Overview of Quantification Using ExSS Kei Gomi, Kyoto University - - PowerPoint PPT Presentation

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Overview of Quantification Using ExSS Kei Gomi, Kyoto University - - PowerPoint PPT Presentation

Overview of Quantification Using ExSS Kei Gomi, Kyoto University AIM Training Workshop Tokyo, Japan Oct. 25 2007 Contents What's ExSS? Structure of ExSS (early version) Structure of ExSS (recent version) How to use, What to use


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Overview of Quantification Using ExSS

Kei Gomi, Kyoto University AIM Training Workshop Tokyo, Japan Oct. 25 2007

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Contents

What's ExSS? Structure of ExSS (early version) Structure of ExSS (recent version) How to use, What to use

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What's ExSS?

Extended SnapShot tool

(extended from energy snapshot tool)

Needs: We need future image of our society to

dicuss LCS (population, economic structure, land-use etc)

  • >Quantitative future snapshot
  • >Extend the estimation target to estimation of

Driving Force

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General Idea

Acitivity level of each sector is related each other Example:

Population Industrial Production Freight transport Number of Office worker Office floor area

By formulating relationship between Indicators, We can estimate Driving Forces simultaneously, Under assumptions of future depictive image.

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Structure of ExSS (early version)

Sector production Energy demand Population Final demand Office floor Passenger transport demand Farm land area Livestock number Freight transport demand Household CH4 emission CO2 emission GHG emissions

Socio-economic indicators Energy/GHG indicators

GDP/capita Private consumption Government consumption Private investment Government investment Export Import

Both by EXCEL & GAMS.

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Some problem of application

Viewpoint of local development

Employment Base industry (main export industry of the region)

  • >many municipalities try to attract investment of

factories from outside of the region

Transport & Energy industry

Energy demand (calculated by ESS) and

production of energy industy

Transport volume (calculated by early ExSS) and

production of transport industry

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Export industry and population

Population Export Industry Residents in the region Labor demand, Wage New residents Other Industry Export Consumption Outside of the region A region

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Transport/Energy demand and Spillover

Transpor t model Transport demand <p-km> Price <$/p-km> Demand to transport industry <$>

Production Transport industry

Demand of intermediate input

Other industry

Feedback to estimation of production

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Let’s solve them, simultaneously

Modeling policies are;

To formulate those relationships in a set

  • f simultaneous equations

To use IO analysis to calculate spillover

effect and feedback loop

To find solution by numeric calculation

program (GAMS)

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Sample of GAMS window

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Structure of ExSS (recent version)

Consumption Labor demand CO2 emissions Number of employees Population Wage Income Production Export Other final demand Input coefficient Import ratio Passenger transport demand Freight transport demand Household number Floor area of commerce Energy service demand Energy demand Energy share, efficiency Consumption pattern Number of employees

(working outside of the region)

Wage from outside

  • f the region

Exogenous variable, parameter Endogenous variable

Energy/GHG

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Another application of ExSS

Sensitivity analysis

We can use it to define which assumption is

important to the result (CO2 emission), by changing parameters and exogenous variables. (ex. growth rate of per capita GDP, export structure, demographic composition, etc)

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Conclusion

Advanced step of creating a SnapShot of a

LCS is, consistent estimation of Driving Force

ExSS can consider various assumptions of

future society (but needs huge amount of data and modeling skill )

  • > We are making manual and template to use

EXSS for LCS scenario.

Coming soon!!

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Thank you