华南理工大学学报（自然科学版）2025，Vol.53Issue(7)：80-92,13.DOI:10.12141/j.issn.1000-565X.240412
基于IBK-IPS的电驱车间空调系统节能优化方法
An Energy-Saving Optimization Method of Air-Conditioning System for Electric Drive Workshop Based on IBK-IPS Algorithm
摘要
Abstract
To address the problems of high operational energy consumption and low efficiency in air-conditioning system for electric drive workshops,this paper proposed a dynamic energy-saving optimization method based on the IBK-IPS algorithm,taking into account the mutual constraints of each equipment of the air-conditioning system.Firstly,the influence mechanism among system components were analyzed,and mathematical models of energy consumption and constraints conditions for each device were established to an objective function for system energy consumption.Then,an improved Black Kite-Particle Swarm(IBK-IPS)algorithm was introduced to optimize operational parameters such as water temperature,flow rate,and air volume,thereby improving the accuracy and effectiveness of system parameter control.Subsequently,a simulation model of the cooling water system and chilled water system of the air-conditioning system is developed using the Simulink platform to evaluate the performance and accuracy of the parameter optimization.Finally,the method is practically applied in an electric drive workshop to verify the practical effect and feasibility of the proposed method.The results of simulation experiments and practical application tests show that:the operational energy consumption of the system is effectively reduced,achieving an energy-saving rate of 11.23%～34.68%,and improves operational energy efficiency by 11.53%～41.75%.Compared with the PS,BK,and BK-PS algorithms,the IBK-IPS algorithm delivers superior energy-saving performance,with convergence speeds improved by 27.27%,61.90%,and 69.23%,respectively.In real-world testing under five different load conditions,the optimized system achieved energy-saving rates of 22.61%,17.24%,7.48%,14.97%,and 12.64%,respectively.In summary,the energy-saving optimization method proposed in this paper can effectively solve the problem of high energy consumption and low efficiency of the air-conditioning system operation in the electric drive workshop,which has good energy-saving effect and practicability,and can provide new ideas for the research of energy-saving optimization of air-conditioning system.关键词
电驱车间/空调系统/相互约束/改进的黑翅鸢与粒子群算法/动态节能优化方法Key words
electric drive workshop/air-conditioning system/mutual constraint/improved black-winged kite and particle swarm algorithm/dynamic energy-saving optimization method分类
信息技术与安全科学引用本文复制引用
龚小容,王鑫,熊维清,王溏靓,张洪铭..基于IBK-IPS的电驱车间空调系统节能优化方法[J].华南理工大学学报（自然科学版）,2025,53(7):80-92,13.基金项目
国家自然科学基金项目(52405532) （52405532）
重庆市自然科学基金项目(CSTB2024NSCQ-MSX0425) （CSTB2024NSCQ-MSX0425）
重庆市教育委员会科学技术研究项目(KJQN202401136) （KJQN202401136）
重庆理工大学国家"两金"培育项目(2023PYZ022) （2023PYZ022）
重庆理工大学科研启动项目(2023ZDZ046)Supported by the National Natural Science Foundation of China(52405532),the Natural Science Foundation of Chongqing City(CSTB2024NSCQ-MSX0425)and the Science and Technology Research Program of Chongqing Municipal Education Commission(KJQN202401136) （2023ZDZ046）
