{"title":"Cost-effective optimization for charging/discharging cycles of thermal energy ice storages in transcritical R744 supermarket refrigeration systems","authors":"Yousef Sheikh Kilo , Roozbeh Izadi-Zamanabadi , Hossein Ramezani , Paride Gullo , Shouvik Chaudhuri","doi":"10.1016/j.enconman.2025.119790","DOIUrl":null,"url":null,"abstract":"<div><div>Due to the low critical temperature of R744, supermarket refrigeration systems using this working fluid widely operate in transcritical operating conditions, causing severe penalizations on their energy efficiency. On the one hand, this study explored the economic benefits from integrating a thermal energy ice storage to cool down the R744 leaving the condenser/gas cooler to address the aforementioned performance disadvantages. On the other hand, the literature review brought to light the lack of an algorithm to cost-effectively and dynamically optimize the charging and discharging cycles of thermal energy ice storages in transcritical R744 refrigeration systems, thus limiting their spread in supermarkets. Therefore, an innovative algorithm tailored to different climate conditions was developed in this study with the goal of minimizing yearly electricity expenses by accounting for supermarket refrigeration demand, ambient temperature, and electricity price. The novel optimization method incorporated constraints that reflected realistic requirements for the thermal energy ice storage’s expected capacity, its selected compressor, and desired level of maximum charge/discharge rate. Simulations performed in Seville (Spain), Athens (Greece) and New Delhi (India) revealed a reduction in the annual electricity bill of the supermarket by 6.9 %, 5.7 % and 12.5 % compared to the case without thermal energy ice storage thanks to the new optimization strategy, respectively. The results obtained showcase the efficacy of the innovative algorithm, suggesting a promising approach to improve the energy efficiency and cost-effectiveness in the commercial refrigeration industry.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"334 ","pages":"Article 119790"},"PeriodicalIF":9.9000,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Conversion and Management","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0196890425003139","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Due to the low critical temperature of R744, supermarket refrigeration systems using this working fluid widely operate in transcritical operating conditions, causing severe penalizations on their energy efficiency. On the one hand, this study explored the economic benefits from integrating a thermal energy ice storage to cool down the R744 leaving the condenser/gas cooler to address the aforementioned performance disadvantages. On the other hand, the literature review brought to light the lack of an algorithm to cost-effectively and dynamically optimize the charging and discharging cycles of thermal energy ice storages in transcritical R744 refrigeration systems, thus limiting their spread in supermarkets. Therefore, an innovative algorithm tailored to different climate conditions was developed in this study with the goal of minimizing yearly electricity expenses by accounting for supermarket refrigeration demand, ambient temperature, and electricity price. The novel optimization method incorporated constraints that reflected realistic requirements for the thermal energy ice storage’s expected capacity, its selected compressor, and desired level of maximum charge/discharge rate. Simulations performed in Seville (Spain), Athens (Greece) and New Delhi (India) revealed a reduction in the annual electricity bill of the supermarket by 6.9 %, 5.7 % and 12.5 % compared to the case without thermal energy ice storage thanks to the new optimization strategy, respectively. The results obtained showcase the efficacy of the innovative algorithm, suggesting a promising approach to improve the energy efficiency and cost-effectiveness in the commercial refrigeration industry.
期刊介绍:
The journal Energy Conversion and Management provides a forum for publishing original contributions and comprehensive technical review articles of interdisciplinary and original research on all important energy topics.
The topics considered include energy generation, utilization, conversion, storage, transmission, conservation, management and sustainability. These topics typically involve various types of energy such as mechanical, thermal, nuclear, chemical, electromagnetic, magnetic and electric. These energy types cover all known energy resources, including renewable resources (e.g., solar, bio, hydro, wind, geothermal and ocean energy), fossil fuels and nuclear resources.