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  4. Analysis of the preferred ethylene production route from carbon dioxide at a supply chain level: results of mathematical modelling for a Teesside case study
 
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Analysis of the preferred ethylene production route from carbon dioxide at a supply chain level: results of mathematical modelling for a Teesside case study
File(s)
136Leonzio_rev.docx (132.27 KB)
Accepted version
Author(s)
Leonzio, Grazia
Shah, Nilay
Type
Journal Article
Abstract
Currently, new routes for producing chemical building blocks are required with the aim to support the energy and feedstock transition. Considering both global demand and production capacity, ethylene is the most important organic chemical and for this reason alternative production routes (based on carbon dioxide and water) have been investigated and screened in terms of costs and emissions in one of our previous works. In this research, the best alternative ethylene production technology is suggested at a supply chain level for the Teesside cluster (UK) through the development of two different mathematical models for the supply chain. Results show that the best ethylene production route is based on methanol-to-olefin plant where methanol is produced by syngas obtained from carbon dioxide-water co-electrolysis. Through a global sensitivity analysis based on a surrogate model, it is found that the carbon dioxide utilization cost has the highest impact on the supply chain total cost. The optimization of the electrolytic cell could help with cost reduction.
Date Issued
2024
Date Acceptance
2024-06-01
Citation
Computer Aided Chemical Engineering, 2024, 53, pp.199-204
URI
http://hdl.handle.net/10044/1/115674
URL
http://dx.doi.org/10.1016/b978-0-443-28824-1.50034-x
DOI
https://www.dx.doi.org/10.1016/b978-0-443-28824-1.50034-x
ISSN
1570-7946
Publisher
Elsevier
Start Page
199
End Page
204
Journal / Book Title
Computer Aided Chemical Engineering
Volume
53
Copyright Statement
Copyright © 2024 Elsevier B.V. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Attribution 4.0 International
Identifier
http://dx.doi.org/10.1016/b978-0-443-28824-1.50034-x
Publication Status
Published
Date Publish Online
2024-06-26
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