16_B07_NTTData_IndonesiaFSReportingMeeting99

7/28/2019 16_B07_NTTData_IndonesiaFSReportingMeeting99

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MAP-I installed high efficiency inverters to two dust collectors in their aluminum smelting factorywhose power output are 75kW (PJ380) and 315kW (PJ1920) respectively. According todeveloped methodology, we monitored actual data from 2nd to 20th JAN 2013 . CO2 emissionreduction amount of this period (19days) resulted in 8t CO2 (PJ380) and 25tCO2 (PJ1920).

MRV Methodology Application Study for Introduction of Inverters toAluminum Smelting Plant

Survey Items

NEDOs Feasibility Studies with the Aim of Developing a Joint Crediting Mechanism CountryIndonesia SectorIndustry

Survey in Summary

Developing Measurement, Reporting and Verification (MRV)MethodologyApplicability Check and Validation of MRV Methodology byTrusted Third Party

Measurement, Reporting and Verification of GHG EmissionReduction

PT. Molten Aluminum MoltenProducer Indonesia PT Fuji Electric Indonesia

The purpose of this study is to develop MRV methodology for installing inverter control to various facilities like fan ,pump, and so on. In this study, we also examined applicability of this methodology at existing project at MAP-I(PT.Molten Aluminum Molten Producer Indonesia) who installed inverters to two dust collectors.

Reference scenario Emission reductions by projectEstimated Reduction amount Reduction amountAbout 600 tCO2/y

Air volume of dust collectors arecontrolled by dumpersMotors are operated at constantspeed in any situation.

Partner / Site

Electricity

CO2

Emission

Reduction

Reference Project

C

O2 emission

Inverters are installed to dustcollectorsMotors of dust collectors areoperated at variable speed accordingto the required air volume.In this study, electricity consumptionamount decreased by 67%(PJ380)and 52%(PJ1920) respectively.

Proposed byNTT DATA INSTITUTE OF MANAGEMENT CONSULTING, INC,.


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Summary of Introduced Technology

Inverter Inverters are used for achieving energy saving ofpower facilities such as fan, pump and so on.Inverters can control operating frequency of a motor.Electricity consumption of a facility which generatesvarious torque load is proportional to the cube ofrotation frequency, so dropping rotation frequency ofa motor with inverter can reduce large amount ofelectricity consumption.

Inverter control enables them to operate dust collectors by variable speed.As a result, they could reduce electricity consumption amount.

Trend of Aluminum Production and Electricity consumption DEC 2010DEC 2011

292,772 294,272

172,909

221,427

159,545

185,263175,036

141,082

71,782

161,427 159,027

123,163

43,630

0

200

400

600

800

1,000

1,200

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

D ec -1 0 J an -1 1 F eb -1 1 M ar -1 1 A pr -1 1 M ay -1 1 J un -1 1 J ul -1 1 A ug -1 1 S ep -1 1 O kt -1 1 N ov -1 1 D es -1 1

Pemakaian Listrik MAPI-2

L ist ri k MA PI- 2 ( Kwh ) P rod uk Yo to ( To n)

(ton)(kWh)

Before After



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Contents of the Feasibility Studies

DevelopingMeasurement,Reporting andVerification (MRV)Methodology

This study aims to develop MRV methodology which is widelyand easily applicable for inverter installation.Considering difficulty of acquiring historical data of actualelectricity consumption, we examined applicability of usingnameplate capacity of motors as alternative data.Also calculation method based on theoretical equation ofenergy efficiency achieved by inverter is examined, but thismethod is not adopted this time due to the differencebetween calculation results using this equation and actuallymeasured data.Calculation method of using nameplate capacity is applied atexisting project at MAP-I (as shown below).


Project ScenarioWith installing inverter

Reference Scenario Without installing inverter

REy = ELRE * EFgrid,yELRE = ECbefore *PJ * 0.5 / 1,000

REy CO2 emission amount from reference scenario tCO2ELRE Electricity consumption amount of facility in reference scenario MWh

EFgrid,y CO2 emission factor for grid tCO2/MWh

ECbefore Rated Power consumption of facility (ex. Motor output ) kWPJ Operational hours of facility after project implemented h

0.5 Coefficient regarding motor load factor

PEy = ELPJ * EFgrid,

PEy CO2 emission amount from project scenario tCO2

ELPJ Electricity consumption amount of facility in project scenario MWhEFgrid,y CO2 emission factor for grid tCO2/MWh

Reference Scenario Without installing inverter

Project ScenarioWith installing inverter


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ApplicabilityCheck andValidation of MRVmethodology byTrusted Third Party

Measurement,Reporting andVerification of GHGemission reduction

For measurement and reporting, MAP-I organizedimplementing structure.TentativeCO2 emission reduction amount ofmonitored period (from 2nd to 20th JAN 2013 )resulted in 8t CO2 (PJ380) and 25tCO2 (PJ1920).JQA pointed out incomplete in accuracy controlrequired for meters, recording method and so on.We examined countermeasures for applying newinverter installation project to JCM.

JQA (Japan Quality Assurance Organization )conducted applicability check and validation of MRVmethodology.Most of items in a check list are qualified atapplicability check .Items regarding QA/QC (calibration or cross checkingetc)are left unqualified.



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1. Input after project implemented

Explanation of Data Value Un itElectricity consumption amount of facility in project scenario 5 MWh

Operational hours of facility after project implemented 410 h

2. Input before project implemented

Explanation of Data Value Un itElectricity consumption amount of facility 75 kW

3. CO2 Emission Reduction

CO2 Emission Reduction8 tCO2

Value

1. Calculation Result of CO 2 Emission Reduction Value Un it ParmeterEmission Reduction 8 tCO2 ERy

2. Selected defalut value, etc

Carbon emission factor of Electricity Electricity 0.741 tCO2/MWh EFgrid,y

3. Calculation Result of Reference Emission

Reference Emission 12 tCO2 REy

Power consumption of facility Rated Power 75 kW ECbefore

Coefficient regarding motor load factor 0.5 -

Operational hours of facility after project implemented 410 h PJ


4. Calculation Result of Proje ct Emission

Project Emission 4 tCO2 PEy

Electricity consumption amount of facility in project scenario Electricity 5 MWh ELPJ



Calculation result of CO2 emission reduction(as of Jan 2 Jan 20) for

PJ380 is as below; This calculation uses PLNs emission factor tentatively,because we do not acquire data yet from Tata Jabar who

supplies electricity to MAP-I.


67%

Date TimeOperating

hour

Indicated value

(kWh)

Electircity

Consumption

(kWh)

1/2/13 8:40 15.3 15014

1/3/13 8:40 24 15519 505

1/4/13 8:40 24 15800 281

1/5/13 8:40 24 16126 326

1/6/13 8:40 24 16481 355

1/7/13 8:40 24 16978 497

1/8/13 8:40 24 17095 117

1/9/13 8:40 24 17224 129

1/10/13 8:40 24 17618 394

1/11/13 8:40 24 17928 310

1/12/13 8:40 24 18260 332

1/13/13 8:40 24 18465 205

1/14/13 8:40 24 18766 301

1/15/13 8:40 24 19075 309

1/16/13 8:40 24 19365 290

1/17/13 8:40 24 19810 445

1/18/13 8:40 23 20018 208

1/19/13 8:40 3 20061 43

1/20/13 8:40 8.7 20181 120


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1. Input after project implemented

Explanation of Data Value UnitElectricity consumption amount of facility in project scenario 31 MWh

Operational hours of facility after project implemented 410 h

2. Input before project implemented

Explanation of Data Value UnitElectricity consumption amount of facility 315 kW

3. CO2 Emission Reduction

CO2 Emission Reduction25 tCO2

Unit

1. Calculation Result of CO2 Emission Reduction Va lu e U n it Parmete rEmission Reduction 25 tCO2 ERy

2. Selected defalut value, etc

Carbo n emissio n factor of Ele ctricity Ele ctricity 0.741 tCO2/MWh EFgrid,y

3. Calculation Result of Refe rence Emission

Reference Emission 48 tCO2 REy

Power consumption of facility Rated Power 315 kW ECbefore

Coefficient regarding motor load factor 0.5 -

Operational hours of facility after project implemented 410 h PJ

Carbon e mis sio n f ac to r o f Ele ctric ity Ele ctric ity 0.741 tCO2/MWh EFgrid,y

4. Calculation Result of Project Emission

Project Emission 23 tCO2 PEy

Electricity consumption amount of facility in project scenario Electricity 31 MWh ELPJ

Carbon e mis sio n f ac to r o f Ele ctric ity Ele ctric ity 0.741 tCO2/MWh EFgrid,y

Date TimeOperating

hour

Indicated value

(kWh)

Electircity

Consumption

(kWh)

1/2/13 8:40 15.3 60100

1/3/13 8:40 24 62015 1915

1/4/13 8:40 24 64002 1987

1/5/13 8:40 24 65828 18261/6/13 8:40 24 67688 1860

1/7/13 8:40 24 69562 1874

1/8/13 8:40 24 71403 1841

1/9/13 8:40 24 73254 1851

1/10/13 8:40 24 74979 1725

1/11/13 8:40 24 76752 1773

1/12/13 8:40 24 78541 1789

1/13/13 8:40 24 80343 1802

1/14/13 8:40 24 81962 1619

1/15/13 8:40 24 83772 1810

1/16/13 8:40 24 85539 1767

1/17/13 8:40 24 87366 1827

1/18/13 8:40 23 89065 1699

1/19/13 8:40 3 90038 973

1/20/13 8:40 8.7 90734 696

Calculation result of CO2 emission reduction(as of Jan 2 Jan 20) for

PJ1920 is as below; This calculation uses PLNs emission factor tentatively,because we do not acquire data yet from Tata Jabar who

supplies electricity to MAP-I.


52%


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Key Result and OutcomeMRV Methodologies and Estimated Emission Reduction

Prospect for the Project etc

(Explanation)Considering difficulty of acquiringhistorical data of electricity consumption,we examined applicability of usingnameplate capacity of motors asalternative data.Calculation method of using nameplatecapacity is applied at existing project atMAP-I.MRV methodologies are revised based oncomments from JQA in a process ofapplicability check

(Explanation)MAP-I estimates that PBP of this projectis within 12 months.Following this result, they plan to installinverters to other power facilities in theirfactory.

(Result)For calculation using nameplate data, weset conservative coefficient 0.5considering load factor of motors.Annual CO2 emission reduction amountat MAP-I is estimated at about 600 tCO2/ year, from the result of this study.Further consideration for QA/QC issuesshall be required in JCM ( For example,installing additional meters for doublechecking.)

(Outcome)In a new project, we are now examiningadditional countermeasures for JCMsuch as installing certified meters or datacollection systemAlthough the assumed penetration rateof inverter in Indonesia is only severalpercent, electricity tariff increase by PLNthis year will accelerate inverterinstallation at each factory.


16_B07_NTTData_IndonesiaFSReportingMeeting99

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