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电站锅炉NOx排放与效率的混合建模及优化
引用本文:李素芬,吴祯祥,葛玉林.电站锅炉NOx排放与效率的混合建模及优化[J].热科学与技术,2007,6(1):26-31.
作者姓名:李素芬  吴祯祥  葛玉林
作者单位:大连理工大学,能源与动力学院,辽宁,大连,116024;大连理工大学,能源与动力学院,辽宁,大连,116024;锦州石油化工公司,设计院,辽宁,锦州,121001
摘    要:由于锅炉设备庞大,运行条件复杂,煤种多变等因素,很难建立锅炉NOx排放与效率的函数模型。利用最小二乘支持向量机(LS-SVM)建立了以锅炉NOx排放与热效率为输出的混合模型,并对此模型进行了校验。结果表明,该模型具有调节参数少、运算速度快、结果稳定、预测精度高等优点,可以根据燃煤特性以及各操作参数准确预报锅炉在不同工况下的NOx排放和效率。针对模型的多目标优化问题,采用多目标粒子群优化算法MOPSO(multiple objective particle swarm optimization)对某工况进行优化仿真,在提高效率的同时降低了NOx排放。

关 键 词:电站锅炉  氮氧化物  效率  最小二乘支持向量机  多目标粒子群优化算法
文章编号:24006085
修稿时间:11 21 2006 12:00AM

Mixed modeling and optimization of NOx emission and efficiency for power plant boiler
LI Su-fen,WU Zhen-xiang,GE Yu-lin.Mixed modeling and optimization of NOx emission and efficiency for power plant boiler[J].Journal of Thermal Science and Technology,2007,6(1):26-31.
Authors:LI Su-fen  WU Zhen-xiang  GE Yu-lin
Affiliation:1. School of Energy and Power Eng. , Dalian Univ. of Tech. , Dalian 116024, China; 2. Design Inst. of Jinzhou Petrochem. Co., Jinzhou 121001, China
Abstract:It is very difficult to develop the NOx emission and efficiency model because of the huge boiler architecture,the complex operating conditions,the large variation of the coal used and so on.A mixed model for boiler NOx emission and its efficiency was established by the Least Square Support Vector Machines(LS-SVM).The model can predict the NOx emission and boiler efficiency simultaneously with fast calculating speed and high accuracy under various operating conditions.The multiple objective particle swarm optimization(MOPSO) was introduced to solve the multiple objective problems.The simulation shows the proposed algorithm can increase boiler efficiency and reduce its NOx emission in one single run.
Keywords:utility boiler  NOx  efficiency  LS-SVM  MOPSO
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