IDEAS home Printed from https://ideas.repec.org/a/eee/recore/v121y2017icp93-102.html
   My bibliography  Save this article

Policy and case study on heat and power cogeneration and industrial centralized heat supply in China

Author

Listed:
  • Li, Yuzhong
  • Chang, Jingcai
  • Yong, Dong
  • Huan, Qingchao
  • Ma, Chunyuan

Abstract

Air pollution represented by haze in China has attracted great global attention in recent years. China has recently introduced a series of action plans to improve air quality and prevent air pollution. Remediation on small coal-fired boilers and the development of heat and power cogeneration (HPC) and centralized heat supply (CHS) are important measures for preventing air pollution. This paper introduces the above mentioned policies. An industrial park in Guangdong Province, China, is taken as an example to analyze the contributions of HPC-based industrial CHS to energy saving and environmental protection. The benefits to the heat supplier and user are also analyzed. Furthermore, this paper presents the difficulties and challenges in developing industrial CHS, including mismatching in the early phase, price dispute, measure dispute, and negative inter-effects. The reasons for these problems are analyzed and possible solutions are provided.

Suggested Citation

  • Li, Yuzhong & Chang, Jingcai & Yong, Dong & Huan, Qingchao & Ma, Chunyuan, 2017. "Policy and case study on heat and power cogeneration and industrial centralized heat supply in China," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 93-102.
    • Handle: RePEc:eee:recore:v:121:y:2017:i:c:p:93-102
    DOI: 10.1016/j.resconrec.2016.04.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S092134491630091X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resconrec.2016.04.007?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. Cheng, Chuntian & Li, Shushan & Li, Gang, 2014. "A hybrid method of incorporating extended priority list into equal incremental principle for energy-saving generation dispatch of thermal power systems," Energy, Elsevier, vol. 64(C), pages 688-696.
    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. Niu, Wen-jing & Feng, Zhong-kai & Cheng, Chun-tian, 2018. "Optimization of variable-head hydropower system operation considering power shortage aspect with quadratic programming and successive approximation," Energy, Elsevier, vol. 143(C), pages 1020-1028.
    2. Feng, Zhong-kai & Niu, Wen-jing & Wang, Sen & Cheng, Chun-tian & Jiang, Zhi-qiang & Qin, Hui & Liu, Yi, 2018. "Developing a successive linear programming model for head-sensitive hydropower system operation considering power shortage aspect," Energy, Elsevier, vol. 155(C), pages 252-261.
    3. Meng, Ming & Pang, Tingting & Li, Xinxin & Niu, Yi, 2024. "Production decision analysis of China's fossil fuel power enterprises in dual market conditions," Energy, Elsevier, vol. 292(C).
    4. Lu, Xueding & Li, Chaoshun & Liu, Dong & Zhu, Zhiwei & Tan, Xiaoqiang & Xu, Rongli, 2023. "Comprehensive stability analysis of complex hydropower system under flexible operating conditions based on a fast stability domain solving method," Energy, Elsevier, vol. 274(C).
    5. Bin Xu & Yufei Ma & Ping-an Zhong & Zhongbo Yu & Jianyun Zhang & Feilin Zhu, 2018. "Bargaining Model of Synergistic Revenue Allocation for the Joint Operations of a Multi-Stakeholder Cascade Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4625-4642, November.
    6. Yuan, Guanghui & Yang, Weixin, 2019. "Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA)," Energy, Elsevier, vol. 183(C), pages 926-935.
    7. Shiyi Chen & Wei Chen & Ahsanullah Soomro & Lijuan Luo & Wenguo Xiang, 2020. "Multi-objective economic emission dispatch of thermal power plants based on grey relational analysis and analytic hierarchy process," Energy & Environment, , vol. 31(5), pages 785-812, August.

    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:recore:v:121:y:2017:i:c:p:93-102. 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: Kai Meng (email available below). General contact details of provider: https://www.journals.elsevier.com/resources-conservation-and-recycling .

    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.