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Advanced technologies in energy-economy models for climate change assessment

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  • Morris, Jennifer F.
  • Reilly, John M.
  • Chen, Y.-H. Henry

Abstract

Considerations regarding the roles of advanced technologies are crucial in energy-economic modeling, as these technologies, while usually not yet commercially viable, could substitute for fossil energy when favorable policies are in place. To improve the representation of the penetration of advanced technologies in energy-economic models, we present a formulation that is parameterized based on observations, while capturing elements of rent and real adjustment cost increases if high demand due to a large policy shock suddenly appears. The formulation is applied to a global computable general equilibrium model to explore the role of low-carbon alternatives in the electric power sector. While other modeling approaches often adopt specific constraints on expansion, our approach is based on the assumption and observation that these constraints are not absolute, and how fast advanced technologies will expand is endogenous to economic incentives. The policy simulations, while not intended to represent realistic price paths, are designed to illustrate the response of our technology diffusion approach under sudden increased demand for advanced technologies.

Suggested Citation

  • Morris, Jennifer F. & Reilly, John M. & Chen, Y.-H. Henry, 2019. "Advanced technologies in energy-economy models for climate change assessment," Energy Economics, Elsevier, vol. 80(C), pages 476-490.
    • Handle: RePEc:eee:eneeco:v:80:y:2019:i:c:p:476-490
    DOI: 10.1016/j.eneco.2019.01.034
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    Cited by:

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    2. Xiaoye Jin & Meiying Li & Fansheng Meng, 2019. "Comprehensive Evaluation of the New Energy Power Generation Development at the Regional Level: An Empirical Analysis from China," Energies, MDPI, vol. 12(23), pages 1-15, December.
    3. Hanna, Richard & Gross, Robert, 2021. "How do energy systems model and scenario studies explicitly represent socio-economic, political and technological disruption and discontinuity? Implications for policy and practitioners," Energy Policy, Elsevier, vol. 149(C).
    4. An, Kangxin & Wang, Can & Cai, Wenjia, 2023. "Low-carbon technology diffusion and economic growth of China: an evolutionary general equilibrium framework," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 253-263.
    5. Gurgel, Angelo & Mignone, Bryan K. & Morris, Jennifer & Kheshgi, Haroon & Mowers, Matthew & Steinberg, Daniel & Herzog, Howard & Paltsev, Sergey, 2023. "Variable renewable energy deployment in low-emission scenarios: The role of technology cost and value," Applied Energy, Elsevier, vol. 344(C).
    6. Weng, Yuwei & Cai, Wenjia & Wang, Can, 2021. "Evaluating the use of BECCS and afforestation under China’s carbon-neutral target for 2060," Applied Energy, Elsevier, vol. 299(C).
    7. Kapsalyamova, Zhanna & Paltsev, Sergey, 2020. "Use of natural gas and oil as a source of feedstocks," Energy Economics, Elsevier, vol. 92(C).

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