Optimal Bidding and Operation of a Power Plant with Solvent-Based Carbon Capture under a CO 2 Allowance Market: A Solution with a Reinforcement Learning-Based Sarsa Temporal-Difference Algorithm

Li, Z., Ding, Z. and Wang, M. orcid.org/0000-0001-9752-270X (2017) Optimal Bidding and Operation of a Power Plant with Solvent-Based Carbon Capture under a CO 2 Allowance Market: A Solution with a Reinforcement Learning-Based Sarsa Temporal-Difference Algorithm. Engineering, 3 (2). pp. 257-265. ISSN 2095-8099

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2017 THE AUTHORS. Published by Elsevier LTD on behalf of the Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: Power plants; Post-combustion carbon capture; Chemical absorption; CO2 allowance market; Optimal decision-making; Reinforcement learning
Dates:
  • Published: April 2017
  • Accepted: 10 March 2017
  • Published (online): 12 May 2017
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: 28 Jun 2017 10:51
Last Modified: 30 Jun 2017 16:24
Published Version: https://doi.org/10.1016/J.ENG.2017.02.014
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/J.ENG.2017.02.014

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