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基于遗传算法的冷水机组运行优化策略研究
引用本文:张旭豪,晋欣桥,杜志敏,范波,颜健. 基于遗传算法的冷水机组运行优化策略研究[J]. 建筑热能通风空调, 2011, 30(3): 15-18
作者姓名:张旭豪  晋欣桥  杜志敏  范波  颜健
作者单位:上海交通大学机械与动力工程学院
摘    要:本文通过采用回归方法获得冷水机组性能系数(COP)与部分负荷率(PLR)的关系,并建立各台冷水机组能耗方程,利用遗传算法求解其最小值,从而获得各冷水机组所承担的最优负荷比率,同时根据某一实际建筑计算了其全年的冷负荷率时间分布情况,在此基础对系统冷水机组全年的运行情况进行了优化,从而达到5.7%的节能效果。

关 键 词:冷水机组  部分负荷率  遗传算法  运行优化

Optimal Operation of the Chiller System based on Genetic Algorithm
ZHANG Xu-hao,JIN Xin-qiao,DU Zhi-min,FAN Bo,YAN Jian. Optimal Operation of the Chiller System based on Genetic Algorithm[J]. Building Energy & Environment, 2011, 30(3): 15-18
Authors:ZHANG Xu-hao  JIN Xin-qiao  DU Zhi-min  FAN Bo  YAN Jian
Affiliation:ZHANG Xu-hao,JIN Xin-qiao,DU Zhi-min,FAN Bo,YAN Jian School of Mechanical Engineering,Shanghai JiaoTong University
Abstract:Based on the relational function of COP and PLR by the regression method and the objective function of each chiller's energy consumption,this paper employs Genetic Algorithm(GA) method for solving the least function value which can be used to obtain optimal PLR of each chiller.And on the basis of calculation of time distribution of a building's annual cooling load,the annual operating condition of the chillers can be optimized to save energy up to 5.7%.
Keywords:chiller  part load ratio  genetic algorithm  optimal operation  
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