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Management Index Systems and Energy Efficiency Diagnosis Model for Power Plant: Cases in China

Author

Listed:
  • Jing-Min Wang
  • XiaoJie Ge
  • LiLi Zhang
  • Hang Zhang

Abstract

In recent years, the energy efficiency of thermal power plant largely contributes to that of the industry. A thorough understanding of influencing factors, as well as the establishment of scientific and comprehensive diagnosis model, plays a key role in the operational efficiency and competitiveness for the thermal power plant. Referring to domestic and abroad researches towards energy efficiency management, based on Cloud model and data envelopment analysis (DEA) model, a qualitative and quantitative index system and a comprehensive diagnostic model (CDM) are construed. To testify rationality and usability of CDM, case studies of large-scaled Chinese thermal power plants have been conducted. In this case, CDM excavates such qualitative factors as technology, management, and so forth. The results shows that, compared with conventional model, which only considered production running parameters, the CDM bears better adaption to reality. It can provide entities with efficient instruments for energy efficiency diagnosis.

Suggested Citation

  • Jing-Min Wang & XiaoJie Ge & LiLi Zhang & Hang Zhang, 2016. "Management Index Systems and Energy Efficiency Diagnosis Model for Power Plant: Cases in China," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-13, September.
    • Handle: RePEc:hin:jnlmpe:8159871
    DOI: 10.1155/2016/8159871
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    Cited by:

    1. Milica Jović & Mirjana Laković & Miloš Banjac, 2018. "Improving the energy efficiency of a 110 MW thermal power plant by low-cost modification of the cooling system," Energy & Environment, , vol. 29(2), pages 245-259, March.

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