4E analysis and optimization of cold thermal-energy storage under partial operating mode and demand-limiting mode for air-conditioning systems
作者机构:Department of Mechanical EngineeringSouth Tehran BranchIslamic Azad UniversityTehranIran Department of Chemical EngineeringSouth Tehran BranchIslamic Azad UniversityTehranIran
出 版 物:《Clean Energy》 (清洁能源(英文))
年 卷 期:2023年第7卷第3期
页 面:582-594页
核心收录:
学科分类:0830[工学-环境科学与工程(可授工学、理学、农学学位)] 0808[工学-电气工程] 08[工学] 0807[工学-动力工程及工程热物理] 080502[工学-材料学] 0805[工学-材料科学与工程(可授工学、理学学位)]
主 题:partial operating mode cold thermal storage load levelling demand-limiting mode
摘 要:Cold thermal energy storage is an active method for reducing the peak electrical demand and electricity consumption of air *** paper investigates two different cases:partial operating mode-load levelling(POM-LL)and demand-limiting mode(DLM).4E(energy,exergy,economic,environment)analyses along with a multi-objective optimization process based on a genetic algorithm is applied to determine optimal design *** efficiency,total annual cost and payback-period time are considered as objective functions in this *** results have shown that POM and DLM decreased the electricity consumption by 10.36%and 11.29%,respectively,resulting in raising the annual costs by 11.08%and 11.42%.Also,their annual payback periods were 4.36 and 4.18 years *** addition,using off-peak hours instead of on-peak hours for electricity consumption and reducing electricity consump-tion are the two main ways of decreasing CO_(2) emissions during electricity ***,the CO_(2) emissions through POM and DLM are 13.31%and 13.72%less than those of conventional systems,respectively.