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Lei Zhang

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Gender:Male
Alma Mater:Tsinghua University
Degree:Doctoral Degree
School/Department:School of Chemical Engineering
Discipline:Chemical Engineering
Business Address:西部校区化工实验楼D408
E-Mail:keleiz@dlut.edu.cn
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Current position: Home >> Scientific Research >> Paper Publications

Process evaluation and optimization of methanol production from shale gas based on kinetics modeling

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Indexed by:期刊论文

Date of Publication:2020-11-20

Journal:JOURNAL OF CLEANER PRODUCTION

Volume:274

ISSN No.:0959-6526

Key Words:Shale gas; Methanol; Kinetics; Economic evaluation; Environmental assessment

Abstract:The downstream production from shale gas to methanol has attracted attention in recent years. However, the traditional thermodynamic modeling method cannot precisely predict process performances. To this end, kinetics-based reaction models of methane reforming and methanol synthesis are developed for a rigorous simulation of this route. The evaluation of process performance is addressed from the perspectives of economics and environment. Then, the effects of reacting temperature and pressure on production cost and pollutant emissions are investigated in the interest of process optimization. The results demonstrate that an increased temperature enhances the conversion of methane in partial oxidation reforming, leading to superior performance in both economics and environment. It is also found that the reforming pressure for lower production cost and emissions tends to increase as temperature elevates. The results shows that the lowest production cost is 58.13 $/t methanol, while the lowest emissions of CO2, SO2, NOx and soot are 124.7 kg/t, 0.181 kg/t, 0.226 kg/t and 0.054 kg/t. Ultimately, a trade-off between the contradictory economic and environmental targets is conducted to acquire the optimal operating condition. The method developed in this study provides guidance to the design and optimization for downstream process of shale gas. (C) 2020 Elsevier Ltd. All rights reserved.