Mechleri, E., Brown, S.F. orcid.org/0000-0001-8229-8004, Fennell, P.S. et al. (1 more author) (2017) CO2 capture and storage (CCS) cost reduction via infrastructure right-sizing. Chemical Engineering Research and Design. ISSN 0263-8762
Abstract
Carbon capture and storage (CCS) will be a critical component of a portfolio of low-carbon energy technologies required to combat climate change (Technology Roadmap, 2013). As such, an extensive transportation infrastructure will be required to transport captured CO2 from different sources to the available sinks. Several studies in the literature suggest that shared oversized pipeline networks may be the most efficient long term option compared to single source to sink pipelines, based on increased CCS deployment over the years and therefore increased CO2 flowrate to the transport network. However, what is neglected in this vision is that the deployment of intermittent renewable energy tends to displace thermal power generation. This directly reduces the amount of fossil fuel burned, CO2 produced, captured and transported through the network. This paper presents an optimisation methodology to “right-size” CO2 transport infrastructure, explicitly accounting for the transient flow of CO2 arising from the co-deployment of intermittent renewable energy generators. By application of this methodology, we demonstrate that capital cost reductions of up to 28% are possible relative to a business-as-usual design case.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Elsevier. This is an author produced version of a paper subsequently published in Chemical Engineering Research and Design. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | CO2 pipeline transport; Optimisation; CCS; Cost minimisation |
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) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 19 Jan 2017 14:36 |
Last Modified: | 17 Jan 2018 01:38 |
Published Version: | https://dx.doi.org/10.1016/j.cherd.2017.01.016 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.cherd.2017.01.016 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:110769 |