aim/cge for global and country analysis...aim/cge for global and country analysis toshihiko masui,...

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AIM/CGE for global and country analysis Toshihiko Masui, Azusa Okagawa, Kenichi Matsumoto, Shinichiro Fujimori, and Hancheng Dai (National Institute for Environmental Studies) The 16th AIM Workshop National Institute for Environmental Studies, Tsukuba, Japan 19 February 2011

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  • AIM/CGE for global and country analysis

    Toshihiko Masui, Azusa Okagawa, Kenichi Matsumoto, Shinichiro Fujimori, and Hancheng Dai(National Institute for Environmental Studies)

    The 16th AIM WorkshopNational Institute for Environmental Studies, Tsukuba, Japan

    19 February 2011

  • Impact/Adaptation Model

    Emission Model

    Overall of AIM

    【Country】

    【Global】

    【Enduse model】

    【Economic model】

    【Account model】

    【sequentialdynamics】

    【dynamicoptimization】

    【Local/City】

    Agriculture

    Water

    Human health

    Simple Climate Model

    Other Models

    future society

    Population Transportation Residential

    GHGemissions

    temperature 

    【Global】 【National/Local】

    feedback

    AIM/Impact[Policy]

    Burden share Stock‐flow

    mid‐term target

    IPCC/WG3

    IPCC/WG2

    IPCC/integrated scenario

    carbon tax

    long‐term vision

    Accounting

    2adaptation

    low carbon scenario

  • CGE models development and their application

    • Global model– Long‐term emission 

    scenarios: RCP and SSP– AME and EMF– Contribution to other 

    analyses such as LCS study (S‐6; Env. research fund, MoE)

    • Country model– Mid‐long term GHG

    emission reduction target in Japan

    – Application to China

    • New model development‒ Global model: more detailed sectors and regions‒ Country model: training workshop toward LCS study

    Main purposes of CGE models‒ Consistency check of scenarios‒ Quantification of economic impacts of GHG mitigation policies 

    3

  • Global Model

    4

  • Features of present AIM/CGE [Global]

    • Global general equilibrium model with recursive dynamics. • Benchmark data of the economic activity is GTAP6 (the year 

    2001). IEA energy balance table is introduced for energy– Numbers of region: 24– Types of commodity: 21– Treated Gas: CO2, CH4, N2O, SOx, NOx, CO, NMVOC, BC, OC, 

    NH3• Production factor: capital, labor, resource and land• Future scenarios

    – technology change (TFP, AEEI, material inputs, …)– consumption pattern change

    • Designed to link with the global technology selection (endusetype) model and country CGE model

    5

  • Region and commodity in AIM/CGE [Global]

    JapanChinaKoreaIndonesiaIndiaThailandOther South‐east AsiaOther South AsiaAustraliaNew ZealandRest of Asia‐PacificCanadaUSAEU‐15 in Western EuropeEU‐10 in Eastern EuropeRussiaRest of EuropeBrazilMexicoArgentineOther Latin AmericaMiddle EastSouth AfricaOther Africa

    AgricultureLivestockForestryFishingMining (except fossil fuels)Energy intensive productsMetal and machineryFoodsOther manufacturesWaterConstructionTransportCommunicationPublic serviceOther serviceCoalCrude oilPetroleum productsNatural gasGas manufacture distributionElectricity

    Coal fire*, Oil products fire*, Gas fire*, Nuclear, Hydro, Biomass*, Waste, Geothermal, Solar, Wind, and Other renewables*: with/without CCS 6

  • RCP and SSP toward IPCC/AR5

    • RCP: Representative Concentration Pathways– Inputs to climate models: Concentrations of GHGs, land use change, ...– Following model teams are contributing;

    • 2.6W/m2 IMAGE• 4.5W/m2 MiniCAM• 6.0W/m2 AIM• 8.5W/m2 MESSAGE

    – NIES (climate modeling team), JAMSTEC and Ibaraki Univ. support AIM team. 

    – Emission forecasts and historical data for RCP:  http://www.iiasa.ac.at/web‐apps/tnt/RcpDb

    • SSP: Shared Socio‐economic Pathways– Inputs to impact models: Socio‐economic activities– Different future directions: Adaptive Capacity and Mitigation Capacity

    RCP

    7

  • Results on RCP

    Total CO2 emissions by scenarios

    Electricity in 6W/m2 Electricity in reference

    RCP

    8

  • Asian Modeling Exercise

    • Model comparison project

    • Final goals1. Asian scenarios toward low carbon 

    society (‐2100)• Policy options and their costs in Asia

    2. Input outcomes to AR5

    • Schedule– 1st meeting in Tsukuba, Sep 2009– 2nd meeting in Beijing, Mar 2010– 3rd meeting in Seoul, Sep 2010– Final data submission, Jan 2011– The 4th meeting in Xian, Mar 2011– Paper deadline:  June 1st 2011

    AIM/Enduse [Global]Bottom‐up model

    AIM/CGE [Global]Top‐down model

    Technology information(Energy Efficiency Improvement)

    AME

    9

  • 0

    100

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    700

    800

    900

    2030 2040 2050 2060 2070 2080 2090 2100

    550 ppm 450 ppm

    Results from AIM/CGE [Global]

    0

    10000

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    50000

    2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

    China (BAU)China (550ppm)China (450ppm)Japan (BAU)Japan (550ppm)Japan (450ppm)India (BAU)India (550ppm)India (450ppm)

    Total CO2 emission(Mt CO2)

    0

    0.005

    0.01

    0.015

    0.02

    0.025

    0.03

    2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

    0

    0.5

    1

    1.5

    2

    2.5

    2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

    TPES/GDP(EJ/billion US$)

    CO2/GDP(Mt CO2/billion US$)

    World carbon price(US$2005/t CO2)

    AME

    10

  • Preliminary results for EMF24 (1st round)

    0

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    100000

    120000

    140000

    2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

    Mt C

    O2/yr

    Scenario 1 Base Scenario 2 Base

    Scenario 3 Base Scenario 4 Base

    Scenario 5 450 CO2e Scenario 6 550 CO2e

    Scenario 7 550 CO2e Scenario 8 550 CO2e

    Scenario 9 550 CO2e Scenario 10 Idealized G8

    Scenario 13 Muddling through Scenario 14 Muddling through

    0

    50000

    100000

    150000

    200000

    250000

    300000

    350000

    2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

    billion

     US$2005/yr

    Scenario 1 Base Scenario 2 Base

    Scenario 3 Base Scenario 4 Base

    Scenario 5 450 CO2e Scenario 6 550 CO2e

    Scenario 7 550 CO2e Scenario 8 550 CO2e

    Scenario 9 550 CO2e Scenario 10 Idealized G8

    Scenario 13 Muddling through Scenario 14 Muddling through

    Global GDP Global CO2 emissions

    EMF24

    11

  • 2 approaches toward Low Carbon Society

    Low Carbon Society

    Backcastingto estimate roadmap

    Top‐down approach: global model analysisGHG emissions from Asia region corresponding to global target

    Bottom‐up approach: country/local scenario developmentQuantification of activity in the future achieving country/local GHGemission reduction target

    How to bridge“GAP”?

    LCS

    12

  • Asia in scenario of global GHG emission reduction by half

    CO2 emissions (bil. tCO2) Primary energy supply (EJ)

    Renewable energy supply (EJ)

    Japan ChinaKorea IndonesiaThailand Other Sounth & East AsiaIndia Other Sounth AsiaOther Asia Rest of the WorldReference (global) Reference (Asia)

    LCS

    13

  • Country Model

    14

  • ▲15%▲19%▲25%

    1,261 1,3441,355 1,282 1,374 1,257 1,076 1,018 949

    0

    500

    1,000

    1,500

    1990

    2000

    2005

    2008

    技術

    固定

    参照

    ▲15

    %

    ▲20

    %

    ▲25

    %

    Linkage between AIM/Enduse[Japan] and AIM/CGE[Japan]

    This information estimated from AIM/Enduse [Japan] is input into AIM/CGE [Japan].

    Additional investment to reduce GHG emissions

    2011-2020▲15% ▲20% ▲25%

    industry Energy intensive industries 1.8 1.8 1.8Industrial furnace, boiler, etc 1.2 1.2 1.4

    3.0 3.0 3.3residential High insulation house 10.1 15.3 19.9

    High efficient & solar water heater 6.1 7.9 9.6High efficient appliances & HEMS 4.8 7.9 11.3

    21.1 31.1 40.8Commercial Energy efficient building 3.6 5.8 6.1

    High efficient & solar water heater 0.4 1.1 1.5High efficient appliances 2.0 2.7 3.6

    6.0 9.7 11.2Transportation Next generation vehicles 7.0 7.9 8.7

    Low fuel consumption 0.8 0.8 0.87.8 8.7 9.5

    energy PV 11.0 13.0 15.2Wind power 2.8 2.8 2.8Small scale hydro & geo-thermal 1.7 3.2 5.3Biomass power 1.0 1.0 1.0power system stabilization 2.3 3.6 5.1Gas pipelines 0.3 0.3 0.4CCS 0.0 0.0 0.1

    19.0 23.8 29.9Non-CO2 Agriculture 0.1 0.1 0.1

    Waste 0.3 0.3 0.3F-gas 0.6 1.4 1.8

    1.0 1.8 2.1Total from 2011 to 2020 58.2 78.3 96.8Annual average 5.8 7.8 9.7unit : trillion yen

    (as of 21 December 2010)

    GHG emissions (MtCO2eq)

    Non-energyEnergyTransportationCommercialResidentialIndustry

    Fixed techno

    logy

    Reference

    Year 2020

    Japan

    15

  • GDP and carbon price from AIM/CGE [Japan](as of 21 December 2010)

    2020reference ▲15% ▲20% ▲25%

    GDP growth rate(2010‐2020;%/year) 2.07% 1.96% 1.89% 1.77%

    GDP change from reference in 2020 (%) ‐1.11% ‐1.78% ‐2.94%

    CO2 price(yen at 2000 price/tCO2) 14,643 21,198 41,446

    Japan

    Within 10 years, GDP growth rate will slow down, but new industries related energy saving equipment and renewable energy will be activated.

    16

  • China Dynamic CGE Model Features 

    Model: Recursive dynamic CGE model, 41 sectorsTime period: 2005‐2050, 5 year stepGas: Energy related CO2, Process CO2, other GHGsTechnology: 

    • 12 power generation technologies 7 fossil and 5 non‐fossil

    • CCS technology in: Coal and gas fired electricity sectors, sectors of cement, chemistry, iron and steel.

    China

    17

  • 0

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    2005 2015 2025 2035 2045

    2005

      10b

    il. Yuan

    GDP

    RS

    S_GDP

    0

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    2005 2015 2025 2035 2045

    MtCO2/ year

    CO2RSS_GDP

    050100150200250300350400450500

    2005 2015 2025 2035 2045

    2005

     US$/t CO2 eq

    Carbon Price

    RS

    S_GDP

    0

    2000

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    2005 2015 2025 2035 2045

    Mtce/year

    Primary Energy in RS

    COL OIL NGS HYD

    NUC WND BIO SOL

    0

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    4000

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    10000

    2005 2015 2025 2035 2045

    Mtce/year

    Final Energy in RS

    SOLID LIQUID GAS ELECT

    020004000600080001000012000140001600018000

    2005 2015 2025 2035 2045

    Bil.kwh/year

    Power generation in RS

    COL OIL GAS COLc GASc

    HYD NUC WND BIO SOL

    China Dynamic CGE Model: Preliminary ResultsChina

    18

  • New model development

    19

  • Main features of a new Global CGE modelNew model Present model

    Region 35 (Asian countries; 14) 24 (Asian countries; 8)Industry 38 (manufacture sector is 

    disaggregated in detail)20

    Emissions CO2, CH4, N2O, NH3, SOx, NOx, BC, OC

    Institution Household, government, Enterprise

    Representative household

    Dynamics Recursive dynamic(1 year step)

    Recursive dynamic (10 year step)

    Base year 2005 2001

    Base data Original energy balance and SAM (data reconciliation system)

    GTAP and IEA energy balances

    Program GAMS / MCP  GAMS / MPSGE

    Global

    20

  • Preliminary results of global CGE model

    Global GHG emissionsGlobal GDP

    Global power structure (450ppm‐delay scenario) GHG emission price

    0500100015002000250030003500400045005000

    2005

     US$/t CO2 eq

    ChinaKoreaUSAIndiaIndonesiaMalaysiaJapanSingaporeThailandVietnamPhilipineRest of South AsiaRest of South east Asia

    020406080100120140160180

    Tril US$/ y

    ear

    BaU550ppm450ppm450ppm‐delay

    0

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    2000

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    Mtoe/year

    OtherrenewableBiomass wCCSBiomass woCCSHydro

    Nuclear

    Fired w CCS

    0102030405060708090

    GtCO2eq/ year

    BaU550ppm450ppm450ppm‐delay

    Global

    21

  • Country CGE model and example of the results‐a case of Japan‐

    • Most of the features are same as global model.• Each national characteristic (eg renewable energy potential) 

    should be considered.• National governmental target and plan will be implemented 

    in the scenario.

    0

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    1990

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    2050

    GHG

     emissions

    (Mton‐CO

    2 eq

    u./year)

    ImportedemissionActualemissionBaU

    75%reduction

    4,000

    4,500

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    8,000

    2005

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    2050

    GDP

     (200

    5USD

    ,billion)

    BaU

    75% reduction

    GHG emissions GDP

    Country

    22

  • Training workshop on Country CGE model

    • We will have a training workshop for development of country LCS scenario by using a CGE model. – Date; June 1 or 2 weeks (Tentative)– Location; NIES @ Tsukuba

    • Required abilities to attend this training workshop– Basic knowledge about microeconomics, input‐output 

    analysis and GAMS– Experience to publish a peer‐reviewed scientific paper– Enthusiasm to show the economic aspects of LCS

    Country

    23