Sensitivity analysis of a zeolite energy storage model: Impact of parameters on heat storage density and discharge power density
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DOI: 10.1016/j.renene.2019.12.035
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Cited by:
- Gao, Shichao & Wang, Shugang & Sun, Yi & Wang, Jihong & Hu, Peiyu & Shang, Jiaxu & Ma, Zhenjun & Liang, Yuntao, 2023. "Effect of charging operating conditions on open zeolite/water vapor sorption thermal energy storage system," Renewable Energy, Elsevier, vol. 215(C).
- Strong, Curtis & Carrier, Ye & Handan Tezel, F., 2022. "Experimental optimization of operating conditions for an open bulk-scale silica gel/water vapour adsorption energy storage system," Applied Energy, Elsevier, vol. 312(C).
- Carla Delmarre & Marie-Anne Resmond & Frédéric Kuznik & Christian Obrecht & Bao Chen & Kévyn Johannes, 2021. "Artificial Neural Network Simulation of Energetic Performance for Sorption Thermal Energy Storage Reactors," Energies, MDPI, vol. 14(11), pages 1-12, June.
- Zhang, Heng & Liu, Shuli & Shukla, Ashish & Zou, Yuliang & Han, Xiaojing & Shen, Yongliang & Yang, Liu & Zhang, Pengwei & Kusakana, Kanzumba, 2022. "Thermal performance study of thermochemical reactor using net-packed method," Renewable Energy, Elsevier, vol. 182(C), pages 483-493.
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Keywords
Physisorption; Heat storage; Numerical modeling; Sensitivity analysis; Optimization; Control;All these keywords.
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