%0 Journal Article
%T The Utility Boiler Low NOx Combustion Optimization Based on ANN and Simulated Annealing Algorithm<br>神经网络与模拟退火算法结合的锅炉低NOx燃烧优化
%A Zhou Hao
%A Qian Xinping
%A Zheng Ligang
%A Weng Anxin
%A Cen Kefa
%A <br>周昊
%A 钱欣平
%A 郑立刚
%A 翁安心
%A 岑可法
%J 环境科学
%D 2003
%I 
%X With the developing restrict environmental protection demand, more attention was paid on the low NOx combustion optimizing technology for its cheap and easy property. In this work, field experiments on the NOx emissions characteristics of a 600 MW coal-fired boiler were carried out, on the base of the artificial neural network (ANN) modeling, the simulated annealing (SA) algorithm was employed to optimize the boiler combustion to achieve a low NOx emissions concentration, and the combustion scheme was obtained. Two sets of SA parameters were adopted to find a better SA scheme, the result show that the parameters of T0 = 50 K, alpha = 0.6 can lead to a better optimizing process. This work can give the foundation of the boiler low NOx combustion on-line control technology.
%K utility boiler
%K NOx emission
%K simulated annealing algorithm<br>锅炉
%K 氮氧化物
%K 模拟退火算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=3FF3ABA7486768130C3FF830376F43B398E0C97F0FF2DD53&cid=A7CA601309F5FED03C078BCE383971DC&jid=64CD0AA99DD39F69401C615B85F123EF&aid=CB8B3F7882216AC1&yid=D43C4A19B2EE3C0A&vid=B91E8C6D6FE990DB&iid=B31275AF3241DB2D&sid=E84BBBDDD74F497C&eid=5D71B28100102720&journal_id=0250-3301&journal_name=环境科学&referenced_num=0&reference_num=5