RESEARCH ON APPLICATIONS OF MULTI-OBJECTIVE OPTIMIZATION ALGORITHM TO COMBUSTION OPTIMIZATION IN A COAL-FIRED BOILER
Coal-fired boiler operation is confronted with two requirements of reducing the operating cost and the contamination emission. More and more attention is paid to the multi-objective optimization problem of high boiler efficiency and low NOx emission. Based on the NOx emission and boiler efficiency response characteristics model, the multi-objective optimization genetic algorithm was applied to solve the multi-objective optimization control problem of high efficiency and low emission boiler combustion. Numerical optimization results show that the proposed optimization algorithm can provide feasible optimal control strategy for the multi-objective optimization problem of high efficiency and low emission boiler combustion.
multi-objective optimization algorithm Pareto combustion optimization NOz emission boiler efficiency
Lu LU Peihong WANG Jinguo LEI
Department of Air Four Stations, Xuzhou Air Force College, Xuzhou, 221000, Peoples Republic of Chin College of Energy and Environment, Southeast University, Nanjing, 210096, Peoples Republic of China
国际会议
第六届煤燃烧国际会议(The 6th International Symposium on Coal Combustion)
武汉
英文
211-217
2007-12-01（万方平台首次上网日期，不代表论文的发表时间）