Xiangyu Zhou, Jing Li, Jiyan Liu, Qinghua Wu, Jie Huang
{"title":"Research on Optimization Strategy of Central Air-conditioning System for Power Demand Response","authors":"Xiangyu Zhou, Jing Li, Jiyan Liu, Qinghua Wu, Jie Huang","doi":"10.1145/3565387.3565425","DOIUrl":null,"url":null,"abstract":"In order to meet the current power demand and alleviate the shortage of power supply more reasonably, user-friendly, and conveniently, and then realize the optimal allocation of power resources in public buildings, this paper studies the response scheduling strategy for the central air-conditioning system under power demand response from the perspective of occupants. It designs an optimal control strategy for the central air-conditioning system based on the comfort evaluation factor to determine the response priority. The genetic algorithm is used to realize the energy efficiency optimization of the system so that the central air-conditioning system has a higher energy efficiency ratio with less loss of human body comfort. The feasibility and effectiveness of this strategy in flexible control strategies are verified through project examples.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"811 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3565387.3565425","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to meet the current power demand and alleviate the shortage of power supply more reasonably, user-friendly, and conveniently, and then realize the optimal allocation of power resources in public buildings, this paper studies the response scheduling strategy for the central air-conditioning system under power demand response from the perspective of occupants. It designs an optimal control strategy for the central air-conditioning system based on the comfort evaluation factor to determine the response priority. The genetic algorithm is used to realize the energy efficiency optimization of the system so that the central air-conditioning system has a higher energy efficiency ratio with less loss of human body comfort. The feasibility and effectiveness of this strategy in flexible control strategies are verified through project examples.