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基于遗传算法的冷水机组负荷分配与出水温度的优化 被引量:8

Load distribution of chillers and the optimum of its outlet water based on genetic algorithm
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摘要 根据冷水机组的能耗与其部分负荷率的相关特性,提出基于遗传算法的冷水机组最小能耗的优化分配,从而获得各台机组的负荷分配率以及在此分配下的冷机出水温度优化设定,并对该分配进行MATLAB仿真。结果表明,该策略能够优化机组的运行并降低系统能耗。 According to the correlation properties between energy consumption and PLR(part load ratio) of chiller,presents an optimal load distribution of multiple-chillers based on genetic algorithm to obtain optimal load distribution rate and the relative outlet water temperature.Carries out the simulation for the load distribution with MATLAB.The results show that the optimal strategy proposed could optimize chillers operation and reduce energy consumption.
出处 《制冷与空调》 2011年第2期37-40,共4页 Refrigeration and Air-Conditioning
关键词 冷水机组 负荷分配率 出水温度 遗传算法 chiller load distribution rate outlet water temperature genetic algorithm
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