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The Spatial Deployment of Renewable Energy Based on China’s Coal-heavy Generation Mix and Inter-regional Transmission Grid

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  • Bo-Wen Yi
  • Wolfgang Eichhammer
  • Benjamin Pfluger
  • Ying Fan
  • Jin-Hua Xu

Abstract

China has set a goal of 20% non-fossil energy in total primary energy consumption by 2030. The decision of where to invest in renewable energy, and to what extent, needs to be considered from a forward-looking perspective. This article presents a power sector optimization model that integrates unit commitment with long-term generation expansion planning framework. Power dispatches at an hourly level are combined with yearly investment decisions. Based on the model, this article analyzes the optimal spatial deployment of renewable energy. The results show that regional differences in non-hydro renewable energy are significant. Approximately 75% should be deployed in the north of China. With the increase of combined heat and power, more renewable energy facilities, especially solar photovoltaic, should be located in the south of China. Inter-regional power transmission is beneficial to onshore wind in resource-rich areas, and could mitigate the conflict between coal-heavy generation mix and renewable energy.

Suggested Citation

  • Bo-Wen Yi & Wolfgang Eichhammer & Benjamin Pfluger & Ying Fan & Jin-Hua Xu, 2019. "The Spatial Deployment of Renewable Energy Based on China’s Coal-heavy Generation Mix and Inter-regional Transmission Grid," The Energy Journal, , vol. 40(4), pages 45-74, July.
    • Handle: RePEc:sae:enejou:v:40:y:2019:i:4:p:45-74
    DOI: 10.5547/01956574.40.4.bwyi
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    References listed on IDEAS

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    1. Egerer, Jonas & Rosellón, Juan & Schill, Wolf-Peter, 2015. "Power System Transformation toward Renewables: An Evaluation of Regulatory Approaches for Network Expansion," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 36(4), pages 105-128.
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    3. Scholz, Yvonne & Gils, Hans Christian & Pietzcker, Robert C., 2017. "Application of a high-detail energy system model to derive power sector characteristics at high wind and solar shares," Energy Economics, Elsevier, vol. 64(C), pages 568-582.
    4. Moarefdoost, M. Mohsen & Lamadrid, Alberto J. & Zuluaga, Luis F., 2016. "A robust model for the ramp-constrained economic dispatch problem with uncertain renewable energy," Energy Economics, Elsevier, vol. 56(C), pages 310-325.
    5. Koltsaklis, Nikolaos E. & Georgiadis, Michael C., 2015. "A multi-period, multi-regional generation expansion planning model incorporating unit commitment constraints," Applied Energy, Elsevier, vol. 158(C), pages 310-331.
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    Cited by:

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    2. Yang, Yan-Shen & Xie, Bai-Chen & Tan, Xu, 2024. "Impact of green power trading mechanism on power generation and interregional transmission in China," Energy Policy, Elsevier, vol. 189(C).

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