基于遗传算法的增压富氧燃煤锅炉受热面结构优化  

Structural optimization for heating surface of pressurized oxy-fuel coal-fired boiler based on genetic algorithm

作　　者：马凯[1] 阎维平[1] 苏宏亮[1] 

机构地区：[1]华北电力大学能源动力与机械工程学院,河北保定071003

出　　处：《华北电力大学学报（自然科学版）》2013年第2期59-65,共7页Journal of North China Electric Power University：Natural Science Edition

基　　金：国家高技术研究发展863计划专项经费资助项目(2009AA05Z310);中央高校基本科研业务费专项资金资助(12QX25)

摘　　要：增压富氧燃烧技术是一项极具前景的燃煤电厂零排放技术。增压富氧燃烧下,烟气特性及锅炉结构发生很大变化。文中以火用经济分析为基础,以单位换热量换热器总费用为目标函数,采用遗传算法对增压富氧燃烧下的锅炉对流受热面进行优化,得到受热面最佳结构布置。结果表明:与常规空气燃烧相比,优化后的增压富氧燃烧下烟气流速降低了约80%,烟气侧传热系数增大了4～5倍,烟道尺寸大大减小,烟道截面积仅为原来的13%。The pressurized oxy-fuel combustion technology is a promising zero-emission technology of coal-fired power plant. The flue gas properties and boiler structure will change greatly under pressurized oxy-fuel combus- tion. The paper applied genetic algorithm to optimize the boiler convection heating surface based on exergy-eco- nomic analysis, to the total cost per quantity of heat transfer as the objective function, and the optimum structural arrangement was obtained. The results shows： compared with the conventional air combustion, the flue gas veloci- ty decreased by about 80% , the heat transfer coefficient of flue gas side increased by 4 - 5 times, and the flue size reduced greatly, the flue cross-sectional area was only 13 % of the original after optimization under pressurized oxy-fuel combustion.

关 键 词：增压富氧 对流受热面 遗传算法 优化 

分 类 号：TK222[动力工程及工程热物理—动力机械及工程]