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22/03/27 1 Development of Emissions Development of Emissions Scenarios Database for the Scenarios Database for the IPCC Fourth Assessment Report IPCC Fourth Assessment Report and Regional Mitigation and Regional Mitigation Analysis Analysis - A Review of Post-SRES Scenarios - A Review of Post-SRES Scenarios - - International Energy International Energy Workshop 2005 Workshop 2005 5-7, July 2005 5-7, July 2005 National Institute for Environmental Studies Tatsuya HANAOKA Mikiko KAIN UMA Kyoto University Reina KAWASE Yuzuru MATSUO
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23/04/18 1

Development of Emissions Scenarios Development of Emissions Scenarios Database for the IPCC Fourth Assessment Database for the IPCC Fourth Assessment Report and Regional Mitigation AnalysisReport and Regional Mitigation Analysis

- A Review of Post-SRES Scenarios -- A Review of Post-SRES Scenarios -

International Energy Workshop 2005International Energy Workshop 20055-7, July 20055-7, July 2005

National Institute for Environmental Studies   Tatsuya HANAOKA ・ Mikiko KAINUMAKyoto University Reina KAWASE ・ Yuzuru MATSUOKA

23/04/18 2

OverviewOverview

1.1. Background and Previous WorkBackground and Previous Work

2.2. Outline of Emissions Scenarios DatabaseOutline of Emissions Scenarios Database

3.3. Development of Emissions Scenarios DatabaseDevelopment of Emissions Scenarios Database

4.4. Quantitative Analysis.Quantitative Analysis.

5.5. Conclusions and Future WorkConclusions and Future Work

23/04/18 3

Emissions scenarios vary depending on various socio-economic development pathways Morita and Matsuoka started to develop emissions scenarios database since 1992, to contribute for IPCC Assessment

Background and Previous WorkBackground and Previous WorkBackground:

◆ Nakicenovic, and Morita et al (1998) 428 scenarios of global and regional GHG emissions from 176 literature sources◆ Rana, and Morita (2000) 75 scenarios of global and regional GHG emissions from 25 literature sources

Previous results of the Database:

utilized for SRES

utilized for TAR

23/04/18 4

Outline of Emissions Scenarios Database ①Outline of Emissions Scenarios Database ①

http://www-cger.nies.go.jp/cger-e/db/enterprise/scenario/scenario_index_e.html

Category Example inventory

Driving Force Population, GDP, …

Energy Oil, Coal, Gas, …

Emission CO2, CH4, N2O, SOx, NOxSOx, NOx …

Others Energy Intensity, Carbon Intensity, Temperature Change, Sea Level Rise, …

23/04/18 5

Outline of Emissions Scenarios Database ②Outline of Emissions Scenarios Database ②

Data SourceNumber of

data source

Data source reviewed by IPCC SAR etc. 40

Data source described in the scientific literatures and conferences such as EMF, IEW etc.

125

Data source reviewed by SRES process and Post-SRES process

41

Data source of national scenarios described in National Communication submitted to UNFCCC

45

◆ Data source in the current databaseData source in the current database

23/04/18 6

Scope of WorkScope of Work

◆  Update the current Emissions Scenarios DatabaseUpdate the current Emissions Scenarios Database

◆  Analyze various new mitigation scenarios since TARAnalyze various new mitigation scenarios since TAR..

Contribute for Contribute for the IPCC Fourth Assessment Reportthe IPCC Fourth Assessment Report

23/04/18 7

Development of DatabaseDevelopment of Database

 ●  Subject matter:Subject matter: New mitigation scenarios since TARNew mitigation scenarios since TAR ●   ●  Regional scale:Regional scale: Global, regional and national level analysisGlobal, regional and national level analysis

 ●   ●  Temporal scale:Temporal scale: Scenarios with horizons beyond 2030Scenarios with horizons beyond 2030  ●  ●  Gas classifications:Gas classifications: all anthropogenic GHGsall anthropogenic GHGs

CO2, CH4, N2O, CFCs, HCFCs, HFCs, PFCs, SF6, CO,

NMVOC, SOx, NOx and Black Carbon etc ● ●    Sector classifications:Sector classifications: Multi-sector scenariosMulti-sector scenarios

Outline of scenarios of interest:Outline of scenarios of interest:

“Call for Scenarios” was sent to more than one hundred researchers all over the world

23/04/18 8

Outline of the updated DatabaseOutline of the updated Database

Geographical coverage Data source Data source

Multiregional global scenarioMultiregional global scenario 4242 188188

Single global scenarioSingle global scenario 88 3535

Single & multinational regional scenario 4 18

National scenario 7 29

Category Example inventory

Driving Force Population, GDP

Energy Oil, Coal, Gas, Nuclear, Renewable, …

Emission CO2, CH4, N2O, HFCs, PFCs, SF6, SOx, NOx, …

Others Energy Intensity, Carbon Intensity, Temperature Change, Sea Level Rise, Carbon Tax, CCS…

◆ Data source in the updated databaseData source in the updated database

◆ Data objectiveData objective

23/04/18 9

Representative Regional AggregationsRepresentative Regional AggregationsSRES4SRES4 SRES9SRES9 AR13AR13 DescriptionDescription

REFREF REFREFFSUFSU Former Soviet UnionFormer Soviet Union

EEUEEU Eastern EuropeEastern Europe

OECD90OECD90

WEUWEU WEUWEU OECD-EuropeOECD-Europe

NAMNAMCANCAN CanadaCanada

USAUSA USAUSA

PAOPAOANZANZ Australia, New ZealandAustralia, New Zealand

JPNJPN JapanJapan

ASIAASIASPASPA

PASPAS Other Pacific AsiaOther Pacific Asia

SASSAS South AsiaSouth Asia

CPACPA CPACPA Centrally planned Asia and ChinaCentrally planned Asia and China

ALMALM

MEAMEA MEAMEA Middle East and North AfricaMiddle East and North Africa

AFRAFR AFRAFR Sub-Saharan AfricaSub-Saharan Africa

LAMLAM LAMLAM Latin America and the CaribbeanLatin America and the Caribbean

23/04/18 10

Global COGlobal CO22 emission changes from baseline emission changes from baseline

- 100

- 90

- 80

- 70

- 60

- 50

- 40

- 30

- 20

- 10

01990 2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

Year

Glo

bal C

O2

emis

sion

cha

nges

fro

m b

asel

ine

(%)

90%

ran

ge

Median

23/04/18 11

Total COTotal CO22, CH, CH44 and N and N22O emission changes O emission changes

from baseline in 2100from baseline in 2100

- 120- 100- 80- 60- 40- 20

0204060

Wor

ld

OEC

D90

REF

ASI

A

ALM

Wor

ld

OEC

D90

REF

ASI

A

ALM

Wor

ld

OEC

D90

REF

ASI

A

ALM

CO2 CH4 N2O

Emis

sion

s ch

ange

from

bas

elin

e in

210

0 (%

)

Mid- half range MIN mitigation MAX mitigation

23/04/18 12

Evaluation Method: the Kaya identity Evaluation Method: the Kaya identity

AeisAA

Ep

Ep

C

C

CC s

s

C    : Net CO2 emission including CO2 capture and storage.Cs   : Fossil&industrial CO2 emission.Ep   : primary energy consumption.A   : economic activity.S : the ratio of net CO2 emission to generated

CO2 emission.i : carbon intensity (the ratio of generated CO2 emissions

to primary energy consumption).e  : energy intensity (the ratio of total primary energy       consumption to economic activity).

23/04/18 13

GDP growth & Energy Intensity Improvement GDP growth & Energy Intensity Improvement under 550 ppmv Stabilization Scenariosunder 550 ppmv Stabilization Scenarios

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

0.0 1.0 2.0 3.0 4.0 5.0 6.0

annual GDP growth (2000- 2050) (%/ yr)

annu

al E

I im

prov

emen

t (2

000-

2050

) (%/

yr) WORLD

ALMASIAOECD90REF

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

0.0 1.0 2.0 3.0 4.0 5.0 6.0

annual GDP growth (2000- 2100) (%/ yr)

annu

al E

I im

prov

emen

t (2

000-

2100

) (%/

yr) WORLD

ALMASIAOECD90REF

(a)Annual rate from 2000 – 2050 (b)Annual rate from 2000 – 2100

23/04/18 14

GDP growth & Carbon Intensity Reduction GDP growth & Carbon Intensity Reduction under 550 ppmv Stabilization Scenariosunder 550 ppmv Stabilization Scenarios

- 1.0

0.0

1.0

2.0

3.0

4.0

5.0

0.0 1.0 2.0 3.0 4.0 5.0 6.0

annual GDP growth (2000- 2050) (%/ yr)

annu

al C

I red

uctio

n (2

000-

2050

) (%/

yr)

WORLDALMASIAOECD90REF

- 1.0

0.0

1.0

2.0

3.0

4.0

5.0

0.0 1.0 2.0 3.0 4.0 5.0 6.0

annual GDP growth (2000- 2100) (%/ yr)

annu

al C

I red

uctio

n (2

000-

2100

) (%/

yr)

WORLDALMASIAOECD90REF

(a)Annual rate from 2000 – 2050 (b)Annual rate from 2000 – 2100

23/04/18 15

Carbon Intensity & Energy Intensity Carbon Intensity & Energy Intensity under 550 ppmv Stabilization Scenariosunder 550 ppmv Stabilization Scenarios

0.0

1.0

2.0

3.0

4.0

5.0

- 1.0 0.0 1.0 2.0 3.0 4.0 5.0

annual CI reduction (2000- 2050) (%/ yr)

annu

al E

I im

prov

emen

t (2

000-

2050

) (%/

yr) WORLD

ALMASIAOECD90REF

0.0

1.0

2.0

3.0

4.0

5.0

- 1.0 0.0 1.0 2.0 3.0 4.0 5.0

annual CI reduction (2000- 2100) (%/ yr)

annu

al E

I im

prov

emen

t (2

000-

2100

) (%/

yr) WORLD

ALMASIAOECD90REF

(a)Annual rate from 2000 – 2050 (b)Annual rate from 2000 – 2100

23/04/18 16

Carbon Tax & Regional CO2 mitigation rateCarbon Tax & Regional CO2 mitigation rate

0

100

200

300

400

500

600

700

0 20 40 60 80 100 120

CO2 reduction from baseline in 2050 [%]

Car

bon

tax

in 2

050

(200

0US$/

tC)

WORLDALMASIAOECD90REF

0

100

200

300

400

500

600

700

0 20 40 60 80 100 120

CO2 reduction from baseline in 2100 [%]

Car

bon

tax

in 2

100

(200

0US$/

tC)

WORLDALMASIAOECD90REF

(a) Case in 2050 (b) Case in 2100

23/04/18 17

Cost of CO2 abatement relative to Cost of CO2 abatement relative to baseline projectionbaseline projection

- 10

0

10

20

30

40

- 20 0 20 40 60 80 100 120

CO2 reduction from baseline in 2050 (%)

GD

P lo

ss fr

om b

asel

ine

in 2

050

(%)

WORLDALMASIAOECD90REF

- 10

0

10

20

30

40

- 20 0 20 40 60 80 100 120

CO2 reduction from baseline in 2100 (%)

GD

P lo

ss fr

om b

asel

ine

in 2

100

(%)

WORLDALMASIAOECD90REF

(a) Case in 2050 (b) Case in 2100

23/04/18 18

ConclusionsConclusions

The development of the Emissions Scenarios Database would contribute to the understanding of future GHG emissions scenarios and can provide important insights for policy analysis. By updating the Database, it becomes available to analyze various new mitigation scenarios since TAR at the regional level as well as the global level

23/04/18 19

Future WorkFuture Work

This study is in an intermediate stage and there is This study is in an intermediate stage and there is

scope for further refinement.scope for further refinement.

◆ ◆ contact as many researchers as possible in the

world and collect and clarify more detailed datacollect and clarify more detailed data

◆◆ collect more data from regional or national

scenarios and analyze emission reduction factors analyze emission reduction factors

in detail at the sub-regional and national levelsin detail at the sub-regional and national levels

◆◆ pay attention to reduction measures for non-CO2 pay attention to reduction measures for non-CO2

emissionsemissions such as CH4, N2O, F gases etc

23/04/18 20

Special Thanks for Researchers’ Special Thanks for Researchers’ cooperation in this Databasecooperation in this Database

&&Call for ScenariosCall for Scenarios

Please visit

http://www-cger.nies.go.jp/cger-e/db/enterprise/scenario/scenario_index_e.html

Or Contact: [email protected]


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