Lithium compounds for thermochemical energy storage : a state-of-the-art review and future trends

Autor: Mario Grágeda, Paula E. Marín, Svetlana Ushak, Luisa F. Cabeza, Yanio E. Milián, G.S.F. Shire
Jazyk: angličtina
Rok vydání: 2021
Předmět:
ISSN: 1364-0321
Popis: The world is currently going through significant changes in technology, and alongside these advances, new developments of strategies to store and supply energy are crucial for the widespread use of consumer electronics and white goods. Besides, the impacts of greenhouse gas emissions and climate change are exerting pressure towards less polluting sources of energy and strategies to diminish energy losses. In this environmental context, lithium compounds are an attractive alternative to store energy in thermal energy storage systems due to their thermodynamic features, which make such compounds a relevant strategy for energy storage, for instance, capturing residual energy from several industrial activities. Here a review of the current state of the art and new technological advances reflected by the scientific literature and the patented inventions using lithium as a relevant compound for thermochemical energy storage has been performed. Throughout a search on different databases, it is proposed a simplified process to support our findings and the analysis of this data. Thus, several important advances in thermochemical energy storage using chemical reaction and sorption systems were evidenced. The literature also showed that the majority of the analysed investigation included in our data set are based on sorption technologies. This review suggests the need for systematisation in reporting critical data to facilitate a common understanding with regards to the advances in energy storage, especially when referring to heat storage density. The importance of lithium in thermochemical systems in the future will probably keep increasing, particularly in systems where several lithium salts have shown to be excellent doping agents and working pairs of materials included in different matrices. Authors acknowledge to ANID/FONDAP Nº 15,110,019, CONICYT/PCI/REDES Nº170131 projects. Paula E. Marín would like to thank the National Agency for Research and Development (ANID)/Scholarship Program/Postdoctorado en el Extranjero Becas Chile/2019–74200057. Yanio Milian would like to thank ANT1885, CORFO 16ENI2-71940 INGENIERIA2030 and Postdoctoral/FONDECYT N° 3200786 projects. This work was partially funded by the Ministerio de Ciencia, Innovación y Universidades de España (RTI2018-093849-B-C31 - MCIU/AEI/FEDER, UE) and by the Ministerio de Ciencia, Innovación y Universidades - Agencia Estatal de Investigación (AEI) (RED2018-102431-T). The author at the University of Lleida would like to thank the Catalan Government for the quality accreditation given to their research group GREiA (2017 SGR 1537). GREiA is a certified agent TECNIO in the category of technology developers from the Government of Catalonia. This work is partially supported by ICREA under the ICREA Academia programme. The authors would like to acknowledge the support of InnovateUK through their funding of T-ERA facilities at the University of Warwick.
Databáze: OpenAIRE