Wilkes, M., Mukherjee, S. and Brown, S. orcid.org/0000-0001-8229-8004 (2021) Transient CO2 capture for open-cycle gas turbines in future energy systems. Energy, 216. 119258. ISSN 0360-5442
Abstract
In complex electricity systems with a varied generation mix, the security of supply is important, and the quick-response nature of gas turbines is invaluable in providing system flexibility. Accompanied with post-combustion capture (PCC) of CO2, gas turbines can support the transition to a future low-carbon electricity system. This study presents the development and validation of a dynamic rate-based model of the benchmark CO2 absorption process, using 30 wt% monoethanolamine (MEA). The model is scaled up from pilot-scale to match the flue gas output from a modern small-scale gas turbine operating in open-cycle configuration. Simulations of various flexible operating scenarios shows the rapid transitioning between full and partial load is beneficial in delivering higher time-averaged CO2 capture rates, compared to the Baseload scenario where the PCC system is operated at full load for 5 h. Maintaining a constant liquid/gas (L/G) ratio results in 90.01% CO2 capture; however, this increases the energy demand due to constant reboiler steam flowrate. To compensate, the steam flowrate is also ramped, resulting in a small decrease in reboiler duty compared to the Baseload scenario. Importantly, no negative energy or capture rate related issues to highly-transient PCC operation are found.
Metadata
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Copyright, Publisher and Additional Information: | ©2020 Elsevier Ltd. This is an author produced version of a paper subsequently published in Energy. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). | ||||||
Keywords: | CO2 capture; Dynamic Modelling; Post-combustion capture; Flexible Operation; Gas Turbine | ||||||
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) | ||||||
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Depositing User: | Symplectic Sheffield | ||||||
Date Deposited: | 09 Nov 2020 12:35 | ||||||
Last Modified: | 02 Feb 2022 13:52 | ||||||
Status: | Published | ||||||
Publisher: | Elsevier | ||||||
Refereed: | Yes | ||||||
Identification Number: | https://doi.org/10.1016/j.energy.2020.119258 |