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Wind power in China – Dream or reality?

Author

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  • Li, X.
  • Hubacek, K.
  • Siu, Y.L.
Abstract
After tremendous growth of wind power generation capacity in recent years, China now has 44.7 GW of wind-derived power. Despite the recent growth rates and promises of a bright future, two important issues - the capability of the grid infrastructure and the availability of backup systems - must be critically discussed and tackled in the medium term.

Suggested Citation

  • Li, X. & Hubacek, K. & Siu, Y.L., 2012. "Wind power in China – Dream or reality?," Energy, Elsevier, vol. 37(1), pages 51-60.
  • Handle: RePEc:eee:energy:v:37:y:2012:i:1:p:51-60
    DOI: 10.1016/j.energy.2011.09.030
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    References listed on IDEAS

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    Cited by:

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    6. Liu, Wen & Hu, Weihao & Lund, Henrik & Chen, Zhe, 2013. "Electric vehicles and large-scale integration of wind power – The case of Inner Mongolia in China," Applied Energy, Elsevier, vol. 104(C), pages 445-456.
    7. Zhao, Zhen-Yu & Chang, Rui-Dong & Chen, Yu-Long, 2016. "What hinder the further development of wind power in China?—A socio-technical barrier study," Energy Policy, Elsevier, vol. 88(C), pages 465-476.
    8. Ming, Zeng & Song, Xue & Mingjuan, Ma & Xiaoli, Zhu, 2013. "New energy bases and sustainable development in China: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 169-185.
    9. Wang, Yibo & Shao, Xinyao & Liu, Chuang & Cai, Guowei & Kou, Lei & Wu, Zhiqiang, 2019. "Analysis of wind farm output characteristics based on descriptive statistical analysis and envelope domain," Energy, Elsevier, vol. 170(C), pages 580-591.
    10. Lema, Rasmus & Berger, Axel & Schmitz, Hubert, 2012. "China’s impact on the global wind power industry," IDOS Discussion Papers 16/2012, German Institute of Development and Sustainability (IDOS).
    11. Zheng, Yanan & Hu, Zhaoguang & Wang, Jianhui & Wen, Quan, 2014. "IRSP (integrated resource strategic planning) with interconnected smart grids in integrating renewable energy and implementing DSM (demand side management) in China," Energy, Elsevier, vol. 76(C), pages 863-874.
    12. Valentine, Scott Victor, 2014. "The socio-political economy of electricity generation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 416-429.
    13. Lindner, Soeren & Liu, Zhu & Guan, Dabo & Geng, Yong & Li, Xin, 2013. "CO2 emissions from China’s power sector at the provincial level: Consumption versus production perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 164-172.
    14. Li, Xin & Chalvatzis, Konstantinos J. & Pappas, Dimitrios, 2018. "Life cycle greenhouse gas emissions from power generation in China’s provinces in 2020," Applied Energy, Elsevier, vol. 223(C), pages 93-102.
    15. Lam, J.C.K. & Woo, C.K. & Kahrl, F. & Yu, W.K., 2013. "What moves wind energy development in China? Show me the money!," Applied Energy, Elsevier, vol. 105(C), pages 423-429.
    16. Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2016. "Optimization modeling to support renewables integration in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 316-325.
    17. Li, Cun-bin & Li, Peng & Feng, Xia, 2014. "Analysis of wind power generation operation management risk in China," Renewable Energy, Elsevier, vol. 64(C), pages 266-275.
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    19. Yu, Jie & Chen, Kuilin & Mori, Junichi & Rashid, Mudassir M., 2013. "A Gaussian mixture copula model based localized Gaussian process regression approach for long-term wind speed prediction," Energy, Elsevier, vol. 61(C), pages 673-686.

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