Fuzzy optimization design of multicomponent refinery hydrogen network

作     者：Chun Deng Xuantong Lu Qixin Zhang Jian Liu Jui-Yuan Lee Xiao Feng Chun Deng;Xuantong Lu;Qixin Zhang;Jian Liu;Jui-Yuan Lee;Xiao Feng

作者机构：State Key Laboratory of Heavy Oil ProcessingCollege of Chemical Engineering and EnvironmentChina University of PetroleumBeijing 102249China PetroChina Daqing Petrochemical CompanyDaqing 163000China Department of Chemical Engineering and BiotechnologyNational Taipei University of TechnologyTaipei 10608China School of Chemical Engineering&TechnologyXi’an Jiaotong UniversityXi’an 710049China 

出 版 物：《Chinese Journal of Chemical Engineering》 (中国化学工程学报（英文版）)

年 卷 期：2022年第35卷第8期

页      面：125-139页

核心收录：

学科分类：081702[工学-化学工艺] 08[工学] 0817[工学-化学工程与技术] 

基　　金：the National Natural Science Foundation of China (21878328) Natural Science Foundation of Beijing (2212016) Beijing Science and Technology Program, China (Z181100005118010) 

主　　题：Hydrogen network Mathematical programming Multicomponent Fuzzy optimization Light hydrocarbon recovery 

摘      要：Hydrogen and light hydrocarbon components are essential resources of the refinery.The optimization of the refinery hydrogen system and recovery of the light hydrocarbon components contained in the gas streams are key strategies to reduce the operating costs for sustainable development.Many research efforts have been focused on the optimization of single impurity hydrogen network,and the flowrates of the hydrogen sources and sinks are assumed to be constant.However,their flowrates vary along with the quality of crude oil and refinery processing plans.A general superstructure of multicomponent refinery hydrogen network is proposed,which considers four components,namely H_(2),H_(2)S,CH_(4) and C_(2+),as well as the flowrate variations of hydrogen source and hydrogen sink.The mathematical model based on the superstructure is developed with objective functions,including the minimization of total annualized cost and the maximization of overall satisfaction of the hydrogen network.Moreover,the model considers the removal of hydrogen sulfide and the recovery of light hydrocarbon components(i.e.,C_(2+))in the optimization.To verify the applicability of the proposed mathematical model,a simplified industrial case study with four scenarios is solved.The optimization results show that the economic benefit can be maximized by considering both the direct reuse of gas streams from high-pressure separator(HP gas stream)and from low-pressure separator(LP gas stream)and the recovery of the light hydrocarbon streams.The fuzzy optimization method can be used to guide the optimal design of the refinery hydrogen system with multi-period variable flowrates.