Optimization of combined cooling and heating energy storage capacity in air conditioning systems

Under the drive of the new power system and the “dual-carbon” goal,the combined cooling and heating energy storage air conditioning system demonstrates significant application value.Addressing the optimization challenges of the system,this study proposes an energy storage capacity optimization method that develops a dual-variable optimization algorithm based on a whole life cycle cost model,with a case analysis of water energy storage system of an office building located in the hot summer and cold winter zone.The research indicates that the newly designed combined cooling and heating energy storage system shows optimal economic performance when maintaining a cooling storage ratio within the range of 26% to 36%.Simultaneously,it emphasizes the importance of rational utilization of energy storage capacity under heating conditions to avoid economic efficiency reduction caused by excessive pursuit of storage device maximization.Under the optimized configuration,the system can achieve 58% and 91% of the peak power load shifting during cooling and heating seasons,respectively,with annual operating costs reduced by 35%.