Fuzzy Logic Application and Condition Monitoring of Critical Equipment in a Thermal Power Generation Company

Fuzzy Logic Application and Condition Monitoring of Critical Equipment in a Thermal Power Generation Company

Copyright: © 2018 |Pages: 46
DOI: 10.4018/978-1-5225-3244-6.ch009

Abstract

The final case study application was at a thermal power generation company. In large-scale industrial applications, the controlling and optimization of the parameters must be done efficiently and effectively so as to attain smooth operation of the plant. In this research, the main control parameters in the boiler were identified as coal flows, temperatures in the combustion zone, air-to-fuel ratio and ash content, that is, the percentage of ash in raw coal, and mineral content. These parameters are monitored to avoid clinker formation in the super heater tubes of the boiler. Condition-based maintenance (CBM) approaches were used to monitor the boiler parameters. Fuzzy logic was applied in the monitoring of these parameters.
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Statement Of Problem

Formation of clinkers on platen super heater tubes of stage 2 unit 6 boiler, is a serious problem causing platen super heater tube leaks, poor heat transfer to the steam which then results in forced outage, increase in down time of the boiler, and generation losses. The main aim of the project is to find out the causes of clinker formation on the unit 6 platen superheaters and to come up with an intelligent CBM program for monitoring the boiler parameters. The objectives of this research are:

  • To come up with an intelligent CBM program and to recommend ways to avoid clinker formation

  • To find causes of clinker formation on platen super heater elements and come up with solutions to reduce the number of downtime hours by more than 240hours per year

  • Reduce Unplanned Outages by 50%.

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