Examination of the Performance of Cooling Energy Storage System in Partial Storage Mode

Document Type : Original Article

Authors

1 Department of Energy and Mechanical Engineering Faculty of Engineering South Tehran Branch Islamic Azad University Tehran Iran

2 Department of Mechanical Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

3 Department of Chemical Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

10.22109/jemt.2021.281813.1303

Abstract

Cooling energy storage systems can be used, coupled with conventional building cooling systems. purpose of the study was to examine the performance of the cooling energy storage system (CESS) in partial storage mode (PSM). Objective functions were considered as the exergy efficiency and the total cost rate. The multi-objective technique in MOPSO and SEAP2 algorithms were used to optimize the objective functions. The results obtained from the multi-objective analysis indicated a difference in the optimal value of designing points relative to single-objective optimization, objective function 1 (exergy efficiency), and objective function 2 (total costs). The maximum exergy efficiency for the multi-objective mode in PSM was 39.12%, and the minimum total cost for the multi-objective mode in PSM was $ 1,152 × 105. Additionally, a study on the model showed that by using ice thermal energy storage (ITES), electricity consumption reduced by 11.83% in PSM. Furthermore, because of the transfer of cooling load from peak hours to low consumption hours and reduction of power consumption by 35.12%, there is a reduction in functional costs in PSM compared to a traditional air conditioning system. The results showed that the payback period for an ITES system in PSM is 3.43 years. Ultimately, one has to note that using the ITES system reduces co2 production, leading to a reduction in environmental pollution. Additionally, PCMs used in the construction industry have been introduced and compared with each other in terms of exergy efficiency. The results show that magnesium nitrate hexahydrate reaches the highest oxygen efficiency.

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Articles in Press, Accepted Manuscript
Available Online from 20 November 2021
  • Receive Date: 25 May 2021
  • Revise Date: 07 November 2021
  • Accept Date: 20 November 2021
  • First Publish Date: 20 November 2021