IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v97y2016icp136-144.html
   My bibliography  Save this article

Coal power overcapacity and investment bubble in China during 2015–2020

Author

Listed:
  • Yuan, Jiahai
  • Li, Peng
  • Wang, Yang
  • Liu, Qian
  • Shen, Xinyi
  • Zhang, Kai
  • Dong, Liansai

Abstract

Electricity consumption growth in China has experienced radical adjustment from high speed to medium speed with the advent of new economy normal. However, the investment enthusiasm on coal power remains unabated and leads to continuous operation efficiency deterioration in recent years. In this paper, we quantify the rational capacity and potential investment of coal power in China during the 13th FYP period (2016–2020). By employing power planning model and fully considering the power sector's contribution in the 15% non-fossil primary energy supply target by 2020, we estimate that the reasonable capacity addition space of coal power ranges between 50GW and 100GW, depending on the expected range of demand growth. We find that if all the coal power projects submitted for Environmental Impact Assessment (EIA) approval were put into operation in 2020, capacity excess would reach 200GW. Such huge overcapacity will bring forth disastrous consequences, including enormous investment waste, poor economic performance of generators and more importantly, delay of low-carbon energy transition. Finally, policy recommendations are proposed to address this issue.

Suggested Citation

  • Yuan, Jiahai & Li, Peng & Wang, Yang & Liu, Qian & Shen, Xinyi & Zhang, Kai & Dong, Liansai, 2016. "Coal power overcapacity and investment bubble in China during 2015–2020," Energy Policy, Elsevier, vol. 97(C), pages 136-144.
  • Handle: RePEc:eee:enepol:v:97:y:2016:i:c:p:136-144
    DOI: 10.1016/j.enpol.2016.07.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421516303615
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2016.07.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhou, Nan & Fridley, David & Khanna, Nina Zheng & Ke, Jing & McNeil, Michael & Levine, Mark, 2013. "China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model," Energy Policy, Elsevier, vol. 53(C), pages 51-62.
    2. Jiahai Yuan & Qi Lei & Minpeng Xiong & Jingsheng Guo & Changhong Zhao, 2014. "Scenario-Based Analysis on Water Resources Implication of Coal Power in Western China," Sustainability, MDPI, vol. 6(10), pages 1-26, October.
    3. 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.
    4. Hu, Zhaoguang & Wen, Quan & Wang, Jianhui & Tan, Xiandong & Nezhad, Hameed & Shan, Baoguo & Han, Xinyang, 2010. "Integrated resource strategic planning in China," Energy Policy, Elsevier, vol. 38(8), pages 4635-4642, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuan, Jiahai & Lei, Qi & Xiong, Minpeng & Guo, Jingsheng & Hu, Zheng, 2016. "The prospective of coal power in China: Will it reach a plateau in the coming decade?," Energy Policy, Elsevier, vol. 98(C), pages 495-504.
    2. Zhang, Ning & Hu, Zhaoguang & Shen, Bo & He, Gang & Zheng, Yanan, 2017. "An integrated source-grid-load planning model at the macro level: Case study for China's power sector," Energy, Elsevier, vol. 126(C), pages 231-246.
    3. Zhang, Yaru & Ma, Tieju & Guo, Fei, 2018. "A multi-regional energy transport and structure model for China’s electricity system," Energy, Elsevier, vol. 161(C), pages 907-919.
    4. Jiayuan Zhou & Yunxia Li & Bo Li, 2022. "Restructure or Misallocation? Enterprises’ Carbon Emission Intensity under Market Integration," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    5. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    6. Garfield Wayne Hunter & Gideon Sagoe & Daniele Vettorato & Ding Jiayu, 2019. "Sustainability of Low Carbon City Initiatives in China: A Comprehensive Literature Review," Sustainability, MDPI, vol. 11(16), pages 1-37, August.
    7. Chen, Yuhong & Lyu, Yanfeng & Yang, Xiangdong & Zhang, Xiaohong & Pan, Hengyu & Wu, Jun & Lei, Yongjia & Zhang, Yanzong & Wang, Guiyin & Xu, Min & Luo, Hongbin, 2022. "Performance comparison of urea production using one set of integrated indicators considering energy use, economic cost and emissions’ impacts: A case from China," Energy, Elsevier, vol. 254(PC).
    8. Igos, Elorri & Rugani, Benedetto & Rege, Sameer & Benetto, Enrico & Drouet, Laurent & Zachary, Daniel S., 2015. "Combination of equilibrium models and hybrid life cycle-input–output analysis to predict the environmental impacts of energy policy scenarios," Applied Energy, Elsevier, vol. 145(C), pages 234-245.
    9. Yanyan Ke & Lu Zhou & Minglei Zhu & Yan Yang & Rui Fan & Xianrui Ma, 2023. "Scenario Prediction of Carbon Emission Peak of Urban Residential Buildings in China’s Coastal Region: A Case of Fujian Province," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    10. Xiangzhao FENG & Oleg LUGOVOY & Sheng YAN & Hu QIN, 2016. "Co-Benefits of CO2 and NOx Emission Control in China’s Cement Industry," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-20, December.
    11. Xiaofeng Lv & Kun Lin & Lingshan Chen & Yongzhong Zhang, 2022. "Does Retirement Affect Household Energy Consumption Structure? Evidence from a Regression Discontinuity Design," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
    12. Francisco Amaral & Alex Santos & Ewerton Calixto & Fernando Pessoa & Delano Santana, 2020. "Exergetic Evaluation of an Ethylene Refrigeration Cycle," Energies, MDPI, vol. 13(14), pages 1-21, July.
    13. Gambhir, Ajay & Tse, Lawrence K.C. & Tong, Danlu & Martinez-Botas, Ricardo, 2015. "Reducing China’s road transport sector CO2 emissions to 2050: Technologies, costs and decomposition analysis," Applied Energy, Elsevier, vol. 157(C), pages 905-917.
    14. Ana Luiza Fontenelle & Erik Nilsson & Ieda Geriberto Hidalgo & Cintia B. Uvo & Drielli Peyerl, 2022. "Temporal Understanding of the Water–Energy Nexus: A Literature Review," Energies, MDPI, vol. 15(8), pages 1-21, April.
    15. Bing Xue & Mario Tobias, 2015. "Sustainability in China: Bridging Global Knowledge with Local Action," Sustainability, MDPI, vol. 7(4), pages 1-7, March.
    16. Zhang, Shicong & Xu, Wei & Wang, Ke & Feng, Wei & Athienitis, Andreas & Hua, Ge & Okumiya, Masaya & Yoon, Gyuyoung & Cho, Dong woo & Iyer-Raniga, Usha & Mazria, Edward & Lyu, Yanjie, 2020. "Scenarios of energy reduction potential of zero energy building promotion in the Asia-Pacific region to year 2050," Energy, Elsevier, vol. 213(C).
    17. Wang, Tian & Deng, Shiming, 2019. "Multi-Period energy procurement policies for smart-grid communities with deferrable demand and supplementary uncertain power supplies," Omega, Elsevier, vol. 89(C), pages 212-226.
    18. Zhou, Wenji & Jiang, Di & Chen, Dingjiang & Griffy-Brown, Charla & Jin, Yong & Zhu, Bing, 2016. "Capturing CO2 from cement plants: A priority for reducing CO2 emissions in China," Energy, Elsevier, vol. 106(C), pages 464-474.
    19. Weiwei Chen & Yibo Wang & Jia Zhang & Wei Dou & Yaxuan Jiao, 2022. "Planning and Energy–Economy–Environment–Security Evaluation Methods for Municipal Energy Systems in China under Targets of Peak Carbon Emissions and Carbon Neutrality," Energies, MDPI, vol. 15(19), pages 1-20, October.
    20. Kosugi, Takanobu, 2016. "Endogenizing the probability of nuclear exit in an optimal power-generation mix model," Energy, Elsevier, vol. 100(C), pages 102-114.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:97:y:2016:i:c:p:136-144. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.