Experimental and Simulation Investigations of Combustion Optimization on a 125 MW Tangentially Anthracite-fired Boiler
Experimental and simulation investigations of combustion optimization were performed on a 125 MW tangentially, anthracite- fired boiler. The experiments including forty cases by burning three pure and five blended coals were firstly carried out under the different O2 concentrations in flue gas and distribution modes for secondary air. The results show that a reverse V-shaped operating for the secondary air mode and O2 concentration of 3%-4% is favorable to decrease the unburned carbon content in the fly ash and obtain the high boiler efficiency. After that, the BP artificial neural network technology was adopted to develop a simple network model between coal quality, boiler operating conditions and the boiler efficiency. The most important and representative parameters such as Var and Qnet,ar from approximate analysis, distribution mode for the secondary air and O2 concentration in flue gas at the furnace exit, were chosen as input parameters. The distribution mode for secondary air was denoted by the ratio of the damper opening values between upper and lower secondary air. Then a preprocessor method of approximate optimizing, based on the above model, was proposed to optimize the combustion performance of the boiler and establish an information library of combustion optimization for the boiler. Finally, validation tests were conducted to check the applications of the optimum information library.
Coal quality Distribution mode for secondary air Neural network Combustion optimization Optimum information library
Danping SUN Qingyan FANG Huajian WANG Huaichun ZHOU
State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, P. R. China
国际会议
2007杭州国际动力工程会议(The International Conference on Power Engineering 2007)
杭州
英文
2007-10-23(万方平台首次上网日期,不代表论文的发表时间)