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A review of high temperature (≥ 500 °C) latent heat thermal energy storage

descriptionPublicationkeyboard_double_arrow_right Article 01 May 2022 Italy, Australia Publisher:Elsevier BVJournal:Renewable and Sustainable Energy Reviews, volume 160, page 112,293 (issn: 1364-0321,

Authors: Michael Opolot; Chunrong Zhao; Ming Liu; Simone Mancin; Frank Bruno; Kamel Hooman;

doi: 10.1016/j.rser.2022.112293

handle: 11541.2/30574 , 11577/3473224

A review of high temperature (≥ 500 °C) latent heat thermal energy storage

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Abstract

Refereed/Peer-reviewed Demand for high temperature storage is on a high rise, particularly with the advancement of circular economy as a solution to reduce global warming effects. Thermal energy storage can be used in concentrated solar power plants, waste heat recovery and conventional power plants to improve the thermal efficiency. Latent thermal energy storage systems using phase change materials are highly thought for such applications due to their high energy density as compared to their sensible heat counterparts. This review, therefore, gives a summary of major factors that need to be assessed before an integration of the latent thermal energy system is undertaken. In addition, challenges faced when constructing and experimenting with the storage systems are mentioned. Finally, an insight on the cost analysis and the general performance metrics of the latent thermal energy storage systems is provided before conclusions are drawn.

Countries

Italy, Australia

Related Organizations

Keywords

concentrated solar power (CSP) plants, High temperature Phase change materials; (PCM); Latent thermal energy storage (LTES); Concentrated solar power (CSP) plants; Heat transfer enhancement, high temperature phase change materials(PCM), latent thermal energy storage (LTES), heat transfer enhancement

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	68
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%