空调冷水系统最小能耗粒子群组合优化方法研究  

Particle swarm optimization method for minimum energy consumption of air conditioning chilled water systems

作　　者：邢杉硕 张吉礼[1] 于昊[1] Xing Shanshuo;Zhang Jili;Yu Hao(Dalian University of Technology,Dalian,Liaoning Province,China)

机构地区：[1]大连理工大学

出　　处：《暖通空调》2021年第1期108-113,22,共7页Heating Ventilating & Air Conditioning

基　　金：国家重点研发计划项目“新型建筑智能化系统平台技术”(编号:2017YFC0704100);中央高校基本科研业务费资助项目(编号:DUT17ZD232);国家自然科学基金项目(编号:51578102)。

摘　　要：针对“先并后串”的一级泵变流量系统,基于粒子群算法,提出了冷水分布式全局优化方法,该方法对冷水机组的部分负荷率、蒸发温度和水泵转速比进行了优化,同时可以得到并联冷水机组和并联水泵的启停组合,并且能够满足分布式的计算要求。通过一个典型制冷站冷水系统案例的仿真测试,验证了该算法的有效性和节能效果。Aiming at the variable flow system of primary pumps with“parallel first and then series”,proposes a distributed optimization method of chilled water based on particle swarm optimization algorithm,which optimizes the partial load rate,evaporating temperature and pump speed ratio of chillers,and obtains an on-off combination of parallel water chillers and parallel pumps,meeting the requirements of distributed calculation.Verifies the effectiveness and energy-saving effect of the algorithm by a simulation test of a chilled water system in a typical refrigeration station.

关 键 词：冷水系统 冷水机组 最小能耗 粒子群 优化方法 分布式系统 智能节点 

分 类 号：TU831[建筑科学—供热、供燃气、通风及空调工程]