技术中心

基于遗传算法的太阳能地热复合源热泵系统的优化【英文篇名】 Optimization of solar-ground source heat pump systems based on genetic algorithm 【作者中文名】 杨卫波; 施明恒; 【作者英文名】 Yang Weibo★ and Shi Mingheng Southeast University; Nanjing; China; 【作者单位】 东南大学; 【文献出处】 暖通空调, Heating Ventilating 遗传算法; 集热器面积; 埋管深度; 优化; 【英文关键词】 solar-ground source heat pump system; genetic algorithm; area of solar collector; depth of buried pipe; optimization; 【摘要】 建立了基于部件模型的太阳能地热复合源热泵系统的数学模型,以根据该模型计算出的初投资与运行能耗为优化目标,以集热器面积与埋管深度为优化变量,针对青岛地区的气象条件,采用遗传优化算法对该系统进行了优化设计,并讨论了优化计算结果。 【英文摘要】 Develops a mathematic model for the system based on the component models. Based on the optimization objectives of the initial cost and the operation energy consumption calculated through the system model and the optimization variables of area of solar collector and depth of buried pipes, performs the optimization design for the system applied in Qingdao area by use of the genetic algorithm. Analyses and discusses the optimization results in detail.