EEI in Residential sector - Microsoft · * Temperature correction using heating degree days Data...

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Energy efficiency indicators in the residential sector Mafalda Silva Energy efficiency indicators Jakarta, 16-20 July 2018 IEA

Transcript of EEI in Residential sector - Microsoft · * Temperature correction using heating degree days Data...

Page 1: EEI in Residential sector - Microsoft · * Temperature correction using heating degree days Data source: IEA, Energy efficiency indicators. 60 70 80 90 100 110 120 130 ... EEI in

Energy efficiency indicators in the

residential sector

Mafalda Silva Energy efficiency indicators

Jakarta, 16-20 July 2018

IEA

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Why is the residential sector important?

It determines our quality of life!

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Overview

What we can learn from energy balances (wrap up from yesterday)?

What can we learn from energy efficiency indicators?

Developing energy efficiency indicators – discussion

How to perform temperature correction?

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What we can learn from

energy balances?

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Fuel mix in residential sector

Fuel mix in the residential sector varies across countries

Source: IEA Energy Balances, 2018

54%

12%

17%

17%

Malaysia

15%

4%

42%

39%

Vietnam

Natural Gas

Electricity

Oil

Others

Biofuels and Waste

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Sectoral shares in Asian focus region1 and IEA

In the Asian focus region, the residential sector accounts for ~29% of final energy consumption

Source: IEA Energy Balances, 2018

1 Asian focus region: Brunei, Cambodia, Indonesia, Malaysia, Myanmar,

Philippines, Thailand, Vietnam

2 Other includes agriculture, forestry, fishing and non-specified final

consumption

TFC – Total final consumption excluding non-energy use

Industry

24%

Transport

37%

Residential

21%

Services

15%

Other2

3%

IEA, 2016

Industry

31%

Transport

31%

Residential

29%

Services

6%

Other2

3%

Asian focus region, 2016

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High level indicators trends

Source: IEA Energy Balances, 2018

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

[to

e p

er

cap

ita]

Energy consumption in residential

sector/population

2000

2016

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Efficiency indicators explain basic consumption patterns

Data for IEA 20 (Australia, Austria, Canada, Czech Republic, Denmark, Finland, France, Germany, Hungary, Ireland, Italy, Japan, Netherlands, Norway,

Slovakia, Spain, Sweden, Switzerland, UK, USA).

* Temperature correction using heating degree days

Data source: IEA, Energy efficiency indicators.

60

70

80

90

100

110

120

130

1990 1995 2000 2005 2010

Ind

ex

(19

90

=10

0)

Total Residential (PJ)

Total Residential percapita

Total Residential perdwelling

Total Residential TC* perdwelling

Residential Space HeatingTC* per dwelling

Residential Space HeatingTC* per floor area

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Final consumption – data coverage ambition

Source: IEA Energy Efficiency Indicators, 2016

Energy efficiency indicators

Manufacturing

Residential

Transport

Services

Other

industries*

Iron and steel

Chemical and

petrochemical

Food and tobacco

Wood and wood

products

Textile and leather

etc.

Services

Mining

Construction

Agriculture

Fishing

etc.

Passenger

cars

Space heating

Space cooling

Water heating

Lighting

etc.

Energy balance

Transport

Services

Other industries*

Manufacturing

Residential

Trucks

Buses

Motorcycles

Passenger rail

Freight rail

Passenger ships

Freight ships

Passenger

airplanes

Freight airplanes

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What else do we need to know?

• What end use consume most of the

energy (cooking/heating…)?

• Which aspect of our life will be affected

in case of electrical blackout?

• What is the share of LPG used for

cooking?

• Are we using energy for space heating

more efficiently over time?

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What can we learn from

energy efficiency indicators?

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With more detailed data we can see where energy is used

Source: IEA, Energy Efficiency Indicators: Fundamentals on statistics, 2014

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Example of insights from end use data: residential sector

Example of shares of end -uses on energy consumption Example of selected energy intensities

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Understanding the trends - decomposition

Drivers of the variation in the consumption in Philippines (1980-2005)

- Similar approach to IEA decomposition analysis,

at a macroeconomic level - GDP and

Population

- This example does not include more detailed

data: appliances stocks, travel activity data, share

of VA in industry

Source: Finland futures Research centre “Key Trends of Climate Change in the Asean Countries”, 2012

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Developing energy efficiency

indicators - discussion

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Energy efficiency indicators: definition

Generic

Energy Efficiency Indicator

Energy Consumption

Activity

3

2

0

3

5

0

3

7

0

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Data and indicators for the residential sector

Energy consumption data:

Space heating*

Space cooling*

Water heating

Cooking

Lighting

Appliances energy consumption: Refrigerator Freezer Dishwasher Clothes washer Clothes dryer TV Computers

* Temperature corrected, using HDD & CDD

Activity data:

Population

Number of occupied dwellings

Residential floor area

Appliances stock and diffusion

# of people # of dwellings Surface # of appliances

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Pyramid of residential* indicators – What indicator would you choose?

*Note that this disaggregation applies to the total sector, as well as to each of the dwelling types (e.g. detached single-unit houses, semi-detached

dwellings, etc)

Total residential energy consumption (absolute or as a share of TFC)R1a

Total residential energy consumption per capita

R2b Total residential energy consumption per dwelling

R2a

R3a

Share of each energy source in total residential energy consumption mix R1b

End-use energy consumption (absolute or as a share of residential

consumption)

Total residential energy consumption per floor areaR2c

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Pyramid of space cooling indicators – What indicator would you choose?

Total space cooling energy consumption (absolute or as a share of residential consumption)C1a

Space cooling energy consumption per floor area cooledC2b

For each type of space cooling system: space cooling energy consumption per floor area

cooledC3b

For each energy source: space cooling energy consumption per floor area cooledC3c

Space cooling energy consumption per dwelling with air conditioningC2a

For each dwelling type: space cooling energy consumption per floor area cooledC3a

C1bSpace cooling electricity consumption (absolute or as a share of residential electricity

consumption)

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Pyramid of lighting indicators – What indicator would you choose?

Lighting electricity consumption (absolute or as a share of residential electricity consumption)

Lighting energy consumption per capita

Total lighting energy consumption (absolute or as a share of residential consumption)L1a

Lighting energy consumption per dwelling

L2a

Lighting energy consumption per floor areaL2b

For each type of dwelling: lighting energy consumption per dwelling

For each type of dwelling: lighting energy consumption per floor area

L3a

L3b

L2c

L2a

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Pyramid of cooking indicators – What indicator would you choose?

Total cooking energy consumption (absolute or as a share of residential energy consumption)K1a

Cooking energy consumption per capitaK2a

For each energy source: cooking energy consumption per dwellingK3a

Share of each energy source in total cooking energy consumption mixK1b

Cooking energy consumption per dwellingK2b

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Pyramid for appliances indicators – What indicator would you choose?

A1b Total appliances electricity consumption (absolute or as a share of residential electricity consumption)

Total appliances energy consumption (absolute or as a share of residential energy consumption)A1a

Appliances energy consumption per capitaA2a

For each appliance type: energy consumption per appliance unitA3a

Appliances energy consumption per dwelling (and per dwelling with electricity) A2b

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Occupied dwellings vs total dwellings

Primary residences Unoccupied dwellings Vacation homes

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How to perform temperature

correction?

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Temperature correction: cooling degree days

With warmer weather, cooling needs increase (residential and services)

CDD(27Jul-01Ago)= 2+3+7+1= 13

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Temperature correction: adjusting energy consumption

Adjusted energy for cooling (simplified method):

Actual energy for SC (current year) ×

Calculation example:

Average CDD (period)

CDD (current year)

2001 2002 2003

CDD 905 874 1008

Energy for SC (PJ) 20.5 19.2 21.8

Adj. Energy for SC (PJ) 20.5×929÷905 19.2×929÷874 21.8×929÷1008

Avg. CDD: 929

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