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Simulation-based modeling and optimization for refinery hydrogen network integration with light hydrocarbon recovery  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Simulation-based modeling and optimization for refinery hydrogen network integration with light hydrocarbon recovery

作者:Yang, Minbo[1];Zeng, Siying[1];Feng, Xiao[1];Zhao, Liang[2]

机构:[1]Xi An Jiao Tong Univ, Sch Chem Engn & Technol, Shaanxi Key Lab Energy Chem Proc Intensificat, Xian 710049, Shaanxi, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份:2022

卷号:47

期号:7

起止页码:4662

外文期刊名:INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

收录:;EI(收录号:20215011319905);WOS:【SCI-EXPANDED(收录号:WOS:000744666400013)】;

基金:This work was supported by the Fundamental Research Funds for the Central Universities (2020ACOCP04 and xzy012019031) .

语种:英文

外文关键词:Hydrogen network integration; Light hydrocarbon recovery; Simulation-optimization method; Genetic algorithm; Total annualized cost

摘要:Purge gases from hydrocrackers and hydrotreaters and refinery off-gases are important hydrogen sources. Some of these hydrogen sources are also rich in light hydrocarbons that are valuable energy resources and chemical materials. In this work, a systematic method is proposed to integrate hydrogen networks considering light hydrocarbon recovery. This work first develops a hydrogen network superstructure with light hydrocarbon recovery. Aspen HYSYS is employed for rigorous process and thermodynamic modeling of the light hydrocarbon recovery process, and a simulation-optimization model is then developed. To solve the simulation-optimization model efficiently, the genetic algorithm is used as the global solver to determine the feed to light hydrocarbon recovery unit, and the linprog and fmincon solvers are combined to determine the optimal hydrogen network design. The application and effectiveness of the proposed method is validated through a case study. The results show that fresh hydrogen consumption decreases by 13% and the total annualized cost reduces to 72% because of light hydrocarbon recovery. This method could provide useful guides for the management of hydrogen and light hydrocarbons in refineries. (c) 2021 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

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