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TPM11 - Session 4 PRA8. Climate Change - Research Collaboration for Low Carbon Development in Three Countries

TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

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Page 1: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

TPM11 - Session 4

PRA8. Climate Change- Research Collaboration for Low Carbon Development in Three Countries

Page 2: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

Reports on PRA 8 – Climate Change Research Collaboration for Low Carbon

Development in Three Countries

Toshihiko Masui, Yasuaki Hijioka, Tatsuya Hanaoka, Hancheng Dai, Rui Xing, Chan Park (NIES)

Sang-Kyun Kim, Dai-Gon Kim (NIER) Qingxian Gao, HuaDing Shi (CRAES)

11th Tripartite Presidents Meeting among CRAES, NIES and NIER

Kawasaki Nikko Hotel, Kawasaki City, Japan November 12, 2014

Page 3: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

Activities in PRA 8: Climate Change • CRAES

– Evaluation system toward Low carbon & Sustainable development • Low carbon, Environmental protection and Development

• NIER – New Asia Future Emission Scenarios

• NIES – New research project, S-12 of the Environment Research and Technology

Development Fund by MOEJ, focusing on LLGHG and SLCP emission pathways. • On 21 and 22 July 2014, the 2nd International Symposium for ABC

(Atmospheric Brown Cloud) and SLCP (Short-Lived Climate Pollutant) was held in Tokyo.

– NIES had a workshop on AIM (Asia-Pacific Integrated Model) Enduse model and CGE (computable general equilibrium) model in Tsukuba.

– The above two events are treated as a research collaboration among 3 institutes, and NIES invited CRAES and NIER.

2

Page 4: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

Activities in CRAES (1)

3

[email protected] 5

低碳指数

•低碳生产指数(12)•低碳消费指数(6)•低碳资源指数(7)•低碳管理指数(3)

环保指数

•环境污染指数(14)•环境质量指数(15)•环境管理指数(9)

发展指数

•经济指数(12)•人口指数(5)•健康指数(5)•生活指数(3)•差异指数(4)•智力指数(4)

The evaluation system: Index

indicators

[email protected] 6

低碳指数

环保指数

发展指数

∑=+++= ***2

*1LC

1][121 nn lcnlcnlclc x

nxxx

nI δδδδ

∑=+++= ***2

*1SD

1][121 pp dpdpdd x

pxxx

pI ωωωω

∑=+++= ***2

*1 EP

1][121 nn lcnlcnlclc x

nxxx

nI δδδδ

The evaluation system: Index

Environmental Protection Index

Low Carbon Index

Development Index

Page 5: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

2005 2011

East high - west low, optimized

constantly

EP Index

Evaluating results

Activities in CRAES (2)

4

Evaluating results

2005 2011

North-south differences obviously

LC Index

Page 6: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

Activities in CRAES (3)

5

LC Index EP Index

SD Index comprehensive Index

Regional Assessment for 7 Regions in China

Evaluating results

2005 2011

East and north region high, the

central and western region low

SD Index

Evaluating results

Comprehensive index: Based on Development Index under Low carbon constraint (ISD

ILC), Environment constraint (ISD

IEP), and both constraints (ISD

(ILC+IEP)/2), Comprehensive index is calculated ((ISD

ILC+ISDIEP+ISD

(ILC+IEP)/2)/3).

Page 7: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

Activities in NIER (1)

IIASA

NIES

IAMs

Tsinghua Univ.

Socio-economic Param. CC-AQ Policy & Tech.

Emission Factor

CREATE (Baseline Emissions)

Emission Inventories for Present and Futures

(SMOKE-Ready)

KU-EPS/SMOKE-Asia Modeling Emission

Inventories

GAINS-Asia/Korea (Downscaling/Assessment)

KU

MESSAGE - China AIM - Korea AIM - Japan

SNU

KDI School

ICAMS

Features • Up to 2100 • LLCPs and SLCPs emissions • Global and Regional • CC and AQ modeling friendly

Development of New Asia Future Emission Scenarios in NIER project - Development Plan and Structure

6

Page 8: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

Activities in NIER (2)

7 7

NIER is developing Future Emission Scenarios

• GAINS-Korea : The Scenario Engine for Climate-Air Quality Management

Energy

Emissions by Control Policy and Scenario

Stage 1 : Prototype OFF/ON Line

Coupling

Climate Change Model

Atmos. Chemistry Model RegionalAtmos. Chemistry Model

Regional Climate Change Model

Global Scale Regional Scale

Regional ScaleGlobal Scale

OFF/ON LineCoupling

Downscaling

Downscaling

Integrated Modeling System(NIER -ICAMS)

OFF/ON LineCoupling

MM5

CMAQ

CCSM

GEOS-Chem

* KU-EPS : Konkuk University Emission Processing System

Global and regional emission processing system(KU-EPS* and SMOKE-Asia)

Stage 2 : Scenario Mode

Stage 3 : Optimization Mode

Page 9: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

Activities in NIER (3)

8

• Regions : 17, Year: 2010(base) ~ 2050(Future)

• Emissions : CAPSS +GHG CAPSS + GAINS

• Pollutants: CO2, CH4, NOx, N2O, PM10, PM2.5,

SO2, VOC, NH3, CO, BC, OC, Mercury

• Sectors: Energy, Mobile, Industrial Process, VOCs,

Agriculture (detail sectors : 250)

• S-R modeling

- Domain 1 & 2: 58×46, 54km; 36×66, 18km grid

- MM5/SMOKE-Asia (Woo et al., 2012)

- CAMx version 6.0 with OSAT

(Ozone Source Apportionment Technology)

GAINS-Korea

AIM – Korea (TWS2014)

AIM/Enduse Training workshop Results • Future transport scenarios for services demands

202

313 355

442

273 309

398

263

289

344

258 279

335

200250300350400450

2005 2020 2030 2050M

tCO

2eq

Year

Emission of Transport sector in Korea

TRT_Fix TRT_Bau TRT_Tx100 TRT_Shr TRT_TxShr

2005 2010 2020 2030 2050 Population

(million) 47,044 48,184 49,378 49,661 46,183

GDP ($/person) 577,264 695,267 1,009,588 1,338,333 1,801,145

Results of carbon tax by Korea government at 2015 (Target : Transport sector) - No effect of tax because of high price of car - To reduce emission in TRT sector, introduces not only emission tax, but also high-efficiency device

Page 10: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

Activities in NIES (1) • S-12 project: In order to estimate GHG and SLCP emissions in

local scale, NIES is developing regional AIM model. – China: 31 provinces – Korea: 6 regions

9 by Dr. Park Chan

Results

Lighting service

Cooking service

Heating service

Cooling service

Factor analysis of energy service demand in Residential sector

Future Drivers: - population - technologies - resources - policies

Low Carbon & Sustainable Society: - economy - energy - environment

AIM/Enduse AIM/CGE

Page 11: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

Activities in NIES (2)

10

Air pollutant emissions from residential sector

Annu

al e

miss

ion

(Mt-

CO2) Beijing Guangdong Heilongjiang Shanghai

0

30

60

90

Beijing Guangdong Heilongjiang Shanghai

0.00

0.05

0.10

0.15

Beijing Guangdong Heilongjiang Shanghai

0.000

0.005

0.010

0.015

0.020

0.025

2010 2020 2030

Beijing Guangdong Heilongjiang Shanghai

0.000

0.004

0.008

0.012

2010 2020 2030

CO2

Annu

al e

miss

ion

(Mt-

NO

x)An

nual

em

issio

n (M

t-SO

2)An

nual

em

issio

n (M

t-PM

)

PMN

Ox

SO2

Heating

Cooling

Hot water

Cooking

Electronics

(Results of 31 regions are available)

• CO2 emission are mainly caused by use of heating (coal) and electronics (electricity)

• SO2, NOX and PM emissions are mainly caused by massive use of central heating (coal) in northern areas

Annu

al e

miss

ion

(Mt-

CO2)

North South North Middle

by Dr. Xing Rui

Results: energy intensity & carbon intensity

2014/11/7 3The 4th IAEE Asian Conference, September 19-21, 2014

— Energy intensity of China from 2002 to 30 improves by 41% in BaU; South (22%) and East(37%) China is slower than Central (48%), Northeast (46%) and Northwest (42%) China.

— Carbon intensity improves by 40% over 2002-30; Higher improvement in Northeast (49%) and Central (46%) China; While less in South (27%) and North (35%) China

by Dr. Dai Hancheng

Page 12: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

Activities in NIES (3)

• How to realize the drastic GHG emission reduction in Japan (80% reduction in 2050 compared to 1990 level)

• DDPP (Deep Decarbonization Pathways Project) http://www.unsdsn.org/what-we-do/deep-decarbonization-pathways/

11

0

200

400

600

800

1,000

1,200

1,400

1,600

1990 2000 2010 2020 2030 2040 2050

GHG

emiss

ion

(Mt-

CO2e

q)

Reduction byCCSNon-CO2

EnergytransformationTransport

Residential

Commercial

Industrial

GHG emissions in Japan DDPP seminar introducing Japan's results was held on October 7 in Tokyo.

In 2014, technology feasibility was assessed. In 2015, economic aspects will be reported.

Page 13: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

Research collaboration among CRAES, NIER & NIES

• The 2nd International Symposium for ABC and SLCP, Tokyo, 21-22 July 2014 – Oral session

• T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways)

• T. Hanaoka, K. Fujiwara, Y. Motoki, G. Hibino, T. Masui: Cobenefits of reducing air-pollutants emissions in Asia by achieving a 50% global GHG emissions reduction target by 2050

• J.-H. Woo, D.-K. Lee, J.-B. Lee, R. Park, C.-K. Song, J.-S. Han: Effects of climate change on regional air quality -Use of IPCC emission scenarios and plan for a new creation

– Poster session

12

Page 14: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

Workshop at Tsukuba, Oct 27 - Nov 7

13

Page 15: TPM11 Session 4 · 2015-05-19 · • T. Masui, T. Hanaoka, G. Hibino, G. Kurata: Local socio-economic scenario development based on SSPs (Shared Socio-economic Pathways) • T. Hanaoka,

Next steps toward low carbon society

• By March 2015, INDC (intended nationally determined contribution) would be submitted toward post-2020 international framework. We will also contribute to each government.

• We want to develop common scenarios including LLGHG and SLCP emissions toward low carbon society.

• Not only Mitigation but also Adaptation becomes more important.

• We are necessary for data sharing and intercomparison of research.

14