 1,125 3.34 23.6

Philco Eletrônicos S.A Philco PH12000TQFM5 Reverso 12,000 1,029 3.36 21.6

Philco Eletrônicos S.A Philco PH12000TFM5 Frio 12,000 1,029 3.36 21.6

Philco Eletrônicos S.A Philco PAC12000TFM5B Frio 12,000 1,029 3.36 21.6

Philco Eletrônicos S.A Philco PAC12000TQFM5B Reverso 12,000 1,029 3.36 21.6

ELGIN ELGIN SSQEA-12000-2 REVERSO 12,000 1,040 3.38 21.8

JAGUAR FONTAINE UTI12CONDF FRIO 12,000 1,040 3.38 21.8

ELGIN ELGIN SSFEA-12000-2 FRIO 12,000 1,020 3.45 21.4

VENTISOL AGRATTO ACS12QFER4-02 REVERSO 12,000 1,010 3.54 21.2

VENTISOL AGRATTO ECS12FIR4-02 REVERSO 12,000 1,010 3.54 21.2

VENTISOL AGRATTO CCS12QFERA-02 REVERSO 12,000 1,010 3.54 21.2

JAGUAR FONTAINE JAG12EXT FRIO 12,000 1,198 3.54 25.2

WHIRLPOOL CONSUL CCM18D REVERSO 17,500 2,080 2.47 43.7

EL SHADDAI PIONEER KF-51W FRIO 18,000 1,979 2.60 41.6

ELGIN ELGIN SZFE-18000-2 FRIO 18,000 1,980 2.66 41.6

SPRINGER CARRIER COMFEE 38MMCA18F5 FRIO 18,000 1,954 2.70 41.0

SPRINGER CARRIER COMFEE 38MMCB18F5 FRIO 18,000 1,954 2.70 41.0

SPRINGER CARRIER COMFEE 38MMQA18F5 REVERSO 18,000 1,954 2.70 41.0

SPRINGER CARRIER COMFEE 38MMQB18F5 REVERSO 18,000 1,954 2.70 41.0

SPRINGER CARRIER MIDEA 38MTCB18M5 FRIO 18,000 1,954 2.70 41.0

SPRINGER CARRIER MIDEA 38MTQB18M5 REVERSO 18,000 1,954 2.70 41.0

GREE GREE GJ18-22LM/B FRIO 18,000 1,919 2.75 40.3

ELGIN ELGIN SHQE-18000-2 REVERSO 18,000 1,890 2.79 39.7

GREE GREE GWC18MC-D1NNC3E/O FRIO 18,000 1,870 2.82 39.3

GREE GREE GWH18MC-D1NNC3E/O REVERSO 18,000 1,870 2.82 39.3

KOMLOG KOMECO KOS 18FC 2LX FRIO 18,000 1,870 2.82 39.3

KOMLOG KOMECO KOS 18QC 2LX REVERSO 18,000 1,870 2.82 39.3

KOMLOG KOMECO KOS 18FC 2LX FRIO 18,000 1,870 2.82 39.3

KOMLOG KOMECO KOS 18QC 2LX REVERSO 18,000 1,870 2.82 39.3

KOMLOG KOMECO KOS 18FC 2LX FRIO 18,000 1,870 2.82 39.3

KOMLOG KOMECO KOS 18QC 2LX REVERSO 18,000 1,870 2.82 39.3

KOMLOG KOMECO KOS 18FC 2LX FRIO 18,000 1,870 2.82 39.3

KOMLOG KOMECO KOS 18QC 2LX REVERSO 18,000 1,870 2.82 39.3

KOMLOG KOMECO KOHB 18FC G1 FRIO 18,000 1,873 2.82 39.3

KOMLOG KOMECO KOHB 18QC G1 REVERSO 18,000 1,873 2.82 39.3

KOMLOG KOMECO KOS 18FC 3LA FRIO 18,000 1,864 2.83 39.1

KOMLOG KOMECO KOS 18QC 3LA REVERSO 18,000 1,864 2.83 39.1

KOMLOG KOMECO KOS 18FC 3LA FRIO 18,000 1,864 2.83 39.1

KOMLOG KOMECO KOS 18FC 4LA FRIO 18,000 1,864 2.83 39.1

KOMLOG KOMECO KOS 18QC 3LA REVERSO 18,000 1,864 2.83 39.1

KOMLOG KOMECO KOS 18QC 4LA REVERSO 18,000 1,864 2.83 39.1

KOMLOG KOMECO KOS 18FC 3LA FRIO 18,000 1,864 2.83 39.1

CDM-PDD-FORM

Version 10.1 Page 62 of 71

Manufacturer Brand Model Type Capacity

(kW/hr)

Consumed

Electrical

Power(W)

EER

(W/W)

Energy

Consumption

(kWh/mon)

KOMLOG KOMECO KOS 18QC 3LA REVERSO 18,000 1,864 2.83 39.1

KOMLOG KOMECO BZS 18FC 3LA FRIO 18,000 1,864 2.83 39.1

KOMLOG KOMECO KOS 18FC 4LA FRIO 18,000 1,864 2.83 39.1

KOMLOG KOMECO BZS 18QC 3LA REVERSO 18,000 1,864 2.83 39.1

KOMLOG KOMECO KOS 18QC 4LA REVERSO 18,000 1,864 2.83 39.1

SPRINGER Springer ZCA195BB/RB FRIO 19,000 1,943 2.87 40.8

GREE GREE GJ18-22LM/C FRIO 18,000 1,830 2.88 38.4

GREE GREE GJC18BM-D1MND2A FRIO 18,000 1,830 2.88 38.4

WHIRLPOOL CONSUL CCI18D FRIO 18,000 1,830 2.88 38.4

JAGUAR FONTAINE JAG18J FRIO 18,000 1,890 2.89 39.7

ELGIN ELGIN EAF-18000-2 FRIO 18,000 1,815 2.91 38.1

GREE GREE GWCN18DCND1A1A/O FRIO 18,000 1,810 2.91 38.0

ELGIN ELGIN EAQ-18000-2 REVERSO 18,000 1,800 2.93 37.8

ELGIN ELGIN EAQ-18000-2 REVERSO 18,000 1,800 2.93 37.8

ELGIN ELGIN SRQE-18000-2 REVERSO 18,000 1,790 2.95 37.6

GREE GREE GWCN18ACND1A3B/O FRIO 18,000 1,790 2.95 37.6

GREE GREE GWHN18ACND1A3B/O REVERSO 18,000 1,790 2.95 37.6

ELECTROLUX ELECTROLUX PE18F FRIO 18,000 1,753 3.01 36.8

ELECTROLUX ELECTROLUX PE18R REVERSO 18,000 1,753 3.01 36.8

ELGIN ELGIN SRFE-18000-2 FRIO 18,000 1,750 3.01 36.8

SPRINGER CARRIER CARRIER 38KQA018515MC REVERSO 18,000 1,752 3.01 36.8

ELECTROLUX ELECTROLUX TE18F FRIO 18,000 1,743 3.03 36.6

ELECTROLUX ELECTROLUX TE18R REVERSO 18,000 1,743 3.03 36.6

SAMSUNG SAMSUNG AR18KPFUAWQXAZ REVERSO 18,000 1,740 3.03 36.5

SAMSUNG SAMSUNG AR18HCSUAWQXAZ FRIO 18,000 1,740 3.03 36.5

SAMSUNG SAMSUNG AR18KPSUAWQXAZ REVERSO 18,000 1,740 3.03 36.5

SAMSUNG SAMSUNG AR18KPFUAWQXAZ REVERSO 18,000 1,740 3.03 36.5

SPRINGER CARRIER CARRIER 38KCH18C5 FRIO 18,000 1,741 3.03 36.6

SPRINGER CARRIER CARRIER 38KQH18C5 REVERSO 18,000 1,741 3.03 36.6

SPRINGER CARRIER CARRIER 38KCM18C5 FRIO 18,000 1,741 3.03 36.6

SPRINGER CARRIER MIDEA 38MVQA18M5 REVERSO 18,000 1,743 3.03 36.6

SPRINGER CARRIER SPRINGER 38KCF18S5 FRIO 18,000 1,741 3.03 36.6

SPRINGER CARRIER SPRINGER 38KCK18C5 FRIO 18,000 1,741 3.03 36.6

SPRINGER CARRIER SPRINGER 38KCO18S5 FRIO 18,000 1,741 3.03 36.6

EL SHADDAI PIONEER KF-51W/X PN FRIO 18,000 1,722 3.04 36.2

ELGIN ELGIN SHFE-18000-2 FRIO 18,000 1,720 3.07 36.1

Philco Eletrônicos S.A Philco PH18000QFM5 Reverso 18,000 1,679 3.07 35.3

Philco Eletrônicos S.A Philco PH18000FM5 Frio 18,000 1,679 3.07 35.3

SPRINGER CARRIER MIDEA 38KCR18M5 FRIO 18,000 1,707 3.09 35.8

SPRINGER Springer ZCB185RB/BB FRIO 18,000 1,702 3.10 35.7

SPRINGER CARRIER MIDEA 38MLCA18M5 FRIO 18,000 1,695 3.11 35.6

SPRINGER CARRIER MIDEA 38MLQA18M5 REVERSO 18,000 1,695 3.11 35.6

AMAZONAS

IMPORTADOS AMAZONAS AMZ18EXT FRIO 18,000 1,827 3.13 38.4

Philco Eletrônicos S.A Philco PH18000FM Frio 18,000 1,656 3.18 34.8

Philco Eletrônicos S.A Philco PH18000QFM Reverso 18,000 1,656 3.18 34.8

SAMSUNG SAMSUNG AR18KCFUAWQXAZ FRIO 18,000 1,739 3.20 36.5

SPRINGER CARRIER MIDEA 38KCG18M5 FRIO 18,000 1,649 3.20 34.6

SPRINGER CARRIER MIDEA 38KQG18M5 REVERSO 18,000 1,649 3.20 34.6

WHIRLPOOL CONSUL CBY18B FRIO 18,000 1,644 3.21 34.5

WHIRLPOOL CONSUL CBZ18B REVERSO 18,000 1,644 3.21 34.5

WHIRLPOOL CONSUL CBY18C FRIO 18,000 1,644 3.21 34.5

WHIRLPOOL CONSUL CBZ18C REVERSO 18,000 1,644 3.21 34.5

EL SHADDAI PIONEER KF-51W/B PN FRIO 18,000 1,618 3.22 34.0

SPRINGER CARRIER SPRINGER 38KCE18S5 FRIO 18,000 1,640 3.22 34.4

SPRINGER CARRIER SPRINGER 38KQE18S5 REVERSO 18,000 1,640 3.22 34.4

HEXIUM NOVEXIUM NOV18W226 FRIO 18,000 1,619 3.24 34.0

A B GOMES REFRIG UNIFRIO UNI18EXT FRIO 18,000 1,613 3.24 33.9

COOL

EMPREENDIMENTOS COOL KEMP18EXT FRIO 18,000 1,613 3.24 33.9

ELGIN ELGIN HEQE18B2IA REVERSO 18,000 1,630 3.24 34.2

ELGIN ELGIN HWFE18B2NA FRIO 18,000 1,630 3.24 34.2

ELGIN ELGIN HWQE18B2NA REVERSO 18,000 1,630 3.24 34.2

GREE GREE GWC18MC-D1NNA3C/O FRIO 18,000 1,630 3.24 34.2

CDM-PDD-FORM

Version 10.1 Page 63 of 71

Manufacturer Brand Model Type Capacity

(kW/hr)

Consumed

Electrical

Power(W)

EER

(W/W)

Energy

Consumption

(kWh/mon)

GREE GREE GWH18MC-D1NNA3C/O REVERSO 18,000 1,630 3.24 34.2

GREE GREE GWC18MC-D1NNA8G/O FRIO 18,000 1,628 3.24 34.2

GREE GREE GWH18MC-D1NNA8G/O REVERSO 18,000 1,628 3.24 34.2

JADON EXPORT

IMPORT. COM. IMP. AUSTIN KFR-51W REVERSO 18,000 1,618 3.24 34.0

JAGUAR FONTAINE FON18EXT FRIO 18,000 1,699 3.24 35.7

KOMLOG KOMECO KOS 18FC 2HX FRIO 18,000 1,629 3.24 34.2

KOMLOG KOMECO KOS 18QC 2HX REVERSO 18,000 1,629 3.24 34.2

KOMLOG KOMECO KOHT 18FC 220 G1 FRIO 18,000 1,630 3.24 34.2

KOMLOG KOMECO KOHT 18QC 220 G1 REVERSO 18,000 1,630 3.24 34.2

KOMLOG KOMECO KOH 18FC 1HA FRIO 18,000 1,627 3.24 34.2

KOMLOG KOMECO KOH 18FC 1HA FRIO 18,000 1,627 3.24 34.2

KOMLOG KOMECO KOH 18QC 1HA REVERSO 18,000 1,627 3.24 34.2

KOMLOG KOMECO KOH 18QC 1HA REVERSO 18,000 1,627 3.24 34.2

KOMLOG KOMECO KOS 18QC 2HX REVERSO 18,000 1,629 3.24 34.2

KOMLOG KOMECO KOH 18QC 1HX REVERSO 18,000 1,630 3.24 34.2

KOMLOG KOMECO KOHI 18FC 1HX FRIO 18,000 1,627 3.24 34.2

SPRINGER CARRIER MIDEA 38KCJ18M5 FRIO 18,000 1,628 3.24 34.2

SPRINGER CARRIER MIDEA 38KQJ18M5 REVERSO 18,000 1,628 3.24 34.2

SPRINGER CARRIER MIDEA 38KQN18M5 REVERSO 18,000 1,628 3.24 34.2

SPRINGER CARRIER MIDEA 38KCN18M5 FRIO 18,000 1,628 3.24 34.2

SPRINGER CARRIER SPRINGER 38KQO18S5 REVERSO 18,000 1,628 3.24 34.2

SPRINGER CARRIER SPRINGER 38KCX18S5 FRIO 18,000 1,628 3.24 34.2

SPRINGER CARRIER SPRINGER 38KQX18S5 REVERSO 18,000 1,628 3.24 34.2

WHIRLPOOL CONSUL CBH18A FRIO 18,000 1,628 3.24 34.2

WHIRLPOOL CONSUL CBX18A REVERSO 18,000 1,628 3.24 34.2

WHIRLPOOL CONSUL CBY18D FRIO 18,000 1,628 3.24 34.2

WHIRLPOOL CONSUL CBZ18D REVERSO 18,000 1,628 3.24 34.2

WHIRLPOOL CONSUL CBB18C FRIO 18,000 1,628 3.24 34.2

WHIRLPOOL CONSUL CBO18B FRIO 18,000 1,628 3.24 34.2

WHIRLPOOL CONSUL CBQ18B REVERSO 18,000 1,628 3.24 34.2

WHIRLPOOL CONSUL CBD18C REVERSO 18,000 1,628 3.24 34.2

ELGIN ELGIN HLQE18B2NA REVERSO 18,000 1,623 3.25 34.1

EXTRA INFORMÁ TICA VG EXT-18-EXT FRIO 18,000 1,612 3.25 33.9

GRUPO NORDESTE ELBRUS DGF18EXT FRIO 18,000 1,612 3.25 33.9

ELGIN ELGIN SRFEA-18000-2 FRIO 18,000 1,620 3.26 34.0

ELGIN ELGIN HLFE18B2NA FRIO 18,000 1,618 3.26 34.0

GREE GREE GWC18MC-D3NNA5E/O FRIO 18,000 1,620 3.26 34.0

GREE GREE GWH18MC-D3NNA5E/O REVERSO 18,000 1,620 3.26 34.0

Philco Eletrônicos S.A Philco PH18000FM4 Frio 18,000 1,563 3.27 32.8

Philco Eletrônicos S.A Philco PH18000QFM4 Reverso 18,000 1,563 3.27 32.8

ELGIN ELGIN SRQEA-18000-2 REVERSO 18,000 1,600 3.30 33.6

ELGIN ELGIN HEFE18B2IA FRIO 18,000 1,590 3.32 33.4

VENTISOL AGRATTO CCS18QFERA-02 REVERSO 18,000 1,588 3.43 33.3

VENTISOL AGRATTO ECS18QFERA-02 REVERSO 18,000 1,588 3.43 33.3

VENTISOL AGRATTO ACS18QFERA-R4 REVERSO 18,000 1,588 3.43 33.3

VENTISOL AGRATTO ACS18FER4-02 FRIO 18,000 1,580 3.46 33.2

VENTISOL AGRATTO ECS18FER4-02 FRIO 18,000 1,580 3.46 33.2

VENTISOL AGRATTO CCS18FERA-02 FRIO 18,000 1,580 3.46 33.2

ELGIN ELGIN ERF21000-2 FRIO 21,000 2,510 2.45 52.7

ELGIN ELGIN ERF-21000-2 FRIO 21,000 2,475 2.49 52.0

EL SHADDAI PIONEER KF-66W FRIO 24,000 2,636 2.60 55.4

GREE GREE GSW30-22L/D(O) FRIO 30,000 3,380 2.60 71.0

GREE GREE GSW30-22R/D(O) REVERSO 30,000 3,380 2.60 71.0

SPRINGER CARRIER MIDEA 38KQJ24M5 REVERSO 24,000 2,695 2.61 56.6

GREE GREE GWC28MD-D1NNA3C/O FRIO 28,000 3,140 2.61 65.9

GREE GREE GWH28MD-D1NNA3C/O REVERSO 28,000 3,140 2.61 65.9

SPRINGER CARRIER MIDEA 38MTCA28M5 FRIO 28,000 3,143 2.61 66.0

SPRINGER CARRIER MIDEA 38MTCB28M5 FRIO 28,000 3,143 2.61 66.0

SPRINGER CARRIER MIDEA 38MTQA28M5 REVERSO 28,000 3,143 2.61 66.0

SPRINGER CARRIER MIDEA 38MTQB28M5 REVERSO 28,000 3,143 2.61 66.0

SPRINGER CARRIER MIDEA 38MTQA22M5 REVERSO 22,000 2,430 2.65 51.0

JAGUAR FONTAINE JAG30J FRIO 30,000 3,155 2.70 66.3

ELGIN ELGIN SHQE-30000-2 REVERSO 30,000 3,250 2.70 68.3

CDM-PDD-FORM

Version 10.1 Page 64 of 71

Manufacturer Brand Model Type Capacity

(kW/hr)

Consumed

Electrical

Power(W)

EER

(W/W)

Energy

Consumption

(kWh/mon)

SPRINGER CARRIER MIDEA 38MLCB30M5 FRIO 30,000 3,256 2.70 68.4

SPRINGER SPRINGER ZQB2015RB REVERSO 21,000 2,260 2.72 47.5

ELGIN ELGIN ERF30000-2 FRIO 30,000 3,230 2.72 67.8

ELGIN ELGIN ERF-30000-2 FRIO 30,000 3,230 2.72 67.8

GREE GREE GJ21-22LM/B FRIO 21,000 2,250 2.73 47.3

SPRINGER CARRIER MIDEA 38KCG24M5 FRIO 24,000 2,576 2.73 54.1

SPRINGER CARRIER MIDEA 38KQG24M5 REVERSO 24,000 2,576 2.73 54.1

SPRINGER CARRIER COMFEE 38MMQA24F5 REVERSO 24,000 2,558 2.75 53.7

SPRINGER CARRIER COMFEE 38MMQB24F5 REVERSO 24,000 2,558 2.75 53.7

SPRINGER CARRIER CARRIER 38XQE030515MC REVERSO 30,000 3,170 2.77 66.6

SPRINGER CARRIER CARRIER 38KQB030515MC REVERSO 30,000 3,170 2.77 66.6

SPRINGER CARRIER CARRIER 38KQH30C5 REVERSO 30,000 3,170 2.77 66.6

SPRINGER CARRIER CARRIER 38XCE030515MC FRIO 30,000 3,160 2.78 66.4

SPRINGER CARRIER CARRIER 38XCE030515MC FRIO 30,000 3,160 2.78 66.4

SPRINGER CARRIER CARRIER 38KCB030515MC FRIO 30,000 3,160 2.78 66.4

SPRINGER CARRIER CARRIER 38KCH30C5 FRIO 30,000 3,160 2.78 66.4

SPRINGER SPRINGER ZQA350BB REVERSO 30,000 3,150 2.79 66.2

ELECTROLUX ELECTROLUX PE24F FRIO 24,000 2,504 2.81 52.6

ELECTROLUX ELECTROLUX PE24R REVERSO 24,000 2,504 2.81 52.6

ELECTROLUX ELECTROLUX PE30F FRIO 30,000 3,128 2.81 65.7

ELECTROLUX ELECTROLUX PE30R REVERSO 30,000 3,128 2.81 65.7

GREE GREE GJ21-22LM/C FRIO 21,000 2,180 2.82 45.8

GREE GREE GJC21BM-D1MND2A FRIO 21,000 2,180 2.82 45.8

SPRINGER SPRINGER ZCB215RB/BB FRIO 21,000 2,180 2.82 45.8

WHIRLPOOL CONSUL CCF21D FRIO 21,000 2,185 2.82 45.9

WHIRLPOOL CONSUL CCR21D REVERSO 21,000 2,185 2.82 45.9

ELECTROLUX ELECTROLUX TE24F FRIO 24,000 2,497 2.82 52.4

ELECTROLUX ELECTROLUX TE24R REVERSO 24,000 2,497 2.82 52.4

ELGIN ELGIN SRFE-24000-2 FRIO 24,000 2,490 2.82 52.3

ELGIN ELGIN SRQE-24000-2 REVERSO 24,000 2,490 2.82 52.3

KOMLOG KOMECO KOS 24FC 2LX FRIO 24,000 2,495 2.82 52.4

KOMLOG KOMECO KOS 24QC 2LX REVERSO 24,000 2,495 2.82 52.4

SPRINGER CARRIER MIDEA 38KCJ24M5 FRIO 24,000 2,494 2.82 52.4

HEXIUM NOVEXIUM NOV30J FRIO 30,000 3,081 2.82 64.7

KOMLOG KOMECO KOS 30FC 2LX FRIO 30,000 3,120 2.82 65.5

KOMLOG KOMECO KOS 30QC 2LX REVERSO 30,000 3,120 2.82 65.5

SPRINGER CARRIER MIDEA 38KCJ30M5 FRIO 30,000 3,118 2.82 65.5

SPRINGER CARRIER MIDEA 38KQJ30M5 REVERSO 30,000 3,118 2.82 65.5

HEXIUM NOVEXIUM NOV21J FRIO 21,000 2,151 2.83 45.2

KOMLOG KOMECO KOH 22FC 1LA FRIO 22,000 2,280 2.83 47.9

KOMLOG KOMECO KOH 22FC 1LA FRIO 22,000 2,280 2.83 47.9

KOMLOG KOMECO KOH 22QC 1LA REVERSO 22,000 2,280 2.83 47.9

KOMLOG KOMECO KOH 22QC 1LA REVERSO 22,000 2,280 2.83 47.9

HEXIUM NOVEXIUM NOV24J FRIO 24,000 2,360 2.83 49.6

KOMLOG KOMECO KOS 24FC 4LA FRIO 24,000 2,485 2.83 52.2

KOMLOG KOMECO KOS 24QC 4LA REVERSO 24,000 2,485 2.83 52.2

KOMLOG KOMECO BZS 24FC 3LA FRIO 24,000 2,485 2.83 52.2

KOMLOG KOMECO BZS 24QC 3LA REVERSO 24,000 2,485 2.83 52.2

KOMLOG KOMECO KOS 24FC 4LA FRIO 24,000 2,485 2.83 52.2

EXTRA INFORMATICA VG EXT30EXT FRIO 30,000 3,001 2.83 63.0

JAGUAR FONTAINE JAG24J FRIO 24,000 2,517 2.84 52.9

EL SHADDAI PIONEER KF-88W/X PN FRIO 30,000 2,989 2.84 62.8

EXTRA

INFORMATICA VG EXT21WR26 FRIO 21,000 2,151 2.86 45.2

EXTRA

INFORMATICA VG EXT30WR26 FRIO 30,000 3,040 2.86 63.8

SPRINGER CARRIER SPRINGER 38KCO22S5 FRIO 22,000 2,249 2.87 47.2

GREE GREE GSW24-22L/C(O) FRIO 24,000 2,450 2.87 51.5

GREE GREE GSW24-22R/C(O) REVERSO 24,000 2,450 2.87 51.5

EL SHADDAI PIONEER KF-88W/B PN FRIO 30,000 3,050 2.87 64.1

TECHFRIO TECHFRIO TECH30EXT FRIO 30,000 3,016 2.87 63.3

ELGIN ELGIN SRFE-30000-2 FRIO 30,000 3,050 2.88 64.1

Philco Eletrônicos S.A Philco PH30000QFM5 Reverso 29,000 2,779 2.89 58.4

Philco Eletrônicos S.A Philco PH30000FM5 Frio 29,000 2,779 2.89 58.4

CDM-PDD-FORM

Version 10.1 Page 65 of 71

Manufacturer Brand Model Type Capacity

(kW/hr)

Consumed

Electrical

Power(W)

EER

(W/W)

Energy

Consumption

(kWh/mon)

A B GOMES REFRIG UNIFRIO UNI30EXT FRIO 30,000 3,039 2.89 63.8

SPRINGER CARRIER MIDEA 38MLQA30M5 REVERSO 30,000 3,032 2.90 63.7

ELGIN ELGIN SHFE-24000-2 FRIO 24,000 2,410 2.92 50.6

AMAZONAS

IMPORTADOS AMAZONAS AMZ30EXT FRIO 30,000 2,876 2.92 60.4

ELGIN ELGIN SHQE-24000-2 REVERSO 24,000 2,400 2.93 50.4

ELGIN ELGIN SSFE-24000-2 FRIO 24,000 2,400 2.93 50.4

ELGIN ELGIN SSQE-24000-2 REVERSO 24,000 2,400 2.93 50.4

ELGIN ELGIN SRQE-30000-2 REVERSO 30,000 3,000 2.93 63.0

JAGUAR FONTAINE FON30EXT FRIO 30,000 2,880 2.94 60.5

SPRINGER CARRIER CARRIER 38KCA022515MC FRIO 22,000 2,142 3.01 45.0

SPRINGER CARRIER CARRIER 38KQA022515MC REVERSO 22,000 2,142 3.01 45.0

SPRINGER CARRIER CARRIER 38KCH22C5 FRIO 22,000 2,128 3.03 44.7

SPRINGER CARRIER CARRIER 38KQH22C5 REVERSO 22,000 2,128 3.03 44.7

SPRINGER CARRIER MIDEA 38KQN22M5 REVERSO 22,000 2,127 3.03 44.7

SPRINGER CARRIER SPRINGER 38KCF22S5 FRIO 22,000 2,128 3.03 44.7

SPRINGER CARRIER SPRINGER 38KQF22S5 REVERSO 22,000 2,128 3.03 44.7

SPRINGER CARRIER SPRINGER 38KQO22S5 REVERSO 22,000 2,127 3.03 44.7

EL SHADDAI PIONEER KF-66W/X PN FRIO 24,000 2,292 3.03 48.1

SAMSUNG SAMSUNG AR24KPFUAWQXAZ REVERSO 24,000 2,320 3.03 48.7

SAMSUNG SAMSUNG AR24HCSUAWQXAZ FRIO 24,000 2,320 3.03 48.7

SAMSUNG SAMSUNG AR24KPSUAWQXAZ REVERSO 24,000 2,320 3.03 48.7

SAMSUNG SAMSUNG AR24KPFUAWQXAZ REVERSO 24,000 2,320 3.03 48.7

SPRINGER CARRIER SPRINGER 38KCX30S5 FRIO 30,000 2,902 3.03 60.9

SPRINGER CARRIER SPRINGER 38KQX30S5 REVERSO 30,000 2,902 3.03 60.9

JADON EXPORT

IMPORT. COM. IMP. AUSTIN KFR-61W REVERSO 22,000 2,101 3.04 44.1

GREE GREE GWC28ME-D1NNA8B/O FRIO 28,000 2,700 3.04 56.7

GREE GREE GWH28ME-D1NNA8B/O REVERSO 28,000 2,700 3.04 56.7

JADON EXPORT

IMPORT. COM. IMP. AUSTIN KFR-88W REVERSO 28,000 2,690 3.04 56.5

SPRINGER CARRIER MIDEA 38KCS30M5 FRIO 30,000 2,883 3.05 60.5

GREE GREE GWH24ME-D3NNA5E/O REVERSO 24,000 2,280 3.08 47.9

Philco Eletrônicos S.A Philco PH24000FM Frio 24,000 2,322 3.11 48.8

Philco Eletrônicos S.A Philco PH24000QFM Reverso 24,000 2,322 3.11 48.8

SAMSUNG SAMSUNG AR24KCFUAWQXAZ FRIO 24,000 2,318 3.13 48.7

SPRINGER CARRIER MIDEA 38KCS24M5 FRIO 24,000 2,247 3.13 47.2

EL SHADDAI PIONEER KF-70W/B PN FRIO 24,000 2,230 3.14 46.8

AMAZONAS

IMPORTADOS AMAZONAS AMZ24EXT FRIO 24,000 2,173 3.15 45.6

Philco Eletrônicos S.A Philco PH24000QFM5 Reverso 24,000 2,097 3.16 44.0

Philco Eletrônicos S.A Philco PH24000FM5 Frio 24,000 2,097 3.16 44.0

GREE GREE GWC28ME-D3NNA5E/O FRIO 28,000 2,600 3.16 54.6

GREE GREE GWH28ME-D3NNA5E/O REVERSO 28,000 2,600 3.16 54.6

SPRINGER CARRIER MIDEA 38KCR24M5 FRIO 24,000 2,198 3.20 46.2

SPRINGER CARRIER CARRIER 38KCM30C5 FRIO 30,000 2,748 3.20 57.7

SPRINGER CARRIER SPRINGER 38KCE22S5 FRIO 22,000 2,010 3.21 42.2

WHIRLPOOL CONSUL CBY22B FRIO 22,000 2,008 3.21 42.2

WHIRLPOOL CONSUL CBZ22B REVERSO 22,000 2,008 3.21 42.2

WHIRLPOOL CONSUL CBY22C FRIO 22,000 2,008 3.21 42.2

Philco Eletrônicos S.A Philco PH24000FM4 Frio 24,000 2,076 3.23 43.6

Philco Eletrônicos S.A Philco PH24000QFM4 Reverso 24,000 2,076 3.23 43.6

KOMLOG KOMECO KOH 22QC 1HX REVERSO 22,000 1,990 3.24 41.8

KOMLOG KOMECO KOHI 22FC 1HX FRIO 22,000 1,990 3.24 41.8

SPRINGER CARRIER CARRIER 38KCM22C5 FRIO 22,000 1,990 3.24 41.8

SPRINGER CARRIER MIDEA 38KCN22M5 FRIO 22,000 1,990 3.24 41.8

SPRINGER CARRIER SPRINGER 38KCX22S5 FRIO 22,000 1,990 3.24 41.8

SPRINGER CARRIER SPRINGER 38KQX22S5 REVERSO 22,000 1,990 3.24 41.8

WHIRLPOOL CONSUL CBH22A FRIO 22,000 1,989 3.24 41.8

WHIRLPOOL CONSUL CBX22A REVERSO 22,000 1,989 3.24 41.8

WHIRLPOOL CONSUL CBY22D FRIO 22,000 1,990 3.24 41.8

WHIRLPOOL CONSUL CBZ22D REVERSO 22,000 1,990 3.24 41.8

WHIRLPOOL CONSUL CBB22C FRIO 22,000 1,989 3.24 41.8

WHIRLPOOL CONSUL CBO22B FRIO 22,000 1,989 3.24 41.8

WHIRLPOOL CONSUL CBZ22C REVERSO 22,000 1,990 3.24 41.8

CDM-PDD-FORM

Version 10.1 Page 66 of 71

Manufacturer Brand Model Type Capacity

(kW/hr)

Consumed

Electrical

Power(W)

EER

(W/W)

Energy

Consumption

(kWh/mon)

WHIRLPOOL CONSUL CBQ22B REVERSO 22,000 1,989 3.24 41.8

WHIRLPOOL CONSUL CBD22C REVERSO 22,000 1,989 3.24 34.2

CENTER KENNEDY KENNEDY KEN24EXT FRIO 24,000 2,135 3.24 44.8

COOL

EMPREENDIMENTOS COOL KEMP24EXT FRIO 24,000 2,135 3.24 44.9

ELGIN ELGIN HEFE24B2IA FRIO 24,000 2,170 3.24 45.6

ELGIN ELGIN HEQE24B2IA REVERSO 24,000 2,170 3.24 45.6

ELGIN ELGIN HLQE24B2NA REVERSO 24,000 2,170 3.24 45.6

EXTRA INFORMÁ TICA VG EXT-24-EXT FRIO 24,000 2,153 3.24 45.2

GREE GREE GWC24MD-D1NNA3C/O FRIO 24,000 2,173 3.24 45.6

GREE GREE GWH24MD-D1NNA3C/O REVERSO 24,000 2,173 3.24 45.6

GREE GREE GWC24ME-D3NNA5E/O FRIO 24,000 2,170 3.24 45.6

GREE GREE GWC24ME-D1NNA8E/O FRIO 24,000 2,170 3.24 45.6

GREE GREE GWH24ME-D1NNA8E/O REVERSO 24,000 2,170 3.24 45.6

GRUPO NORDESTE ELBRUS DGF24EXT FRIO 24,000 2,170 3.24 45.2

JAGUAR FONTAINE FON24EXT FRIO 24,000 2,010 3.24 42.2

KOMLOG KOMECO KOHI 24FC 1HX FRIO 24,000 2,170 3.24 45.6

TECHFRIO TECHFRIO TECH24EXT FRIO 24,000 2,093 3.24 44.0

COOL EMPREENDIMENTOS

COOL KEMP30EXT FRIO 30,000 2,093 3.24 55.6

ELECTROLUX ELECTROLUX TE30F FRIO 30,000 2,712 3.24 57.0

ELECTROLUX ELECTROLUX TE30R REVERSO 30,000 2,712 3.24 57.0

ELGIN ELGIN HEFE30B2IA FRIO 30,000 2,710 3.24 56.9

ELGIN ELGIN HEQE30B2IA REVERSO 30,000 2,715 3.24 57.0

ELGIN ELGIN HLQE30B2NA REVERSO 30,000 2,713 3.24 57.0

GRUPO NORDESTE ELBRUS DGF30EXT FRIO 30,000 2,713 3.24 55.0

A B GOMES REFRIG UNIFRIO UNI24EXT FRIO 24,000 2,136 3.26 44.9

ELGIN ELGIN HLFE24B2NA FRIO 24,000 2,157 3.26 45.3

ELGIN ELGIN HLFE30B2NA FRIO 30,000 2,689 3.27 56.5

ELGIN ELGIN HWFE24B2NA FRIO 24,000 2,111 3.33 44.3

ELGIN ELGIN HWQE30B2NA REVERSO 30,000 2,608 3.37 54.8

ELGIN ELGIN HWFE30B2NA FRIO 30,000 2,576 3.41 54.1

ELGIN ELGIN HWQE24B2NA REVERSO 24,000 2,033 3.46 42.7

2. LGEBR`s sales plan during crediting period

Sales

year sort Model Function Type sales

Cooling

Capacity

Consumed

Electrical

Power

(W/hr)

EER Refrigerants(kg)

BTU/hr Kw/hr W/W R410a R32

2019 STD Win-CO-09K TBD FRIO INVERTER 200 8,500 2.501 815 3.07 0.52 -

2019 STD-CO-09K S4-Q09WA5WB FRIO INVERTER 100 9,000 2.648 815 3.25 0.69 -

2019 STD-HP-09K S4-W09WA5WA REVERSO INVERTER 100 9,000 2.648 815 3.25 0.69 -

2019 Window 10k W3NQ10UNNP0 FRIO INVERTER 100 9,500 2.796 910 3.07 - 0.31

2019 STD Win-CO-12K TBD FRIO INVERTER 100 11,000 3.237 1,050 3.08 0.60 -

2019 ART-HP-12K S4-W12JARPA REVERSO INVERTER 100 12,000 3.531 1,085 3.25 0.85 -

2019 STD-CO-12K S4-Q12JA3WC FRIO INVERTER 100 12,000 3.531 1,085 3.25 0.85 -

2019 STD-HP-12K S4-W12JA3WA REVERSO INVERTER 100 12,000 3.531 1,085 3.25 0.85 -

2019 STD 127V-CO-

12K S4-Q12JA3WF FRIO INVERTER 100 12,000 3.531 1,085 3.25 0.85 -

2019 Window 14k W3NQ15LNNP0 FRIO INVERTER 100 14,000 4.120 1,250 3.30 - 0.44

2019 STD Win-CO-18K TBD FRIO INVERTER 100 16,500 4.855 1,580 3.07 1.00 -

2019 ART-HP-18K S4-W18KLRPA REVERSO INVERTER 100 18,000 5.297 1,630 3.25 1.23 -

2019 STD-CO-18K S4-Q18KL3WB FRIO INVERTER 100 18,000 5.297 1,630 3.25 1.20 -

2019 STD-HP-18K S4-W18KL3WA REVERSO INVERTER 100 18,000 5.297 1,630 3.25 1.23 -

2019 ART-HP-24K S4-W24KERP1 REVERSO INVERTER 100 22,000 6.474 1,990 3.25 1.45 -

2019 STD-CO-24K S4-Q24K23WD FRIO INVERTER 100 22,000 6.474 1,980 3.27 1.40 -

2019 STD-HP-24K S4-W24KE3W1 REVERSO INVERTER 100 22,000 6.474 1,990 3.25 1.45 -

2019 STD-HP-31K S4-W31V43B1 REVERSO INVERTER 100 31,000 9.122 2,804 3.25 2.08 -

2019 STD-HP-32K(SR) S4-W36R43FA REVERSO INVERTER 100 32,000 9.417 2,895 3.25 2.40 -

Sub total 2,000 19.34 0.75

2020 STD Win-CO-09K TBD FRIO INVERTER 200 8,500 2.501 815 3.07 0.52 -

2020 STD-CO-09K S4-Q09WA5WB FRIO INVERTER 100 9,000 2.648 815 3.25 0.69 -

2020 STD-HP-09K S4-W09WA5WA REVERSO INVERTER 100 9,000 2.648 815 3.25 0.69 -

CDM-PDD-FORM

Version 10.1 Page 67 of 71

Sales

year sort Model Function Type sales

Cooling

Capacity

Consumed

Electrical

Power

(W/hr)

EER Refrigerants(kg)

BTU/hr Kw/hr W/W R410a R32

2020 Window 10k W3NQ10UNNP0 FRIO INVERTER 100 9,500 2.796 910 3.07 - 0.31

2020 STD Win-CO-12K TBD FRIO INVERTER 100 11,000 3.237 1,050 3.08 0.60 -

2020 ART-HP-12K S4-W12JARPA REVERSO INVERTER 100 12,000 3.531 1,085 3.25 0.85 -

2020 STD-CO-12K S4-Q12JA3WC FRIO INVERTER 100 12,000 3.531 1,085 3.25 0.85 -

2020 STD-HP-12K S4-W12JA3WA REVERSO INVERTER 100 12,000 3.531 1,085 3.25 0.85 -

2020 STD 127V-CO-

12K S4-Q12JA3WF FRIO INVERTER 100 12,000 3.531 1,085 3.25 0.85 -

2020 Window 14k W3NQ15LNNP0 FRIO INVERTER 100 14,000 4.120 1,250 3.30 - 0.44

2020 STD Win-CO-18K TBD FRIO INVERTER 100 16,500 4.855 1,580 3.07 1.00 -

2020 ART-HP-18K S4-W18KLRPA REVERSO INVERTER 100 18,000 5.297 1,630 3.25 1.23 -

2020 STD-CO-18K S4-Q18KL3WB FRIO INVERTER 100 18,000 5.297 1,630 3.25 1.20 -

2020 STD-HP-18K S4-W18KL3WA REVERSO INVERTER 100 18,000 5.297 1,630 3.25 1.23 -

2020 ART-HP-24K S4-W24KERP1 REVERSO INVERTER 100 22,000 6.474 1,990 3.25 1.45 -

2020 STD-CO-24K S4-Q24K23WD FRIO INVERTER 100 22,000 6.474 1,980 3.27 1.40 -

2020 STD-HP-24K S4-W24KE3W1 REVERSO INVERTER 100 22,000 6.474 1,990 3.25 1.45 -

2020 STD-HP-31K S4-W31V43B1 REVERSO INVERTER 100 31,000 9.122 2,804 3.25 2.08 -

2020 STD-HP-32K(SR) S4-W36R43FA REVERSO INVERTER 100 32,000 9.417 2,895 3.25 2.40 -

Sub Total 2,000 19.34 0.75

2021 STD Win-CO-09K TBD FRIO INVERTER 200 8,500 2.501 815 3.22 - 0.52

2021 STD-CO-09K S4-Q09WA5WB FRIO INVERTER 100 9,000 2.648 815 3.41 - 0.69

2021 STD-HP-09K S4-W09WA5WA REVERSO INVERTER 100 9,000 2.648 815 3.41 - 0.69

2021 Window 10k W3NQ10UNNP0 FRIO INVERTER 100 9,500 2.796 910 3.23 - 0.31

2021 STD Win-CO-12K TBD FRIO INVERTER 100 11,000 3.237 1,050 3.24 - 0.60

2021 ART-HP-12K S4-W12JARPA REVERSO INVERTER 100 12,000 3.531 1,085 3.42 - 0.85

2021 STD-CO-12K S4-Q12JA3WC FRIO INVERTER 100 12,000 3.531 1,085 3.42 - 0.85

2021 STD-HP-12K S4-W12JA3WA REVERSO INVERTER 100 12,000 3.531 1,085 3.42 - 0.85

2021 STD 127V-CO-

12K S4-Q12JA3WF FRIO INVERTER 100 12,000 3.531 1,085 3.42 - 0.85

2021 Window 14k W3NQ15LNNP0 FRIO INVERTER 100 14,000 4.120 1,250 3.46 - 0.44

2021 STD Win-CO-18K TBD FRIO INVERTER 100 16,500 4.855 1,580 3.23 - 1.00

2021 ART-HP-18K S4-W18KLRPA REVERSO INVERTER 100 18,000 5.297 1,630 3.41 - 1.23

2021 STD-CO-18K S4-Q18KL3WB FRIO INVERTER 100 18,000 5.297 1,630 3.41 - 1.20

2021 STD-HP-18K S4-W18KL3WA REVERSO INVERTER 100 18,000 5.297 1,630 3.41 - 1.23

2021 ART-HP-24K S4-W24KERP1 REVERSO INVERTER 100 22,000 6.474 1,990 3.42 - 1.45

2021 STD-CO-24K S4-Q24K23WD FRIO INVERTER 100 22,000 6.474 1,980 3.43 - 1.40

2021 STD-HP-24K S4-W24KE3W1 REVERSO INVERTER 100 22,000 6.474 1,990 3.42 - 1.45

2021 STD-HP-31K S4-W31V43B1 REVERSO INVERTER 100 31,000 9.122 2,804 3.42 - 2.08

2021 STD-HP-32K(SR) S4-W36R43FA REVERSO INVERTER 100 32,000 9.417 2,895 3.42 - 2.40

Sub Total 2,000 - 20.09

2022 STD Win-CO-09K TBD FRIO INVERTER 10,000 8,500 2.501 815 3.29 - 0.52

2022 STD-CO-09K S4-Q09WA5WB FRIO INVERTER 10,000 9,000 2.648 815 3.48 - 0.69

2022 STD-HP-09K S4-W09WA5WA REVERSO INVERTER 10,000 9,000 2.648 815 3.48 - 0.69

2022 Window 10k W3NQ10UNNP0 FRIO INVERTER 10,000 9,500 2.796 910 3.29 - 0.31

2022 STD Win-CO-12K TBD FRIO INVERTER 10,000 11,000 3.237 1,050 3.30 - 0.60

2022 ART-HP-12K S4-W12JARPA REVERSO INVERTER 10,000 12,000 3.531 1,085 3.49 - 0.85

2022 STD-CO-12K S4-Q12JA3WC FRIO INVERTER 10,000 12,000 3.531 1,085 3.49 - 0.85

2022 STD-HP-12K S4-W12JA3WA REVERSO INVERTER 10,000 12,000 3.531 1,085 3.49 - 0.85

2022 STD 127V-CO-

12K S4-Q12JA3WF FRIO INVERTER 10,000 12,000 3.531 1,085 3.49 - 0.85

2022 Window 14k W3NQ15LNNP0 FRIO INVERTER 10,000 14,000 4.120 1,250 3.53 - 0.44

2022 STD Win-CO-18K TBD FRIO INVERTER 10,000 16,500 4.855 1,580 3.29 - 1.00

2022 ART-HP-18K S4-W18KLRPA REVERSO INVERTER 10,000 18,000 5.297 1,630 3.48 - 1.23

2022 STD-CO-18K S4-Q18KL3WB FRIO INVERTER 10,000 18,000 5.297 1,630 3.48 - 1.20

2022 STD-HP-18K S4-W18KL3WA REVERSO INVERTER 10,000 18,000 5.297 1,630 3.48 - 1.23

2022 ART-HP-24K S4-W24KERP1 REVERSO INVERTER 10,000 22,000 6.474 1,990 3.48 - 1.45

2022 STD-CO-24K S4-Q24K23WD FRIO INVERTER 10,000 22,000 6.474 1,980 3.50 - 1.40

2022 STD-HP-24K S4-W24KE3W1 REVERSO INVERTER 10,000 22,000 6.474 1,990 3.48 - 1.45

2022 STD-HP-31K S4-W31V43B1 REVERSO INVERTER 15,000 31,000 9.122 2,804 3.48 - 2.08

2022 STD-HP-32K(SR) S4-W36R43FA REVERSO INVERTER 15,000 32,000 9.417 2,895 3.48 - 2.40

Sub Total 200,000 - 20.09

2023 STD Win-CO-09K TBD FRIO INVERTER 10,000 8,500 2.501 815 3.35 - 0.52

2023 STD-CO-09K S4-Q09WA5WB FRIO INVERTER 10,000 9,000 2.648 815 3.55 - 0.69

2023 STD-HP-09K S4-W09WA5WA REVERSO INVERTER 10,000 9,000 2.648 815 3.55 - 0.69

2023 Window 10k W3NQ10UNNP0 FRIO INVERTER 10,000 9,500 2.796 910 3.36 - 0.31

CDM-PDD-FORM

Version 10.1 Page 68 of 71

Sales

year sort Model Function Type sales

Cooling

Capacity

Consumed

Electrical

Power

(W/hr)

EER Refrigerants(kg)

BTU/hr Kw/hr W/W R410a R32

2023 STD Win-CO-12K TBD FRIO INVERTER 10,000 11,000 3.237 1,050 3.37 - 0.60

2023 ART-HP-12K S4-W12JARPA REVERSO INVERTER 10,000 12,000 3.531 1,085 3.56 - 0.85

2023 STD-CO-12K S4-Q12JA3WC FRIO INVERTER 10,000 12,000 3.531 1,085 3.56 - 0.85

2023 STD-HP-12K S4-W12JA3WA REVERSO INVERTER 10,000 12,000 3.531 1,085 3.56 - 0.85

2023 STD 127V-CO-

12K S4-Q12JA3WF FRIO INVERTER 10,000 12,000 3.531 1,085 3.56 - 0.85

2023 Window 14k W3NQ15LNNP0 FRIO INVERTER 10,000 14,000 4.120 1,250 3.60 - 0.44

2023 STD Win-CO-18K TBD FRIO INVERTER 10,000 16,500 4.855 1,580 3.36 - 1.00

2023 ART-HP-18K S4-W18KLRPA REVERSO INVERTER 10,000 18,000 5.297 1,630 3.55 - 1.23

2023 STD-CO-18K S4-Q18KL3WB FRIO INVERTER 10,000 18,000 5.297 1,630 3.55 - 1.20

2023 STD-HP-18K S4-W18KL3WA REVERSO INVERTER 10,000 18,000 5.297 1,630 3.55 - 1.23

2023 ART-HP-24K S4-W24KERP1 REVERSO INVERTER 10,000 22,000 6.474 1,990 3.55 - 1.45

2023 STD-CO-24K S4-Q24K23WD FRIO INVERTER 10,000 22,000 6.474 1,980 3.57 - 1.40

2023 STD-HP-24K S4-W24KE3W1 REVERSO INVERTER 10,000 22,000 6.474 1,990 3.55 - 1.45

2023 STD-HP-31K S4-W31V43B1 REVERSO INVERTER 15,000 31,000 9.122 2,804 3.55 - 2.08

2023 STD-HP-32K(SR) S4-W36R43FA REVERSO INVERTER 15,000 32,000 9.417 2,895 3.55 - 2.40

Sub Total 200,000 - 20.9

2024 STD Win-CO-09K TBD FRIO INVERTER 10,000 8,500 2.501 815 3.42 - 0.52

2024 STD-CO-09K S4-Q09WA5WB FRIO INVERTER 10,000 9,000 2.648 815 3.62 - 0.69

2024 STD-HP-09K S4-W09WA5WA REVERSO INVERTER 10,000 9,000 2.648 815 3.62 - 0.69

2024 Window 10k W3NQ10UNNP0 FRIO INVERTER 10,000 9,500 2.796 910 3.42 - 0.31

2024 STD Win-CO-12K TBD FRIO INVERTER 10,000 11,000 3.237 1,050 3.44 - 0.60

2024 ART-HP-12K S4-W12JARPA REVERSO INVERTER 10,000 12,000 3.531 1,085 3.63 - 0.85

2024 STD-CO-12K S4-Q12JA3WC FRIO INVERTER 10,000 12,000 3.531 1,085 3.63 - 0.85

2024 STD-HP-12K S4-W12JA3WA REVERSO INVERTER 10,000 12,000 3.531 1,085 3.63 - 0.85

2024 STD 127V-CO-

12K S4-Q12JA3WF FRIO INVERTER 10,000 12,000 3.531 1,085 3.63 - 0.85

2024 Window 14k W3NQ15LNNP0 FRIO INVERTER 10,000 14,000 4.120 1,250 3.67 - 0.44

2024 STD Win-CO-18K TBD FRIO INVERTER 10,000 16,500 4.855 1,580 3.42 - 1.00

2024 ART-HP-18K S4-W18KLRPA REVERSO INVERTER 10,000 18,000 5.297 1,630 3.62 - 1.23

2024 STD-CO-18K S4-Q18KL3WB FRIO INVERTER 10,000 18,000 5.297 1,630 3.62 - 1.20

2024 STD-HP-18K S4-W18KL3WA REVERSO INVERTER 10,000 18,000 5.297 1,630 3.62 - 1.23

2024 ART-HP-24K S4-W24KERP1 REVERSO INVERTER 10,000 22,000 6.474 1,990 3.62 - 1.45

2024 STD-CO-24K S4-Q24K23WD FRIO INVERTER 10,000 22,000 6.474 1,980 3.64 - 1.40

2024 STD-HP-24K S4-W24KE3W1 REVERSO INVERTER 10,000 22,000 6.474 1,990 3.62 - 1.45

2024 STD-HP-31K S4-W31V43B1 REVERSO INVERTER 15,000 31,000 9.122 2,804 3.63 - 2.08

2024 STD-HP-32K(SR) S4-W36R43FA REVERSO INVERTER 15,000 32,000 9.417 2,895 3.62 - 2.40

Sub Total 200,000 - 20.09

2025 STD Win-CO-09K TBD FRIO INVERTER 10,000 8,500 2.501 815 3.49 - 0.52

2025 STD-CO-09K S4-Q09WA5WB FRIO INVERTER 10,000 9,000 2.648 815 3.69 - 0.69

2025 STD-HP-09K S4-W09WA5WA REVERSO INVERTER 10,000 9,000 2.648 815 3.69 - 0.69

2025 Window 10k W3NQ10UNNP0 FRIO INVERTER 10,000 9,500 2.796 910 3.49 - 0.31

2025 STD Win-CO-12K TBD FRIO INVERTER 10,000 11,000 3.237 1,050 3.50 - 0.60

2025 ART-HP-12K S4-W12JARPA REVERSO INVERTER 10,000 12,000 3.531 1,085 3.70 - 0.85

2025 STD-CO-12K S4-Q12JA3WC FRIO INVERTER 10,000 12,000 3.531 1,085 3.70 - 0.85

2025 STD-HP-12K S4-W12JA3WA REVERSO INVERTER 10,000 12,000 3.531 1,085 3.70 - 0.85

2025 STD 127V-CO-

12K S4-Q12JA3WF FRIO INVERTER 10,000 12,000 3.531 1,085 3.70 - 0.85

2025 Window 14k W3NQ15LNNP0 FRIO INVERTER 10,000 14,000 4.120 1,250 3.75 - 0.44

2025 STD Win-CO-18K TBD FRIO INVERTER 10,000 16,500 4.855 1,580 3.49 - 1.00

2025 ART-HP-18K S4-W18KLRPA REVERSO INVERTER 10,000 18,000 5.297 1,630 3.69 - 1.23

2025 STD-CO-18K S4-Q18KL3WB FRIO INVERTER 10,000 18,000 5.297 1,630 3.69 - 1.20

2025 STD-HP-18K S4-W18KL3WA REVERSO INVERTER 10,000 18,000 5.297 1,630 3.69 - 1.23

2025 ART-HP-24K S4-W24KERP1 REVERSO INVERTER 10,000 22,000 6.474 1,990 3.70 - 1.45

2025 STD-CO-24K S4-Q24K23WD FRIO INVERTER 10,000 22,000 6.474 1,980 3.72 - 1.40

2025 STD-HP-24K S4-W24KE3W1 REVERSO INVERTER 10,000 22,000 6.474 1,990 3.70 - 1.45

2025 STD-HP-31K S4-W31V43B1 REVERSO INVERTER 15,000 31,000 9.122 2,804 3.70 - 2.08

2025 STD-HP-32K(SR) S4-W36R43FA REVERSO INVERTER 15,000 32,000 9.417 2,895 3.70 - 2.40

Sub Total 200,000 - 20.09

2026 STD Win-CO-09K TBD FRIO INVERTER 10,000 8,500 2.501 815 3.56 - 0.52

2026 STD-CO-09K S4-Q09WA5WB FRIO INVERTER 10,000 9,000 2.648 815 3.77 - 0.69

2026 STD-HP-09K S4-W09WA5WA REVERSO INVERTER 10,000 9,000 2.648 815 3.77 - 0.69

CDM-PDD-FORM

Version 10.1 Page 69 of 71

Sales

year sort Model Function Type sales

Cooling

Capacity

Consumed

Electrical

Power

(W/hr)

EER Refrigerants(kg)

BTU/hr Kw/hr W/W R410a R32

2026 Window 10k W3NQ10UNNP0 FRIO INVERTER 10,000 9,500 2.796 910 3.56 - 0.31

2026 STD Win-CO-12K TBD FRIO INVERTER 10,000 11,000 3.237 1,050 3.57 - 0.60

2026 ART-HP-12K S4-W12JARPA REVERSO INVERTER 10,000 12,000 3.531 1,085 3.77 - 0.85

2026 STD-CO-12K S4-Q12JA3WC FRIO INVERTER 10,000 12,000 3.531 1,085 3.77 - 0.85

2026 STD-HP-12K S4-W12JA3WA REVERSO INVERTER 10,000 12,000 3.531 1,085 3.77 - 0.85

2026 STD 127V-CO-

12K S4-Q12JA3WF FRIO INVERTER 10,000 12,000 3.531 1,085 3.77 - 0.85

2026 Window 14k W3NQ15LNNP0 FRIO INVERTER 10,000 14,000 4.120 1,250 3.82 - 0.44

2026 STD Win-CO-18K TBD FRIO INVERTER 10,000 16,500 4.855 1,580 3.56 - 1.00

2026 ART-HP-18K S4-W18KLRPA REVERSO INVERTER 10,000 18,000 5.297 1,630 3.77 - 1.23

2026 STD-CO-18K S4-Q18KL3WB FRIO INVERTER 10,000 18,000 5.297 1,630 3.77 - 1.20

2026 STD-HP-18K S4-W18KL3WA REVERSO INVERTER 10,000 18,000 5.297 1,630 3.77 - 1.23

2026 ART-HP-24K S4-W24KERP1 REVERSO INVERTER 10,000 22,000 6.474 1,990 3.77 - 1.45

2026 STD-CO-24K S4-Q24K23WD FRIO INVERTER 10,000 22,000 6.474 1,980 3.79 - 1.40

2026 STD-HP-24K S4-W24KE3W1 REVERSO INVERTER 10,000 22,000 6.474 1,990 3.77 - 1.45

2026 STD-HP-31K S4-W31V43B1 REVERSO INVERTER 15,000 31,000 9.122 2,804 3.77 - 2.08

2026 STD-HP-32K(SR) S4-W36R43FA REVERSO INVERTER 15,000 32,000 9.417 2,895 3.77 - 2.40

Sub Total 200,000 - 20.09

2027 STD Win-CO-09K TBD FRIO INVERTER 10,000 8,500 2.501 815 3.63 - 0.52

2027 STD-CO-09K S4-Q09WA5WB FRIO INVERTER 10,000 9,000 2.648 815 3.84 - 0.69

2027 STD-HP-09K S4-W09WA5WA REVERSO INVERTER 10,000 9,000 2.648 815 3.84 - 0.69

2027 Window 10k W3NQ10UNNP0 FRIO INVERTER 10,000 9,500 2.796 910 3.63 - 0.31

2027 STD Win-CO-12K TBD FRIO INVERTER 10,000 11,000 3.237 1,050 3.65 - 0.60

2027 ART-HP-12K S4-W12JARPA REVERSO INVERTER 10,000 12,000 3.531 1,085 3.85 - 0.85

2027 STD-CO-12K S4-Q12JA3WC FRIO INVERTER 10,000 12,000 3.531 1,085 3.85 - 0.85

2027 STD-HP-12K S4-W12JA3WA REVERSO INVERTER 10,000 12,000 3.531 1,085 3.85 - 0.85

2027 STD 127V-CO-

12K S4-Q12JA3WF FRIO INVERTER 10,000 12,000 3.531 1,085 3.85 - 0.85

2027 Window 14k W3NQ15LNNP0 FRIO INVERTER 10,000 14,000 4.120 1,250 3.90 - 0.44

2027 STD Win-CO-18K TBD FRIO INVERTER 10,000 16,500 4.855 1,580 3.63 - 1.00

2027 ART-HP-18K S4-W18KLRPA REVERSO INVERTER 10,000 18,000 5.297 1,630 3.84 - 1.23

2027 STD-CO-18K S4-Q18KL3WB FRIO INVERTER 10,000 18,000 5.297 1,630 3.84 - 1.20

2027 STD-HP-18K S4-W18KL3WA REVERSO INVERTER 10,000 18,000 5.297 1,630 3.84 - 1.23

2027 ART-HP-24K S4-W24KERP1 REVERSO INVERTER 10,000 22,000 6.474 1,990 3.85 - 1.45

2027 STD-CO-24K S4-Q24K23WD FRIO INVERTER 10,000 22,000 6.474 1,980 3.87 - 1.40

2027 STD-HP-24K S4-W24KE3W1 REVERSO INVERTER 10,000 22,000 6.474 1,990 3.85 - 1.45

2027 STD-HP-31K S4-W31V43B1 REVERSO INVERTER 15,000 31,000 9.122 2,804 3.85 - 2.08

2027 STD-HP-32K(SR) S4-W36R43FA REVERSO INVERTER 15,000 32,000 9.417 2,895 3.85 - 2.40

Sub Total 200,000 20.09

2028 STD Win-CO-09K TBD FRIO INVERTER 10,000 8,500 2.501 815 3.70 - 0.52

2028 STD-CO-09K S4-Q09WA5WB FRIO INVERTER 10,000 9,000 2.648 815 3.92 - 0.69

2028 STD-HP-09K S4-W09WA5WA REVERSO INVERTER 10,000 9,000 2.648 815 3.92 - 0.69

2028 Window 10k W3NQ10UNNP0 FRIO INVERTER 10,000 9,500 2.796 910 3.71 - 0.31

2028 STD Win-CO-12K TBD FRIO INVERTER 10,000 11,000 3.237 1,050 3.72 - 0.60

2028 ART-HP-12K S4-W12JARPA REVERSO INVERTER 10,000 12,000 3.531 1,085 3.93 - 0.85

2028 STD-CO-12K S4-Q12JA3WC FRIO INVERTER 10,000 12,000 3.531 1,085 3.93 - 0.85

2028 STD-HP-12K S4-W12JA3WA REVERSO INVERTER 10,000 12,000 3.531 1,085 3.93 - 0.85

2028 STD 127V-CO-

12K S4-Q12JA3WF FRIO INVERTER 10,000 12,000 3.531 1,085 3.93 - 0.85

2028 Window 14k W3NQ15LNNP0 FRIO INVERTER 10,000 14,000 4.120 1,250 3.98 - 0.44

2028 STD Win-CO-18K TBD FRIO INVERTER 10,000 16,500 4.855 1,580 3.71 - 1.00

2028 ART-HP-18K S4-W18KLRPA REVERSO INVERTER 10,000 18,000 5.297 1,630 3.92 - 1.23

2028 STD-CO-18K S4-Q18KL3WB FRIO INVERTER 10,000 18,000 5.297 1,630 3.92 - 1.20

2028 STD-HP-18K S4-W18KL3WA REVERSO INVERTER 10,000 18,000 5.297 1,630 3.92 - 1.23

2028 ART-HP-24K S4-W24KERP1 REVERSO INVERTER 10,000 22,000 6.474 1,990 3.92 - 1.45

2028 STD-CO-24K S4-Q24K23WD FRIO INVERTER 10,000 22,000 6.474 1,980 3.94 - 1.40

2028 STD-HP-24K S4-W24KE3W1 REVERSO INVERTER 10,000 22,000 6.474 1,990 3.92 - 1.45

2028 STD-HP-31K S4-W31V43B1 REVERSO INVERTER 15,000 31,000 9.122 2,804 3.92 - 2.08

2028 STD-HP-32K(SR) S4-W36R43FA REVERSO INVERTER 15,000 32,000 9.417 2,895 3.92 - 2.40

Sub Total 200,000 - 20.09

TOTAL 1,406,000

CDM-PDD-FORM

Version 10.1 Page 70 of 71

Appendix 5. Further background information on monitoring plan

All relevant information was provided in the Section B.7.

Appendix 6. Summary report of comments received from local

stakeholders

Not applicable.

Appendix 7. Summary of post-registration changes

Not applicable.

- - - - -

Document information

Version Date Description

10.1 28 June 2017 Revision to make editorial improvement.

10.0 7 June 2017 Revision to:

Improve consistency with the “CDM project standard for project

activities” and with the PoA-DD and CPA-DD forms;

Make editorial improvement.

09.0 24 May 2017 Revision to:

Ensure consistency with the “CDM project standard for project

activities” (CDM-EB93-A04-STAN) (version 01.0);

Incorporate the “Project design document form for small-scale

CDM project activities” (CDM-SSC-PDD-FORM);

Make editorial improvement.

08.0 22 July 2016 EB 90, Annex 1

Revision to include provisions related to automatically additional

project activities.

07.0 15 April 2016 Revision to ensure consistency with the “Standard: Applicability of

sectoral scopes” (CDM-EB88-A04-STAN) (version 01.0).

CDM-PDD-FORM

Version 10.1 Page 71 of 71

Version Date Description

06.0 9 March 2015 Revision to:

Include provisions related to statement on erroneous inclusion

of a CPA;

Include provisions related to delayed submission of a

monitoring plan;

Provisions related to local stakeholder consultation;

Provisions related to the Host Party;

Make editorial improvement.

05.0 25 June 2014 Revision to:

Include the Attachment: Instructions for filling out the project

design document form for CDM project activities (these

instructions supersede the "Guidelines for completing the

project design document form" (Version 01.0));

Include provisions related to standardized baselines;

Add contact information on a responsible person(s)/ entity(ies)

for the application of the methodology (ies) to the project activity

in B.7.4 and Appendix 1;

Change the reference number from F-CDM-PDD to CDM-PDD-

FORM;

Make editorial improvement.

04.1 11 April 2012 Editorial revision to change version 02 line in history box from Annex

06 to Annex 06b.

04.0 13 March 2012 Revision required to ensure consistency with the “Guidelines for

completing the project design document form for CDM project

activities” (EB 66, Annex 8).

03.0 26 July 2006 EB 25, Annex 15

02.0 14 June 2004 EB 14, Annex 06b

01.0 03 August 2002 EB 05, Paragraph 12

Initial adoption.

Decision Class: Regulatory

Document Type: Form

Business Function: Registration

Keywords: project activities, project design document