Dynamic modeling framework for solid-gas sorption systems

作     者：Dacheng Li Tiejun Lu Nan Hua Yi Wang Lifang Zheng Yi Jin Yulong Ding Yongliang Li 

作者机构：Birmingham Centre for Energy StorageSchool of Chemical EngineeringUniversity of BirminghamEdgbastonB152TTUK School of Mechanical EngineeringUniversity of Science and TechnologyBeijing100083China Jiangsu Jinhe Energy Technology Co.LtdNo.1Sci&Tech AvenueEconomic and Technological Development ZoneJurongJiangsuChina 

出 版 物：《Energy Storage and Saving》 (储能与节能（英文）)

年 卷 期：2023年第2卷第3期

页      面：522-531页

学科分类：081704[工学-应用化学] 07[理学] 070304[理学-物理化学(含∶化学物理)] 08[工学] 0817[工学-化学工程与技术] 0703[理学-化学] 

基　　金：funding from the European Union’s Horizon 2020 research and innovation program under Marie Sklodowska-Curie(Grant No.:101007976) The authors also express their sincere grati-tude to the Engineering and Physical Sciences Research Council(EPSRC)for the funding provided to this project(Grant Nos.:EP/V041665/1 and EP/T022701/1) This work was also financially supported by the National Key Research and Development Program of China(Grant No.:2021YFE0112500) 

主　　题：Solid-gas sorption Dynamic modeling Intelligent optimization Coefficient identification 

摘      要：A dynamic modeling framework based on an intelligent approach is proposed to identify the complex behaviors of solid-gas sorption *** experimental system was built and tested to assist in developing a model of the system performance during the adsorption and desorption *** variations in the thermal effects and gaseous environment accompanying the reactions were considered when designing the *** optimization platform based on a multi-population genetic algorithm and artificial criteria was established to identify the mod-eling coefficients and quantify the effects of condition changes on the *** calibration of the simulation results against the tested data showed good accuracy,where the coefficient of determination was greater than *** outcome of this study could provide a modeling basis for the optimization of solid-gas sorption systems and contribute a potential tool for uncovering key characteristics associated with materials and components.