制冷技术2023，Vol.43Issue(4)：40-45,6.DOI:10.3969/j.issn.2095-4468.2023.04.201
基于粒子群优化算法的中央空调系统能耗优化研究
Research on Energy Consumption Optimization of Central Air Conditioning System Based on Particle Swarm Optimization Algorithm
摘要
Abstract
In order to study the operating energy consumption status of the central air-conditioning system,a data-driven energy consumption model and particle swarm optimization algorithm(PSO)have been established.The operating parameters and control logic adjusted during the optimization process are analyzed,and the optimal parameters of the air conditioning system under different cooling load operating conditions are obtained.Finally,the actual data is finally used to verify the optimization method.The results show that:under the specific conditions of use in the factory,the power consumption of the chiller accounts for more than 80%of the total power consumption,and the optimization prospect is huge;based on the particle swarm optimization algorithm,by extending the running time of the chiller unit and increasing the flow of chilled water,The power consumption per unit cooling load of process air-conditioning and living air-conditioning systems has been reduced by 29.13%and 12.32%respectively.关键词
中央空调系统/能耗/粒子群优化算法Key words
Central air conditioning system/Energy consumption/Particle swarm optimization algorithm分类
通用工业技术引用本文复制引用
薛扬帆,陈康,晋欣桥,杜志敏..基于粒子群优化算法的中央空调系统能耗优化研究[J].制冷技术,2023,43(4):40-45,6.基金项目
国家自然科学基金(No.51876119),浦江人才计划(No.17PJD017). （No.51876119）
