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ANALYSIS ON ENERGY SAVING POTENTIAL IN EAST ASIA REGION
Cecilya MalikERIA Working Group on Energy Saving Potential
BACKGROUND The Leaders of the 16 countries of the East Asia Summit (EAS)
signed the Cebu Declaration on East Asia Energy Security at the 2nd
EAS Meeting held in Singapore on 15 January 2007. As a respond, the East Asia Summit (EAS) Energy Cooperation Task
Force (ECTF) was established on 1 March 2007 focusing initially onthree areas for cooperation, (i) Energy Efficiency & Conservation; (ii)Energy Market Integration; and (iii) Bio-fuels for transport and forother purposes
As one of the co-chairs for the Energy Efficiency and Conservation(EE&C) Work Stream Japan proposed to undertake a study of theenergy savings and CO2 emission reduction potential in the EASregion.
In view of this, a Working Group Working Group for Analysis onEnergy Saving Potential in East Asia Region was created in 2007 aspart of the studies of the Economic Research Institute for ASEANand East Asia (ERIA).
ECONOMIC RESEARCH INSTITUTE FOR ASEAN AND EAST ASIA (ERIA)
RESEARCH PROGRAMS FOR THE HARMONIOUS INTEGRATION IN ASEAN AND EAST ASIA
WORKING GROUP FOR ANALYSIS ON ENERGY SAVING POTENTIAL IN EAST ASIA REGIONObjectives To estimate the energy savings potential in East
Asia region based on:◦ Projected energy demand in future◦ Individual energy efficiency and conservation targets and
action plans of East Asian countries To assess the energy saving potential of such
targets and effectiveness of action plans by using a computer model.
To identify areas where energy saving programs are more effective.
APPROACH
Summarize the energy saving targets and action plans of East Asian countries and estimate energy saving potential induced by the targets and plans
Apply scenario analysis Reference Scenario (RS): BAU case Alternative Policy Scenario (APS): Energy Efficiency and
Conservation Promotion case Estimate energy conservation potential as defined below:
Potential = RS – APS in terms of PES or FEC PES: Primary Energy Supply FEC: Final Energy Consumption
IEEJ energy outlook model or national models can be applied for the above analysis.
CURRENT SCENARIO APPROACH USING TWO ENERGY OUTLOOKS, BAU AND APS
Assumptions: GDP, Population, Oil priceExisting energy policy & plan
Energy consumption of BAU
Econometrics model
Energy saving target and action plans
Energy consumption of APS
Energy saving potential = BAU - APS
MODEL STRUCTUREEconomic Growth Targets
Industry
Power generation
Primary Energy
GDP, Crude oil price, Exchange rate,Population, Power generation outlook, thermal efficiencies, etc.Transport Other
Final Consumption
Oil Refinery
Coal Products
For APS, Primary energy intensity targets or detailed sectoral energy saving goals, thermal efficiences and use of biof-uels
MEMBERS AND TASKS OF THE WORKING GROUPMembers Consists of 16 members from each country, having appropriate
experience in the preparation of energy outlooks in their respective countries
Tasks The members are requested to do followings works:
◦ Choice of outlook model, IEEJ or national◦ Model assumptions
Macro economic assumptions Energy saving goals and action plans
◦ Make energy outlooks, BAU and APS, using a national model◦ Make a summary table◦ Discuss the action plans and useful efficiency indicators◦ Extract policy recommendation to ECTF
WG OUTCOMEShttp://www.eria.org/research/no6-1.html ERIA RESEARCH PROJECT 2007 No. 6-1: Analysis on
Energy Saving Potential in East Asia Regionhttp://www.eria.org/research/y2008-no8-1.html ERIA Research Project Report 2008 No. 8-1: Analysis on
Energy Saving Potential in East Asia Regionhttp://www.eria.org/research/y2009-no11.html ERIA RESEARCH PROJECT 2009 No. 11: Analysis on
Energy Saving Potentialhttp://www.eria.org/research/y2010-no21.html ERIA RESEARCH PROJECT 2010 No. 21: Analysis on
Energy Saving Potential in East Asia
ANALYSIS ON ENERGY SAVING POTENTIAL IN EAST ASIA REGION2010
REASSESSMENT OF ENERGY SAVING POTENTIAL
0.9
2.1
1.7
0.5
1.2
1.0
-0.4
1.61.8
1.7
0.8
1.4
1.0
0.5
0.9 0.8
0.04
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
2.5
AUS BRN KHM CHN IND INA JPN KOR LAO MAS MMR NZL PHI SIN THA VNM Total
Po
pu
latio
n G
row
th R
ate
(%
/ye
ar)
2.6
3.8
7.5 7.78.1
6.2
1.4
3.3
7.6
4.6
9.6
2.0
5.9
3.9 4.0
7.6
4.6
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
10.0
11.0
AUS BRN KHM CHN IND INA JPN KOR LAO MAS MMR NZL PHI SIN THA VNM Total
Rea
l GD
P G
row
th R
ate
(%/y
ear)
12
Macro Assumptions: Population and GDP (2000 constant price)
Population Economic Growth
REASSESSMENT OF ENERGY SAVING POTENTIAL CRUDE OIL PRICE VEHICLE OWNERSHIP
0
25
50
75
100
125
150
175
200
2000 2005 2010 2015 2020 2025 2030
US
$/b
arr
el
Nominal 2010 US$
Number of Road Vehicles(millions)
13
Country 2005 2030
Australia 13.5 21.6
China 31.6 206.2
India 15.4 112.7
Japan 74.2 78.3
Korea 10.8 19.2
New Zealand
3.0 4.2
REASSESSMENT OF ENERGY SAVING POTENTIAL
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
5,000
5,500
BAU APS
1990 2005 2030NON-ASEAN 1,019 1,690 4,426 3,772
ASEAN 111 252 908 756
MT
OE
5,334
4,528
1,130
1,943
-806 Mtoe,
14
TFEC TFEC by Sector
REASSESSMENT OF ENERGY SAVING POTENTIAL
2,146
8111,024
547
823
2,473
384
1,025
508
1,266
229
569
0
500
1,000
1,500
2,000
2,500
3,000
BA
U
AP
S
BA
U
AP
S
BA
U
AP
S
BA
U
AP
S
'05 '30 '05 '30 '05 '30 '05 '30
Industry Transport Others Non-Energy
Fin
al E
ne
rgy C
on
su
mp
tio
n b
y S
ecto
rs (
Mto
e)
APSBAU
-13.2%
-20.9%
-19.1%
-3.8%
15TFEC by Sector (East Asia) TFEC by Sector (ASEAN)
REASSESSMENT OF ENERGY SAVING POTENTIAL
492
1,331
857
1,872
129
545 546
1,586
1,155
1,549
455
1,368
0
200
400
600
800
1,000
1,200
1,400
1,600
1,800
2,000
BAU APS BAU APS BAU BAU APS
'05 '30 '05 '30 '05 '30 '05 '30
Coal Oil Gas Electricity etc
Fin
al E
ne
rgy C
on
su
mp
tio
n b
y E
ne
rgy (
Mto
e) -13.7%
-16.5%
-17.2%
-13.2%
16
TFEC by Energy (East Asia TFEC by Energy (ASEAN)
0
50
100
150
200
250
300
350
400
450
500
BAU APS BAU APS BAU APS BAU APS
'05 '30 '05 '30 '05 '30 '05 '30
Coal Oil Gas OtLers
Mil
lio
n T
on
s o
f O
il E
qu
iva
len
t
-21%
-17.2%
-12.5%
REASSESSMENT OF ENERGY SAVING POTENTIAL
3,421
1,629
8191,230
1,570
4,629
1,016
1,985
303
1,020
459
1,031
-500
500
1,500
2,500
3,500
4,500
5,500
BAU
APS
BAU
APS
BAU
APS
BAU
APS
'05 '30 '05 '30 '05 '30 '05 '30
Coal Oil Gas Others
Prim
ary E
nerg
y Dem
and (
Mtoe
)
APSBAU
-26.1%
-17.9%
-19.8% +19.2%
17
TPES
TPES by Fuel
0
100
200
300
400
500
600
BAU APS BAU APS BAU APS BAU APS
'05 '30 '05 '30 '05 '30 '05 '30
Coal Oil Gas Others
Mill
ion
Tons
of O
il Eq
uiva
lent
31.5%
-16.4%
-19.2%
-5.4%
East Asia
ASEAN
REASSESSMENT OF ENERGY SAVING POTENTIAL
BAU APS APS/BAU
2005/2030 BAU
2005/2030 APS
(toe/million US$)
(toe/million US$)
(toe/million US$) % % %
Australia 260 205 205 0.0 -21.2 -21.2Brunei Darussalam 397 321 255 -20.7 -19.2 -35.9Cambodia 228 245 215 -12.2 7.5 -5.6China 795 418 341 -18.4 -47.4 -57.1India 589 298 227 -23.8 -49.4 -61.4Indonesia 650 581 433 -25.5 -10.6 -33.4Japan 104 72 64 -11.3 -30.7 -38.5Korea 342 223 179 -19.6 -34.6 -47.5Lao PDR 193 412 388 -5.9 113.8 101.2Malaysia 558 346 301 -13.0 -38.0 -46.0Myanmar 439 171 159 -7.0 -61.0 -63.8New Zealand 247 183 164 -10.5 -25.8 -33.6Philippines 358 304 278 -8.6 -15.0 -22.3Singapore 241 152 148 -2.6 -37.0 -38.7Thailand 630 590 463 -21.5 -6.3 -26.5Viet Nam 609 560 523 -6.5 -8.1 -14.1Total 334 301 245 -18.6 -9.9 -26.7
2030 Variance2005
18
Energy Intensity by Country
REASSESSMENT OF ENERGY SAVING POTENTIAL
9051,334
2,539
6,812
5,106
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
BAU APS
1980 1990 2005 2030
CO
2 E
mis
sio
n (
Mt-
C)
-1706 Mt-C, -25.0%
0.85
0.75
0.53
0.62
0.79
0.72
0.92
0.85
0.85
0.80
0.67
0.74
0.64
0.52
0.62
0.54
0.71
0.94
0.63
0.71
0.61 0.6
3
0.57
0.53
0.48
0.56
0.37
0.38
0.58
0.46
0.84
0.84
0.80
0.78
0.75
0.62
0.72
0.79
0.73
0.69
0.47
0.44
0.97
0.67
0.63
0.38
0.49
0.43
0.40
0.74
0.72
0.0
0.2
0.4
0.6
0.8
1.0
1.2
BAU
APS
BAU
APS
BAU
APS
BAU
APS
BAU
APS
BAU
APS
BAU
APS
BAU
APS
BAU
APS
BAU
APS
BAU
APS
BAU
APS
BAU
APS
BAU
APS
BAU
APS
BAU
APS
BAU
APS
'05 '30 '05 '30 '05 '30 '05 '30 '05 '30 '05 '30 '05 '30 '05 '30 '05 '30 '05 '30 '05 '30 '05 '30 '05 '30 '05 '30 '05 '30 '05 '30 '05 '30
AUS BRN KHM CHN IND IDN JPN KOR LAO MYS MMR NZL PHL SGP THA VNM EAS
CO2 E
miss
ion pe
r Unit
of P
rimar
y Ene
rgy (
t C/to
e)
BAUAPS
19
CO2 Emission CO2 Emission / TPES
SUMMARY Key Findings
Sustained population and economic growth will lead to significant increases in energy demand and greenhouse gas emissions.
Due to significant increase of electricity demand and road transport fuel, advanced energy efficient and low emission technologies need to be widely deployed throughout the region.
The current energy efficiency goals and action plans reported by the EAS countries could lead to significant energy saving and reduction of CO2 emissions.
The diversification of the regional energy mix, which shifts from coal & oil to biomass & nuclear, will contribute to the improvement in the regional energy security as well as carbon intensity.
The industry and transport (especially road) sectors are challenging sectors in terms of improving energy efficiency and reducing CO2 emissions.
20
SUMMARY
Policy Implications Energy efficiency & conservation and renewable
energy policies Policymakers should set and continuously improve the energy
saving goals and action plans for each sub-sector. Policy mechanisms, which include incentives, should contribute
to promote the use of renewable energy and implementation of energy efficiency and conservation.
Policies to remove subsidies to fossil fuels also need to be formulated.
Shift from 1st generation sources of biofuels to 2nd and 3rd
generation sources need to be considered in order to avoid competition for land between food and energy production.
21
SUMMARY
Policy Implications Carbon emission mitigation
CCT along with CCS technology are key options for maintaining energy security and climate change mitigation through wiser use of coal.
Improved vehicle fuel economy and increased alternative fuel vehicles will slow oil demand growth and improve oil supply security of this region.
Carbon pricing and provision of subsidies for application of low emission technologies such as solar PV and low emission vehicles are measures to reduce CO2 emissions.
Enhancing reliable energy statistics More reliable energy statistics, especially end-use data, is
needed for a robust analysis of energy saving potential applying appropriate benchmarks.
22
2 SUB-WORKING GROUPS AND5 SATELLITE PROJECTS 2 sub-working groups
Energy efficiency design SWG Nuclear power study SWG
Satellite projects Energy conservation in Eastern-Asian steel industry by JFE-TRC Data collection on road transport activities in India and Thailand by JARI
and MRI Engineering network for advancement of energy productivity in East Asia by
NRI Research projects for improving “CO2 mitigation roadmap” in Indonesia by
MRI Clean coal technology by IEEJ
Purpose: The sub-groups and projects will feedback their research outcomes to this WG and this WG will apply the outcomes to improve energy saving potential through increasing accuracy of the energy outlooks both BAU and APS.
OTHER OUTCOMES
Pilot Study on Energy Consumption Survey in Residential Sector China and ASEAN 10 Countries
Snapshot Study on Energy Saving Potential in Specific Sectors applying the Technology Approach Cement sector Road transport sector Household sector Building sector
24
SNAPSHOT STUDY IN SPECIFIC SECTOR Objective:
Analyze energy saving potential in a specific sector applying a bottom-up approach or technology approach
Selected sectors: Cement sub-sector in Vietnam Road transport sector in Singapore Appliances in residential sector in Lao PDR Building sub-sector in Thailand
Outcome: The Bottom-up approach is useful to assess
appropriateness of current energy saving targets and action plans from EAS countries
25
Residential sector in Lao PDR
0
20
40
60
2030SNAPSHOT STUDY IN SPECIFIC SECTOR
CEMENT SECTOR IN VIETNAM ROAD TRANSPORT SECTOR IN SINGAPORE-ESP BY POLICY: 0MTOE IN 2030-ESP BY BOTTOM-UP: 2KTOE IN 2030-DIVERSIFICATION FROM ORDINARY CARS TO MORE EFFICIENT CARS TAKES TIME
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
2030
ESP by Bottom-up: 1.6 Mtoe
ESP by Policy: 4.3 Mtoe
Wet &drykiln to EEdry kiln
ESP in Res&Com by Policy: 54 Ktoe
Elec. SP in Res by Bottom-up: 11 Ktoe
37%
20%
More efficientappliances
0
1
2
3
4
5
6
7
8
9
10
2030
Building sector in ThailandESP in Res&Com by Policy: 9 Mtoe
ESP in Building by Bottom-up: 2 Mtoe20%
More efficiency inair conditioning,lighting and others
26
SNAPSHOT STUDY IN SPECIFIC SECTOR
CO2 emissions from transport sector in the reference scenario are predicted to increase steadily.
Introduction
60%20%
9%
5%6%
India
Power generation Industry transport residential Other sectors
1427.6 million tons
Transport sector
41%
29%
22%
4%4%ASEAN
1039.2million tons
0
100
200
300
400
500
600
700
800
900
1000
2008 2015 2020 2025 2030
CO2 Emissions from Transport Sectorin the Reference Scenario
India ASEANmillion tons
Source : IEA, CO2 Emissions From Fuel Combustion (2010 Edition),World Energy Outlook 2009
Transport sector
CO2 Emissions by Sector
COLLABORATION WITH APERC
APERC presented its CEEDS project. APERC conducts CEEDS in addition to PREE. CEEDS focus on sector wise energy efficiency and
conservation issues. APERC will hold two workshops for CEEDS. APERC and this
WG will explore the possibility to hold APERC and ERIA joint workshops.
It is confirmed that APERC and this WG continues to cooperate in terms of information sharing.
29
THANK YOU