城市原生污水源热泵最优化研究  

Optimization design of untreated sewage source heat pump

作　　者：吴学慧[1] 孙德兴[1] 

机构地区：[1]哈尔滨工业大学市政环境工程学院,黑龙江哈尔滨150090

出　　处：《可再生能源》2007年第6期43-46,共4页Renewable Energy Resources

基　　金：北京市"供热;供燃气;通风及空调工程"重点实验室开放课题(KF200503);国家自然科学基金委员会资助项目(50578048)

摘　　要：根据现有城市原生污水源热泵的投资和运行等经济和技术特点,以系统的费用年值为目标函数,系统的冬夏季蒸发温度、冷凝温度、污水换热器出水温度、污水取水系统的管径等为优化变量,建立了系统综合优化的数学模型。在满足系统供冷、供热的可靠运行的条件下,利用遗传算法理论,并使用Matlab7.1遗传算法工具箱对系统的运行参数及机组部件的设计参数进行了优化选择,实现了系统费用年值最小的目标。优化结果与传统设计结果相比费用年值节省约6%。According to the characteristic of the technology, economy of investment and the operation of city untreated sewage source heat pump system, with the annual cost as the object function, the mathematics models were set. The optimization variables are evaporating temperature, condensation temperature, temperature of sewage in heat exchangers outlets in summer and winter and the pipe diameters of intake of sewage. Base on credible operation of system refrigeration and heating, the parameters of operation and parts of system are selected by using genetic algorithm theory and genetic algorithm toolbox of MATLAB7.1. And the annual cost minimization is achieved. About 6% of the cost is saved by comparison with traditional design.

关 键 词：遗传算法 污水源热泵 数学模型 优化设计 

分 类 号：TK11[动力工程及工程热物理—热能工程] X703[环境科学与工程—环境工程]