Ejeh, J.O., Yousef, A.Z., Bugryniec, P. orcid.org/0000-0003-3494-5646 et al. (5 more authors) (2022) Perspectives on future CCUS infrastructure design. In: Proceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT-16). 16th Greenhouse Gas Control Technologies Conference (GHGT-16), 23-27 Oct 2022, Lyon, France. IEA Greenhouse Gas R&D Programme (IEAGHG)
Abstract
In this paper, we systematically review existing models and identify software tools suitable for the optimal planning and design of large-scale Carbon Capture, Utilisation and Storage (CCUS) infrastructure. We identify key factors, relevant system constraints (and the lack thereof) that need to be considered when optimising CCUS systems. The components of the supply chain considered include CO2 capture, (re-)conditioning, transport, storage and utilisation, and how spatial, temporal, economic, social, environmental, policy and technical factors have been integrated into models in the literature. Findings showed past works to be saturated with respect to techno-economic factors, but sparse on social, policy, business and other non-technical factors which have been identified to be important for successful large-scale deployment of CCUS infrastructure. Recommendations on future research are then proposed towards a more robust infrastructure design consideration.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 |
Keywords: | CCUS; Industrial clusters; Transport infrastucture; Optimisation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 884418 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Dec 2023 13:13 |
Last Modified: | 08 Dec 2023 13:13 |
Status: | Published |
Publisher: | IEA Greenhouse Gas R&D Programme (IEAGHG) |
Refereed: | Yes |
Identification Number: | 10.2139/ssrn.4271511 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:206157 |