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Designing Carbon Policy with Profit-Maximising Energy Storage
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Aalto University, Aalto, Finland.ORCID iD: 0000-0003-1841-1310
Carnegie Mellon University, USA; The Ohio State University, USA.
Number of Authors: 22025 (English)In: Proceedings of the 58th Hawaii International Conference on System Sciences / [ed] Tung X. Bui, 2025, p. 3081-3090Conference paper, Published paper (Refereed)
Abstract [en]

We examine carbon-policy design for a power system with energy storage as well as renewable and fossil-fuelled generation. A central-planning solution internalises the environmental externality of carbon emissions and curbs fossil-fuelled generation in proportion to the marginal cost of damage. By contrast, a decentralised solution leads to a bi-level setup: an upper-level welfare-maximising policymaker sets a carbon tax to impose upon lower-level profit-maximising generators. For completely efficient storage, an optimal carbon tax in this bi-level setting renders the first-best outcome. However, with inefficient storage, an infinitesimal increase in the carbon tax induces prices to increase at the same rate. As a result, storage shifts energy to the off-peak period to offset the loss in the value of stored energy. Hence, relative to the marginal cost of damage from emissions under central planning, the optimal carbon tax for the decentralised case is lower and may be nonmonotonic in energy storage’s inefficiency.

Place, publisher, year, edition, pages
2025. p. 3081-3090
Series
Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS), ISSN 1530-1605, E-ISSN 2572-6862
Keywords [en]
Policy, Markets, and Analytics, bi-level optimisation, carbon policy, energy storage, game theory, renewable energy
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-237968Scopus ID: 2-s2.0-105005156438ISBN: 978-0-9981331-8-8 (electronic)OAI: oai:DiVA.org:su-237968DiVA, id: diva2:1928273
Conference
Hawaii International Conference on System Sciences (HICSS 58), 7-10 January 2025, Big Island, Hawaii.
Available from: 2025-01-16 Created: 2025-01-16 Last updated: 2025-06-16Bibliographically approved

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Siddiqui, Afzal

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CiteExportLink to record
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Citation style
  • apa
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