Study On Online Foul Monitoring And Sootblowing Optimization Of Convection Surface For Pulverized Power Plant Boilers

Ash deposition on boiler heat exchange surfaces is a common phenomenon in fossil fuel fired power plant. This thesis focuses on the building a suitable model of soot deposition status of heat surfaces, and constructs an online monitoring system for convection heat change surfaces based on the built model. All of the work is based on the No.3 boiler in Shouyangshan Power Plant.First, the thesis introduces the endangerment of soot deposition on boiler heat exchange surfaces. In order to reduce the loss due to fouling of the heat exchange surfaces and improve economic efficiency of the boiler, it is necessary to monitor the fouling statues of boiler heat exchange surfaces and predict its development, then can we schedule sootblowers properly.Subsequently, the thesis makes a comparison of other fouling monitoring systems for boiler heat exchange surface. And the thesis introduces the softwares and hardwares of common sootblowing systems, which are the fundaments of sootblowing optimization.Based on the data from MIS of Shouyanshan Power Plant, the thesis puts forwards fouling monitoring models for boiler heat exchange surfaces. Cleanliness factor is used to assess the fouling statues of each surface. After building the model of the boiler, an online fouling monitoring system is developed.Then a fuzzy controller is discussed for sootblowing optimization. Cleanliness factor, surface temperature of heat exchange tubes and boiler load are used as inputs of the fuzzy controller. Finally, the thesis summarizes the studies and puts forward problems for further studies.