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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, and 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, and 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, International Association for Energy Economics, vol. 0(Number 4).
    • Handle: RePEc:aen:journl:ej40-4-fan
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    Cited by:

    1. Li, Mingquan & Virguez, Edgar & Shan, Rui & Tian, Jialin & Gao, Shuo & Patiño-Echeverri, Dalia, 2022. "High-resolution data shows China’s wind and solar energy resources are enough to support a 2050 decarbonized electricity system," Applied Energy, Elsevier, vol. 306(PA).
    2. Islam, Md. Monirul & Sohag, Kazi & Mariev, Oleg, 2023. "Geopolitical risks and mineral-driven renewable energy generation in China: A decomposed analysis," Resources Policy, Elsevier, vol. 80(C).
    3. He, Ruofan & Wan, Panbing, 2024. "Electricity market integration in China: The role of government officials’ hometown ties," Energy, Elsevier, vol. 303(C).
    4. 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).
    5. Lin, Boqiang & Liu, Zhiwei, 2024. "Optimal coal power phase-out pathway considering high renewable energy proportion: A provincial example," Energy Policy, Elsevier, vol. 188(C).

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    JEL classification:

    • F0 - International Economics - - General

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