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Electrolysis as a Flexibility Resource on Energy Islands: The Case of the North Sea

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Abstract
Energy islands are meant to facilitate offshore sector integration by combining offshore wind energy with power-to-x technologies and storage. In this study, we investigate the operation of electrolysers on energy islands: We assess the potential flexibility contribution of the elec-trolyser and then analyse different market integration strategies of the islands. We develop a two-stage stochastic optimisation model to find the cost-efficient dispatch for an integrated day-ahead and balancing electricity market. For the market integration of the energy island we align our approach to the current debate and compare the case of a single offshore bidding zone to a case where the energy island is integrated into a home market zone. We find that electrolysers on energy islands will run at low capacity factors and provide flexibility in 26–30 % of their run time. In addition, offshore electrolysers produce more hydrogen when they are allocated to an offshore bidding zone, and thus earn higher profits. We conclude that combining offshore wind with electrolysers on an energy island relies on additional economic incentives if their main role is envisioned to be the delivery of balancing flexibility.

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  • Lüth, Alexandra & Werner, Yannick & Egging-Bratseth, Ruud & Kazempour, Jalal, 2022. "Electrolysis as a Flexibility Resource on Energy Islands: The Case of the North Sea," Working Papers 13-2022, Copenhagen Business School, Department of Economics.
    • Handle: RePEc:hhs:cbsnow:2022_013
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    Cited by:

    1. Kountouris, Ioannis & Langer, Lissy & Bramstoft, Rasmus & Münster, Marie & Keles, Dogan, 2023. "Power-to-X in energy hubs: A Danish case study of renewable fuel production," Energy Policy, Elsevier, vol. 175(C).

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    More about this item

    Keywords

    Energy islands; Offshore energy hub; Flexibility resources; Bidding zones; Hydrogen;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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