Review on operation control of cold thermal energy storage in cooling systems

Cold storage technology is useful to alleviate the mismatch between the cold energy demand and supply. The integration of cold energy storage in cooling system is an effective approach to improve the system reliability and performance. This review provides an overview and recent advances of the cold...

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Main Authors: Huan Wang, Baoshan Xie, Chuanchang Li
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-06-01
Series:Energy and Built Environment
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666123324000138
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author Huan Wang
Baoshan Xie
Chuanchang Li
author_facet Huan Wang
Baoshan Xie
Chuanchang Li
author_sort Huan Wang
collection DOAJ
description Cold storage technology is useful to alleviate the mismatch between the cold energy demand and supply. The integration of cold energy storage in cooling system is an effective approach to improve the system reliability and performance. This review provides an overview and recent advances of the cold thermal energy storage (CTES) in refrigeration cooling systems and discusses the operation control for system optimization. Firstly, the composition and principles of cooling systems coupled with CTES are presented. Special attention was paid to cold storage medium of phase change material (PCM) with high energy density and stable phase change temperature. Then, based on the classification of driven energy, the different applications of passive or active cooling systems with CTES are classified, including building cooling, cold chain logistics, and other refrigeration systems. Most importantly, the operation control which is necessary to performance optimization is presented, including operational control strategies, cold load predictions, and economic evaluation methods. Three types of operational control strategies are summarised using water storage and cooling system as an example. Two types of cold load predictions, parametric regression and artificial neural network method, are introduced. Three aspects of economic costs are summarized in terms of initial equipment investment cost, operational cost, and life-cycle cost are summarized. Finally, an outlook on the development of cooling systems using CTES is given.
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spelling doaj-art-51a576070aa6464fa159b058a7af834a2025-02-08T05:01:13ZengKeAi Communications Co., Ltd.Energy and Built Environment2666-12332025-06-0163509523Review on operation control of cold thermal energy storage in cooling systemsHuan Wang0Baoshan Xie1Chuanchang Li2Key Laboratory of Renewable Energy Electric-Technology of Hunan Province, School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, ChinaCorresponding author.; Key Laboratory of Renewable Energy Electric-Technology of Hunan Province, School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, ChinaKey Laboratory of Renewable Energy Electric-Technology of Hunan Province, School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, ChinaCold storage technology is useful to alleviate the mismatch between the cold energy demand and supply. The integration of cold energy storage in cooling system is an effective approach to improve the system reliability and performance. This review provides an overview and recent advances of the cold thermal energy storage (CTES) in refrigeration cooling systems and discusses the operation control for system optimization. Firstly, the composition and principles of cooling systems coupled with CTES are presented. Special attention was paid to cold storage medium of phase change material (PCM) with high energy density and stable phase change temperature. Then, based on the classification of driven energy, the different applications of passive or active cooling systems with CTES are classified, including building cooling, cold chain logistics, and other refrigeration systems. Most importantly, the operation control which is necessary to performance optimization is presented, including operational control strategies, cold load predictions, and economic evaluation methods. Three types of operational control strategies are summarised using water storage and cooling system as an example. Two types of cold load predictions, parametric regression and artificial neural network method, are introduced. Three aspects of economic costs are summarized in terms of initial equipment investment cost, operational cost, and life-cycle cost are summarized. Finally, an outlook on the development of cooling systems using CTES is given.http://www.sciencedirect.com/science/article/pii/S2666123324000138Cold storage technologyPhase change materialCooling systemOperation control
spellingShingle Huan Wang
Baoshan Xie
Chuanchang Li
Review on operation control of cold thermal energy storage in cooling systems
Energy and Built Environment
Cold storage technology
Phase change material
Cooling system
Operation control
title Review on operation control of cold thermal energy storage in cooling systems
title_full Review on operation control of cold thermal energy storage in cooling systems
title_fullStr Review on operation control of cold thermal energy storage in cooling systems
title_full_unstemmed Review on operation control of cold thermal energy storage in cooling systems
title_short Review on operation control of cold thermal energy storage in cooling systems
title_sort review on operation control of cold thermal energy storage in cooling systems
topic Cold storage technology
Phase change material
Cooling system
Operation control
url http://www.sciencedirect.com/science/article/pii/S2666123324000138
work_keys_str_mv AT huanwang reviewonoperationcontrolofcoldthermalenergystorageincoolingsystems
AT baoshanxie reviewonoperationcontrolofcoldthermalenergystorageincoolingsystems
AT chuanchangli reviewonoperationcontrolofcoldthermalenergystorageincoolingsystems