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Optimal operation of floating flywheel energy storage under fluctuating electricity prices

Abstract:
Large-scale energy storage is increasingly required to support offshore renewable generation, motivating interest in floating mechanical storage systems. Here we study the large-scale storage of kinetic energy via a floating offshore flywheel. We develop a simple mathematical model for the flywheel dynamics subject to hydrodynamic drag, bounded applied torque, and time-varying electricity prices, with optional wind-driven torque from surface-mounted sails. The operation of the system is formulated as an optimal control problem that maximises net energy revenue over a periodic operating cycle. The resulting optimal control problem is studied using a combination of asymptotic analysis and numerical optimisation. We show that across a wide range of physically relevant parameters, optimal operation reduces to a regime of near-constant angular velocity. In this regime, charging and discharging are governed by a simple switching rule based on a critical electricity price that can be determined directly from price data. Wind-driven torque enhances performance but does not alter the basic switching control structure. Case studies using idealised price profiles and German electricity market data demonstrate how the resulting switching-based control strategy operates under realistic conditions.
Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1007/s10665-026-10533-3

Authors

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-1664-6976
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
ORCID:
0000-0002-9167-6481


Publisher:
Springer
Journal:
Journal of Engineering Mathematics More from this journal
Volume:
159
Issue:
1
Publication date:
2026-07-16
DOI:
EISSN:
1573-2703
ISSN:
0022-0833


Language:
English
Keywords:
Pubs id:
2447267
Local pid:
pubs:2447267
Source identifiers:
W4415531144
Deposit date:
2026-07-31
ARK identifier:
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