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

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.

The chapter is based on fuzzy logic approaches to machinery failure analysis. Six companies and organisations were used as model validation case studies. At a platinum mining company, the research was based on the root cause analysis technique. The objective was to determine the major causes of failure of the pebble crusher, to estimate between the major crusher failures, and to provide suitable solutions that included the optimization of the crushing circuit. The second application was done on beverages manufacturing companies focusing on the bottle washing process. The third company used a reactive and firefighting maintenance strategy which resulted in frequent catastrophic breakdowns, ever increasing maintenance costs, and long, unplanned plant shutdowns. The fourth was done for a hydropower generation company. The dynamic characteristics of these systems are nonlinear and difficult to predict. The fifth case study application focused on the water gate control and avoidance of its failure. The sixth and final case study application was at a thermal power generation company.


2013 ◽  
Vol 805-806 ◽  
pp. 316-319
Author(s):  
Xiao Li Zhao ◽  
Jin Yao ◽  
Ya Nan Hu

Based on a case study of Jilin province in Northeast China, this paper applied input-output analysis method to contrast different effects of wind power and thermal power generation on local economic growth. The results indicate that the driving effect of wind power on economic growth in the output of per ten thousand Yuan is lower 5205 Yuan than that of thermal power. However, taking serious environmental externalities produced by thermal power generation into account, thermal power economic value will be greatly decreased.


2011 ◽  
Vol 347-353 ◽  
pp. 1117-1126
Author(s):  
Hong Juan Hou ◽  
Jian Mao ◽  
Chuan Wen Zhou ◽  
Min Xing Zhang

Coal is presently the largest source of electricity in China, with the increasing demand for electricity, the problems of environment pollution become more and more severe. In order to solve the problems, all options for power generation by new and renewable energies are enjoying growing attention in recent years. China has abundant solar energy resources and large wasteland areas, which makes China an ideal country for solar thermal power generation development. However, its present higher costs for China made it difficult to promote large-scale. Under this condition solar hybrid with coal thermal power generation becomes the best solution of the problem. In this paper, the feasibility of solar hybrid with coal thermal power generation in China was analyzed from the aspects of environment, policy, investment risk and economics.


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