Study On Fouling Monitoring And Sootblowing Optimization System For Power Plant

Domestic power stations mostly take coal as their fuel. During the operation of coal-fried boiler, the interior surfaces inevitably encounter fouling problems. Fouling can has an adverse effect on the security, reliability and economy of units. Sootblowing is an effective method to clean fouling and enhance boiler heating surfaces performance. But operations of the sootblowers are based on people's experice. It is hard to ensure the benefit by sootblowing every interior surfaces time.Base on Economics, this papers lucubrate the application of fouling monitoring and sootblowing optimization.In this paper a slagging and fouling monitoring system is put forward to monitor the degree of boiler. According to the data of the DCS System, different models are constituted because of the different heating-fashions. To make things comprehensible,use CF to monitor all the parts's fouling in application.As to the fouling monitoring of convective surfaces, a fouling monitoring model is developed based on the heat balance theory. A model based on the difference of flue gas pressure is developed to monitor air-heater's fouling. The focus of this thesis is on investigating the application of neural network approaches to monitoring ash fouling. The monitoring ash fouling model is trained through a Back Propagation (BP) algorithm. Therefore, the arithmetic is greatly improved and more suitable for the learning of neural networks by improved BP networks. By this arithmetic radiate heating surface is monitored.Based on fouling monitoring of boiler,this papers studied on method based on minimal cleanliness factor to determine sootblowing opportunity, method based on best frequency to calculate critical cleanliness,method base on the principle of maximal heat income caused by sootblowing to determine sootblowing period, method based on the principle of safety first to determine sootblowing schedule.All the above methods together can determine the correct schedule to sootblowing system. Based on these theories,this paper design the software of sootblowing optimization system of First Boiler of LuoHe Power Plant. A large number of soot-blowing experiments are taken. The results show that the models could correctly reflect the alteration of the smudginess coefficiency and give the advice of on-line soot-blowing to the operators.