文献类型：期刊文献

英文题名：Heat transfer characteristics of CaO/Ca(OH)2 particle fluidization for thermochemical energy storage

作者：Wang, Jingxiao[1,2];Gu, Yishi[1,2];Yuan, Dingxuan[1,2];Shen, Zhongjie[1,2];Xu, Jianliang[1,2];Liu, Haifeng[1,2,3]

机构：[1]East China Univ Sci & Technol, Natl Energy Coal Gasificat Technol Res & Dev Ctr, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Shanghai Engn Res Ctr Coal Gasificat, Shanghai 200237, Peoples R China;[3]Liaoning Petrochem Univ, Fushun 113001, Peoples R China

年份：2025

卷号：102

起止页码：41

外文期刊名：PARTICUOLOGY

收录：;EI(收录号：20251718287680);WOS:【SCI-EXPANDED(收录号:WOS:001491930300001)】；

基金：This study was supported by the National Key R&D Program of China (grant No. 2023YFB41040 03-02) , the National Natural Sci-ence Foundation of China (grant No. 22378130 and U23B20170) , and the Fundamental Research Funds of the Central Universities (grant No. JKB01241715) .

语种：英文

外文关键词：Thermochemical energy storage; CaO/Ca(OH)2; Fluidization; Solid concentration; Heat transfer

摘要：Thermochemical energy storage (TCES) based on the reversible hydration/dehydration of CaO/Ca(OH)2 is emerging as a promising method for harnessing sustainable and renewable energy sources. In this study, a fluidized bed reactor was utilized to investigate the flow and heat transfer characteristics of micron-sized CaO/Ca(OH)2 particles under dilute-phase conditions. Detailed experiments were carried out to measure particle concentration, temperature distribution, and heat transfer coefficients across a range of operating parameters. The results demonstrated that the heat transfer coefficient from the heated wall to the fluidized particles increases significantly with both reaction temperature and vapor partial pressure. Furthermore, the cluster renewal model was employed to predict the heat transfer behavior, achieving a low average relative error compared to the experimental data. These findings enhance the fundamental understanding of fluidized-bed-based CaO/Ca(OH)2 TCES processes and offer practical guidelines for optimizing large-scale, high-temperature energy storage systems in support of intermittent renewable energy applications. (c) 2025 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.