An Intelligent System for Predicting the Methanol Conversion Rate from the Direct Hydrogenation of CO2 under Uncertainty-Reference-Cited by-同舟云学术

An Intelligent System for Predicting the Methanol Conversion Rate from the Direct Hydrogenation of CO2 under Uncertainty

Published:2024-04-03 Issue: Volume:166 Page:3
ISSN:
Container-title:CEMP 2023
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Author:

Samad Abdul¹,Saghir Husnain¹,Musawwir Abdul²,Zulkefal Muhammad¹

Affiliation:

1. School of Chemical and Materials Engineering, National University of Sciences and Technology, Islamabad 44000, Pakistan

2. Department of Chemical and Biological Engineering, Friedrich-Alexander-Universität Erlangen-Nurnberg, 91058 Erlangen, Germany

Publisher

MDPI

Link

https://www.mdpi.com/2673-4605/17/1/3/pdf

Reference12 articles.

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2. Challenges and opportunities in carbon capture, utilization and storage: A process systems engineering perspective;Hasan;Comput. Chem. Eng.,2022

3. Highly effective hydrogenation of CO2 to methanol over Cu/ZnO/Al2O3 catalyst: A process economy & environmental aspects;Yusuf;Fuel,2023

4. Methanol production via direct carbon dioxide hydrogenation using hydrogen from photocatalytic water splitting: Process development and techno-economic analysis;Alsayegh;J. Clean. Prod.,2019

5. Enabling small-scale methanol synthesis reactors through the adoption of highly conductive structured catalysts;Montebelli;Catal. Today,2013

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1. A data-driven multi-objective optimization approach for enhanced methanol yield and exergy loss minimization in direct hydrogenation of CO2;Applied Thermal Engineering;2024-08