Wilkes, M. orcid.org/0000-0003-0842-787X and Brown, S. (2023) Bioenergy with carbon capture and storage (BECCS) – power generation coupled with hydrogen production. In: Kokossis, A.C., Georgiadis, M.C. and Pistikopoulos, E., (eds.) 33rd European Symposium on Computer Aided Process Engineering. 33rd European Symposium on Computer-Aided Process Engineering (ESCAPE-33), 18-21 Jun 2023, Athens, Greece. Computer Aided Chemical Engineering, 52. Elsevier, pp. 2897-2902. ISBN: 9780443235535. ISSN: 1570-7946. EISSN: UNSPECIFIED.
Abstract
Achieving Net Zero emissions by 2050 requires the utilization of negative emissions technologies such as Bioenergy with Carbon Capture and Storage (BECCS), as well as hydrogen to decarbonize challenging industrial CO2 emitters. Within this paper we develop a BECCS-Power-Hydrogen process model in Aspen Plus. The analysis shows the key operating parameters and key performance indicators for the process. The base case electrical efficiency is very low (18.4%) but including the hydrogen production increases the overall system efficiency to 52%. Also included in this study is a sensitivity analysis investigating the effect gasification temperature has on the hydrogen production and net system efficiency.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Editors: |
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| Copyright, Publisher and Additional Information: | © 2023 Elsevier B.V. |
| 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 DRAX POWER LIMITED UNSPECIFIED ROYAL ACADEMY OF ENGINEERING (THE) IF\192046 |
| Date Deposited: | 11 Jul 2023 13:34 |
| Last Modified: | 17 Dec 2025 12:35 |
| Status: | Published |
| Publisher: | Elsevier |
| Series Name: | Computer Aided Chemical Engineering |
| Refereed: | Yes |
| Identification Number: | 10.1016/B978-0-443-15274-0.50461-3 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:201325 |

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