详细信息
Towards a net-zero future for refineries: A case study on capacity configuration for hydrogenation demands in a refinery ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Towards a net-zero future for refineries: A case study on capacity configuration for hydrogenation demands in a refinery
作者:He, Wangli[1];Chen, Lijia[1];Qing, Xiangyun[1];Qian, Feng[1]
机构:[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China
年份:2025
卷号:71
期号:6
外文期刊名:AICHE JOURNAL
收录:;EI(收录号:20250917951916);WOS:【SCI-EXPANDED(收录号:WOS:001420588900001)】;
基金:This work was supported by National Key Research and Development Program of China (2022YFB3305900), Shanghai Pilot Program for Basic Research (22TQ1400100-3), National Natural Science Foundation of China (62293501, 62373154) and Major Science and Technology Projects of Longmen Laboratory (NO. LMZDXM202206).
语种:英文
外文关键词:hydrogen demand; multi-objective capacity optimization; refinery; time variational autoencoder
摘要:The refining industry's substantial hydrogen demand relies on high-carbon-emission production methods, facing dual challenges of reducing costs and achieving net-zero emissions. This study proposes a renewable energy-powered water electrolysis system integrated with seasonal hydrogen storage to address these challenges. A multi-objective capacity optimization model is developed to minimize costs and carbon emissions, ensuring reliable hydrogen supply. To manage computational complexity, time variational autoencoder is applied to extract patterns from high-dimensional data for scenario generation and typical day selection. A refinery case study validates the system's capacity configuration. Pareto analysis reveals a tradeoff between costs and emissions, necessitating large-scale seasonal hydrogen storage to balance renewable energy fluctuations, while battery storage manages short-term fluctuations. Sensitivity analysis shows exceeding a 0.38 electrolyzer minimum load reduces the economic viability of renewable hydrogen production. The system achieves an LCOH of 2.28 USD/kg and annual carbon emissions of 361,139 tons, offering cost-effective and sustainable hydrogen production.
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