Application of ice cold energy storage (ICES) is for reducing power consumption in air-conditioning systems. ICES systems have two full and partial operating modes. Partial operating mode of ICES system is modeled here at two demand limiting (POM-DL) and load leveling (POM-LL) conditions. After energy, exergy, and economic and environmental modeling/analysis of POM-DL and POM-LL, multi-objective (exergy and total cost) genetic algorithm (GA) optimization technique is applied to find the optimum values of objective functions and system design parameters. Then, the performance of POM-DL and POM-LL systems is compared. For our case study, the acquired results show 11.20% and 10.94% reduction in electricity consumption for POM-DL and POM-LL systems, respectively, in comparison with that for a traditional VCR (an electrical chiller). Furthermore, these systems reduce 13.58% and 12.36% electricity cost by shifting the electricity consumption of cooling system from on peak (ONP) hours to off peak (OFP) hours for POM-DL and POM-LL, respectively.
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