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Scenario Input-Output Analysis on the Diffusion of Fuel Cell Vehicles and Alternative Hydrogen Supply Systems Using MRIOT

  • Mitsuo YamadaEmail author
  • Kiyoshi Fujikawa
  • Yoshito Umeda
Chapter
Part of the New Frontiers in Regional Science: Asian Perspectives book series (NFRSASIPER, volume 34)

Abstract

According to the 2015 Paris Agreement, Japan is to approach the target of a 26% reduction of its 2013 greenhouse gas (GHG) emissions by 2030. To attain this target, it is necessary to transcend the current fossil energy-based society and shift to a renewable energy-oriented society. Carbon dioxide (CO2)-free fuels must become the predominant source of energy, in addition to the introduction of energy conservation technologies in each sector of manufacturing, transportation, and business and in households. Fuel cells and hydrogen, therefore, are gaining much attention. Our research group in “Knowledge Hub Aichi” is developing a new hydrogen-generating system, which directly decomposes hydrogen from methane (directly decomposition of methane, DDM) and separates carbon as a solid substance without CO2 emissions. We have estimated DDM’s CO2 reduction effects and compared them to those in the current steam reforming of methane (SRM) by applying a scenario input-output analysis with a multiregional input-output table (MRIOT). For a certain amount of hydrogen production, DDM directly emits 14.2% of the CO2 emitted by SRM or 24.5% when considering its indirect effect on the industry. Under the assumption that 800,000 fuel cell vehicles (FCVs) will be diffused in Japan before 2030, the total reduction of CO2 from DDM is estimated as 21.8% more than that from SRM, when FCVs replace conventional vehicles. The vehicle substitution requires a regional concentration of vehicle production in the Aichi Prefecture, but then the production of Aichi would increase with the resulting additional CO2 emission. DDM’s introduction suppresses the increase of CO2 emissions in the industry.

Keywords

Scenario input-output analysis Fuel cell vehicles Hydrogen production technology Carbon dioxide emissions Direct decomposition of methane method Steam reforming of methane method Multiregional input-output table 

Notes

Acknowledgment

This paper is part of the research results of “Development of the Methane direct decomposition hydrogen production system” of Project E, Priority Research Project II, at Knowledge Hub Aichi, Japan. We are grateful for the financial support.

References

  1. Cantono S, Heijungs R, Kleijn R (2008) Environmental accounting of eco-innovations through environmental input-output analysis: the case of hydrogen and fuel cells buses. Econ Syst Res 20(3):303–318CrossRefGoogle Scholar
  2. Chubu region Institute for Social and Economic Research (2015) On the Influence of Next Generation Mobility Promotion in the Chubu Region Industry (in Japanese)Google Scholar
  3. Fujikawa K, Wang J (2017) Economic and environmental impact of renewable energy – an application of input-output analysis. Ritsumeikan Econ Rev 65(4):619–630. (in Japanese)Google Scholar
  4. Hydrogen and Fuel Cell Strategy Council, METI (2016) Hydrogen and Fuel Cell Strategy Roadmap – accelerate efforts toward Realization of a Hydrogen Society (in Japanese). http://www.meti.go.jp/press/2015/03/20160322009/20160322009.html
  5. Japan Automobile Research Institute (2011) Report on overall efficiency and GHG emissions by type of vehicle (in Japanese). http://www.jari.or.jp/Portals/0/jhfc/data/report/2010/pdf/result.pdf
  6. Keipi T, Tolvanen H, Konttinen J (2018) Economic analysis of hydrogen production by methane thermal decomposition: comparison to competing technologies. Energy Convers Manag 159:264–273CrossRefGoogle Scholar
  7. Leontief W (1970) Environmental repercussions and the economic structure: an input-output approach. Rev Econ Stat 52(3):262–271CrossRefGoogle Scholar
  8. Miller RE, Blair PD (2009) Input-output analysis: foundations and extensions, 2nd edn. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  9. Ministry of Environment (2017) Emissions of greenhouse gases in Japan (preliminary figures for (2016)) (in Japanese). https://www.env.go.jp/press/104900.html
  10. Nansai K, Kagawa S, Kondo Y, Suh S, Inaba R, Nakajima K (2009) Improving the completeness of product carbon footprints using a global link input-output model: the case of Japan. Econ Syst Res 21(3):267–290CrossRefGoogle Scholar
  11. National Institute for Environmental Studies (2018) Embodied Energy and Emission Intensity Data for Japan Using Input-Output tables (3EID). (in Japanese). http://www.cger.nies.go.jp/publications/report/d031/jpn/index_j.htm
  12. Next Generation Vehicle Promotion Center (2018) Statistics of the next generation vehicle (in Japanese). http://www.cev-pc.or.jp/chosa/
  13. Usubiaga A, Acosta-Fernandez J (2015) Carbon emission accounting in MRIO models: the territory vs. residence principle. Econ Syst Res 27(4):458–477CrossRefGoogle Scholar
  14. Wang J (2016) Economic and environmental effects of introduction of renewable power sources: an application of scenario input-output analysis to China. Input-Output Anal 24(1):35–48. (in Japanese)CrossRefGoogle Scholar
  15. Wiebe KS, Bruckner M, Giljum S, Lutz C (2012) Calculating energy-related CO2 emissions embodied in international trade using global input-output model. Econ Syst Res 24(2):113–139CrossRefGoogle Scholar
  16. Yoshioka K, Suga M (1997) Applications of the input-output approach in environmental analysis – a study of scenario Leontief inverse, economic analysis. Economic and Social Research Institute, Cabinet Office, Japan, 154 (in Japanese)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Mitsuo Yamada
    • 1
    Email author
  • Kiyoshi Fujikawa
    • 2
    • 3
  • Yoshito Umeda
    • 4
  1. 1.School of EconomicsChukyo UniversityNagoyaJapan
  2. 2.Applied Social System Institute of AsiaNagoya UniversityNagoyaJapan
  3. 3.Institute of EconomicsChukyo UniversityNagoyaJapan
  4. 4.Toho Cryogenics Co., Ltd.NagoyaJapan

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