摘要
针对目前中央空调系统能耗占建筑总能耗比例较高,在工频运行模式下能源浪费严重的问题,通过辨识压缩机、冷冻水泵、冷却水泵的运行数学模型,以冷负荷需求为约束,建立遗传算法(Genetic Algorithm,GA)优化模型,找到不同负荷率下系统能效比最高的频率匹配方式。将优化结果于实验台进行验证,与工频运行结果进行比较,系统平均能效比提高53.6%,平均节能率为35.95%。
At present, the energy consumption of central air-conditioning system accounts for a higher proportion of the total energy consumption of the building,which is more serious in the power frequency operation mode.In this paper, by identifying the running mathematical models of the compressor, the freezing water pump and the cooling water pump, taking the cooling load demand as the constraint, the genetic algorithm optimization model was established.The frequency matching mode was found with the highest energy efficiency ratio under different load rates. The optimization results were verified on the experimental table and compared with the results of power frequency operation. The average EER of the system increases by 53.6% and the average energy saving rate is 35.95%.
作者
俞倩
蒋云凤
王玉刚
耿丽萍
赵晓东
Yu Qian;Jiang Yunfeng;Wang Yugang;Geng Liping;Zhao Xiaodong(College of Metrology and Measurement,China Jiliang University,Hangzhou 310018,China;China United Engineering Co.Ltd,Hangzhou 310022,China)
出处
《低温与超导》
CAS
北大核心
2019年第11期66-71,共6页
Cryogenics and Superconductivity
关键词
中央空调
遗传算法
变频
能效比
节能
Central air-conditioning
Genetic algorithm
Frequency conversion
EER
Energy saving
