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Neural network and experimental thermodynamics study of YCrO3-δ for efficient solar thermochemical hydrogen production

Jian CongInstitute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, ChinaTianzeng MaInstitute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, ChinaZheshao ChangInstitute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, ChinaQiangqiang ZhangInstitute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, ChinaJ. S. AkhatovPhysical-Technical Institute, SPA “Physics-Sun”, Tashkent, 100084, UzbekistanMingkai FuInstitute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, ChinaXin LiInstitute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, China
Renewable Energyjournal2023en
ABI

Abstract

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Topics

Chemical Looping and Thermochemical ProcessesAdsorption and Cooling SystemsCatalysis and Oxidation Reactions

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DOI
10.1016/j.renene.2023.05.085

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