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Power generation and renewable potential in China

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  • Zhao, Jing
  • Wang, Jianzhou
  • Su, Zhongyue

Abstract

Due to long-term, coal-based electricity generation, China’s power industry has produced not only heavy burdens on provincial coal supplies but has also caused serious environmental deterioration. This paper discusses the current status and future development trend of China’s power generation. By using the Johansen co-integration test and the error correction model (ECM), the paper shows the existence of a synchronous increase between China’s economy and its electricity production. Then, a GM(1,1) model is applied to predict China’s economic production in 2015. By using that prediction, the ECM to estimate the related electricity generation. Next, based on the 2015 power generation prediction, this paper discusses the development trend of China’s future power structure, especially in regard to renewable energy, and also provides an overview of the potential reserves and current development status of China’s renewable power generation as well as the 12th Five-Year Plan (FYP), with suggestions for the future development of renewable energy. Last, a centralized combined dispatching policy, including trans-provincial and trans-regional power transmissions, is considered.

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  • Zhao, Jing & Wang, Jianzhou & Su, Zhongyue, 2014. "Power generation and renewable potential in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 727-740.
    • Handle: RePEc:eee:rensus:v:40:y:2014:i:c:p:727-740
    DOI: 10.1016/j.rser.2014.07.211
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    2. Xu, Xinhai & Vignarooban, K. & Xu, Ben & Hsu, K. & Kannan, A.M., 2016. "Prospects and problems of concentrating solar power technologies for power generation in the desert regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1106-1131.
    3. Sun, Hui & Wang, Enzhen & Li, Xiang & Cui, Xian & Guo, Jianbin & Dong, Renjie, 2021. "Potential biomethane production from crop residues in China: Contributions to carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    4. Mo, Hua-Dong & Li, Yan-Fu & Zio, Enrico, 2016. "A system-of-systems framework for the reliability analysis of distributed generation systems accounting for the impact of degraded communication networks," Applied Energy, Elsevier, vol. 183(C), pages 805-822.
    5. Zeng, Ming & Yang, Yongqi & Fan, Qiannan & Liu, Yingxin & Zou, Zhuojun, 2015. "Coordination between clean energy generation and thermal power generation under the policy of “direct power-purchase for large users” in China," Utilities Policy, Elsevier, vol. 33(C), pages 10-22.
    6. Zhou, Kaile & Yang, Shanlin & Shen, Chao & Ding, Shuai & Sun, Chaoping, 2015. "Energy conservation and emission reduction of China’s electric power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 10-19.
    7. Chen, Xi & Zhao, Tian & Chen, Qun, 2022. "An online parameter identification and real-time optimization platform for thermal systems and its application," Applied Energy, Elsevier, vol. 307(C).
    8. Zhao, Jing & Guo, Zhen-Hai & Su, Zhong-Yue & Zhao, Zhi-Yuan & Xiao, Xia & Liu, Feng, 2016. "An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed," Applied Energy, Elsevier, vol. 162(C), pages 808-826.
    9. Dong, Liang & Liang, Hanwei & Gao, Zhiqiu & Luo, Xiao & Ren, Jingzheng, 2016. "Spatial distribution of China׳s renewable energy industry: Regional features and implications for a harmonious development future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1521-1531.

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