4.6 Article

Sorption enhanced carbon dioxide hydrogenation to methanol: Process design and optimization

期刊

CHEMICAL ENGINEERING SCIENCE
卷 252, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2022.117498

关键词

Methanol synthesis; Sorption enhanced; CO2 hydrogenation; Process intensification; Optimization

资金

  1. Business Finland (Finland)

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This study investigates the efficiency of methanol synthesis via sorption enhanced carbon dioxide hydrogenation and determines the optimal process parameters using an experimentally validated model. The results indicate that for synthesis of high purity methanol product, the optimal values of reactor temperature and catalyst mass fraction in the bed are 215 degrees C/0.65 and 235 degrees C/0.50 for the adiabatic and quasi isothermal reactors, respectively. Additionally, a reactor configuration with a guard adsorbent layer is proposed for production of high purity methanol product.
Sorption enhanced synthesis has been previously shown to improve carbon dioxide hydrogenation to methanol by mitigating the thermodynamic limitations. This work investigates the efficiency of methanol synthesis via sorption enhanced carbon dioxide hydrogenation focusing on determining the optimal process parameters. The study is based upon a fully dynamic experimentally validated model of the process which is extended to account for adsorbent regeneration, downstream product separation and recirculation of the unreacted gases. An additional reactor configuration with a guard adsorbent layer is proposed for production of high purity methanol product. A multi-objective optimization study is performed to investigate the tradeoff between methanol production rate and product purity. The obtained results indicate that for synthesis of high purity methanol product, the optimal values of reactor temperature and catalyst mass fraction in the bed are 215 degrees C/0.65 and 235 degrees C/0.50 for the adiabatic and quasi isothermal reactors, respectively.(c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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