Reserarch On NOx Reduction Method For Coal-Fired Power Unit Based On Genetic Algorithm

NOx emissions of boilers are the hot issues of thermal power industry in recentyears. Boiler is the main source of NOx emissions. To reduce its NOx emissions ismust. Oxygen consumption, NOx emissions is relevant with boiler combustion swingangle, load, steam temperature, the baffle opening, the coal grinding, coal quality andother parameters.The genetic algorithm has strong advantage compared with other models. It canbe used in complex systems. Genetic algorithm can choose a variety of differentschemes for automatic calculation. It has the advantages of simple operation, fastconvergence and global optimization search ability. It has a good predicted ability.According to the statistical analysis data, the complex data can be converted into alinear analysis data. Then the parameter combination is selected for multiple linearregression analysis. The regression results are judged and the regression is optimized.Finally the best solution is selected. Using the data model can estimate the parameters,which can analyze some specific parameters.Actual recorded data of Shanghai W#7boiler plant is used in the paper. Oxygenconsumption, NOx emissions is relevant with boiler combustion swing angle, load,steam temperature, the baffle opening, the coal grinding, coal quality are used toanalysis by using genetic algorithm. Then the NOx emission model is established. Themodel parameters are optimized, such as SOFA damper baffle opening height and tiltangle. Finally the best solution of NOx emissions is given.Finally, the simulation is calculated with actual data. The result is accuracy andsatisfactory practical application. The genetic algorithm model and method not onlyensure NOx emission reduction, but also consider the set temperature and othereconomic factors. It provides a new way for thermal power plant in energy-savingemission reduction.