Study on Energy Consumption Characteristics During Transient Processes of a 660MW Coal-fired Power Plant With Different Load-Variation Rates

  • Chaoyang Wang
  • , Bingxin Li
  • , Guoyao Miao
  • , Yiwen Liu
  • , Ming Liu
  • , Junjie Yan

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Thermal power plants are involved in load regulations of the electric grid. Therefore, operation with significant load variations becomes a normal working state of thermal power plants. In order to get the energy consumption characteristics of power plants during transient processes, the dynamic models of a 660MW unit were developed based on GSE software, in which the heat storage and control systems of power plant were taken into account. The energy consumption of the power plant with different load-variation rates were obtained, which were compared with results calculated with the steady state models. Results show that, compared with results obtained with steady state models, the standard coal consumption increases 2.2g/(kW·h) at most during loading up process and decreases 2.04g/(kW·h) at most during loading down. The differences of the average coal consumption rates between the dynamic models and the steady state models are not same with different load-variation rates. The maximum difference of average coal consumption between the dynamic models and the steady state models is 0.72g/(kW·h) and 0.27g/(kW·h) during the loading up and loading down process, respectively.

Original languageEnglish
Pages (from-to)5665-5673
Number of pages9
JournalZhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Volume37
Issue number19
DOIs
StatePublished - 5 Oct 2017

Keywords

  • Energy consumption
  • Heat storage
  • Load variation rate
  • Thermal power unit
  • Transient processes

Fingerprint

Dive into the research topics of 'Study on Energy Consumption Characteristics During Transient Processes of a 660MW Coal-fired Power Plant With Different Load-Variation Rates'. Together they form a unique fingerprint.

Cite this