Machine learning modeling of reversible thermochemical reactions applicable in energy storage systems-Reference-Cited by-同舟云学术

Machine learning modeling of reversible thermochemical reactions applicable in energy storage systems

Published:2023-07 Issue: Volume:148 Page:104926
ISSN:1876-1070
Container-title:Journal of the Taiwan Institute of Chemical Engineers
language:en
Short-container-title:Journal of the Taiwan Institute of Chemical Engineers

Author:

Tasneem Shadma,Sultan Hakim S.^ORCID,Ageeli Abeer Ali,Togun Hussein,Alamier Waleed M.,Hasan Nazim^ORCID,Safaei Mohammad Reza

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference49 articles.

1. Experimental investigation on thermal performance of a PV/T-PCM (photovoltaic/thermal) system cooling with a PCM and nanofluid;Sarafraz;Energies,2019

2. A review of energy storage types, applications and recent developments;Koohi-Fayegh;J. Energy Storage,2020

3. Study of heat transfer distribution in round house partitions to improve the building energy consumption;Alazwari;Sustain. Energy Technol. Assess.,2022

4. The investigation of SrCoO3-δ perovskite doping cobalt oxide thermochemical energy storage system;Wang;J. Taiwan Inst. Chem. Eng.,2022

5. A review of salt hydrates for seasonal heat storage in domestic applications;Donkers;Appl. Energy,2017

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