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Development and deployment of clean electricity technologies in Asia: A multi-scenario analysis using GTEM

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  • Mi, Raymond
  • Ahammad, Helal
  • Hitchins, Nina
  • Heyhoe, Edwina
Abstract
Carbon capture and storage (CCS) and emerging renewable energy technologies including wind, solar, geothermal and biomass are commonly considered as possible solutions for the electricity sector transitioning to low-carbon future. However, developing and deploying clean electricity technologies is not a cost-free exercise and it will draw resources from other technologies and production sectors. In this paper four mitigation scenarios with identical emissions pathways but with varying degrees of uptake of clean electricity technologies including CCS and emerging renewable energy technologies, are simulated and their welfare implications are analysed using ABARES' Global Trade and Environment Model (GTEM). To capture the range of costs and speeds of developing and deploying clean electricity technologies, technological profiles within electricity and other production sectors are determined endogenously within GTEM allowing a fast growth in one technology at the expense of other technologies. With this induced technology innovation modelling and the specific scenarios, the results presented in this paper suggest that, among Asia's three biggest economies, China may benefit from devoting resources to further developing and deploying CCS and emerging renewable energy technologies while Japan and India may gain from devoting resources to certain conventional clean energy technologies. The modelling results also suggest that coal and gas imports into Asia under the mitigation scenarios will be influenced by, among other things, the size of the carbon price, the extent of fossil fuel dependencies, and, in the case of coal, the relativities of emissions intensities of mining across economies.

Suggested Citation

  • Mi, Raymond & Ahammad, Helal & Hitchins, Nina & Heyhoe, Edwina, 2012. "Development and deployment of clean electricity technologies in Asia: A multi-scenario analysis using GTEM," Energy Economics, Elsevier, vol. 34(S3), pages 399-409.
    • Handle: RePEc:eee:eneeco:v:34:y:2012:i:s3:p:s399-s409
    DOI: 10.1016/j.eneco.2012.06.001
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    References listed on IDEAS

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    1. Garnaut,Ross, 2008. "The Garnaut Climate Change Review," Cambridge Books, Cambridge University Press, number 9780521744447, September.
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    Cited by:

    1. Richard Tol, 2013. "Low probability, high impact: the implications of a break-up of China for carbon dioxide emissions," Climatic Change, Springer, vol. 117(4), pages 961-970, April.
    2. Viebahn, Peter & Vallentin, Daniel & Höller, Samuel, 2015. "Prospects of carbon capture and storage (CCS) in China’s power sector – An integrated assessment," Applied Energy, Elsevier, vol. 157(C), pages 229-244.
    3. Bosello, Francesco & Orecchia, Carlo & Raitzer, David A., 2016. "Decarbonization Pathways in Southeast Asia: New Results for Indonesia, Malaysia, Philippines, Thailand and Viet Nam," MITP: Mitigation, Innovation and Transformation Pathways 250260, Fondazione Eni Enrico Mattei (FEEM).
    4. Calvin, Katherine & Clarke, Leon & Krey, Volker & Blanford, Geoffrey & Jiang, Kejun & Kainuma, Mikiko & Kriegler, Elmar & Luderer, Gunnar & Shukla, P.R., 2012. "The role of Asia in mitigating climate change: Results from the Asia modeling exercise," Energy Economics, Elsevier, vol. 34(S3), pages 251-260.
    5. Viebahn, Peter & Vallentin, Daniel & Höller, Samuel, 2014. "Prospects of carbon capture and storage (CCS) in India’s power sector – An integrated assessment," Applied Energy, Elsevier, vol. 117(C), pages 62-75.
    6. Cai, Liya & Luo, Ji & Wang, Minghui & Guo, Jianfeng & Duan, Jinglin & Li, Jingtao & Li, Shuo & Liu, Liting & Ren, Dangpei, 2023. "Pathways for municipalities to achieve carbon emission peak and carbon neutrality: A study based on the LEAP model," Energy, Elsevier, vol. 262(PB).
    7. Bosello, Francesco & Marangoni, Giacomo & Orecchia, Carlo & Raitzer, David A. & Tavoni, Massimo, 2016. "The Cost of Climate Stabilization in Southeast Asia, a Joint Assessment with Dynamic Optimization and CGE Models," MITP: Mitigation, Innovation and Transformation Pathways 251810, Fondazione Eni Enrico Mattei (FEEM).
    8. Haakon Vennemo & Jianwu He & Shantong Li, 2014. "Macroeconomic Impacts of Carbon Capture and Storage in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(3), pages 455-477, November.

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