Numerical Simulation of Operation Optimization of Coalfired MHD Generator Using Genetic Algorithms

The study on the application of Genetic Algorithms(GA) to numerical simulation has been carried out. The simulation with GA is aimed at to realize the operation optimization of the coal fired MHD generator channel. The computer program for this purpose has been developed. By simulating numerically the operation optimization of IEE’s 25MWt coal fired experimental MHD generator, the feasibility of the application of GA procedure to the MHD power generation field has been verified.

基于数值计算的煤粉锅炉NO_x释放规律研究

运用基于TASCFLOW软件平台的四角切圆燃烧煤粉锅炉专用数值模拟计算软件COALFIRE,对某电厂300MW四角切圆煤粉锅炉NOx排放特性进行数值模拟。讨论煤质、煤粉粒度、锅炉负荷、二次风配风方式的影响,指出炉膛沿程NOx的排放规律,为锅炉的安全经济运行提供参考。模拟结果表明:燃煤挥发分和含氮量高的煤,NOx析出浓度也比较高;较细的煤粉有利于降低NOx的生成;机组负荷下降20%,NOx下降6.74%。机组负荷下降40%,NOx下降到383mg/m3,下降了约28%;倒宝塔配风有利于降低NOx生成,三次风投运时NOx排放浓度比停运时低11%。