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Monitoring of Operation Efficiency Module of Coal Fired Power Plant

  • Shiyi Guo
  • , Xin Chen
  • , Chao Cao
  • , Jingcheng Wang
  • , Bohui Wang
  • Shanghai Electric and Power Station Equipment Co.
  • Shanghai Jiao Tong University
  • Xidian University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In the boiler system, the combustion process and heat transfer process in the furnace are the two most critical steps. Increasing combustion efficiency and heat transfer efficiency is conducive to energy saving and consumption reduction, increasing the economic benefits of coal fired power stations, and having a greater impact on the operational economics of boiler equipment. The thermal efficiency of the boiler, the ratio of the effective fuel heat input to the furnace and the effective heat output, is a sign of the economics of combustion and heat transfer. According to China's power industry standards (DL/T 904-2015), the main impact modules of coal fired power plants are boilers, steam turbines and auxiliary engines. The corresponding power plant systems are divided into boiler modules, turbine modules and auxiliary modules. Based on the operational data modeling, this paper calculates the key performance indicators of these three modules to achieve module performance monitoring. Providing optimization and improvement direction and judgment basis for energy saving and economic operation of coal fired power stations.

Original languageEnglish
Title of host publicationProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4713-4718
Number of pages6
ISBN (Electronic)9781728101057
DOIs
StatePublished - Jun 2019
Externally publishedYes
Event31st Chinese Control and Decision Conference, CCDC 2019 - Nanchang, China
Duration: 3 Jun 20195 Jun 2019

Publication series

NameProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

Conference

Conference31st Chinese Control and Decision Conference, CCDC 2019
Country/TerritoryChina
CityNanchang
Period3/06/195/06/19

Keywords

  • Boiler Thermal Efficiency
  • Data Modeling
  • Soft Measurement Model

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