Abstract
Offshore wind energy will comprise a significant share of the future European electricity supply. This, however, comes with the challenge of intermittency of the wind resource, and the threat of energy droughts. Energy Storage Systems (ESSs) are needed to tackle this challenge; integrating storage within offshore wind farms instead of onshore can provide additional benefits to the power system and enable large-scale integration of wind energy. To this end, we investigate a subsea pumped-hydro storage system utilizing the pressure difference between the seabed and the atmosphere to store electricity in the form of potential energy of a working fluid in two reservoirs. To optimize the design of the storage system in terms of energy and power capacity installed, we introduce a mixedinteger linear program (MILP). The system's design and operation is optimized to maximize profits over a period of one month accounting for both investment and operational cashflows. Results show that the system can have high round-trip efficiencies (~70%) comparable to conventional pumped-hydro storage (70-80%) with a storage size of up to 32 MWh for a sea depth of 50 m. In our case study, the system runs up to 4 full cycles per day. When participating in the day-ahead market exclusively, the system becomes profitable for electricity price fluctuations with standard deviations of at least double the 2019 values (in the Netherlands), which are likely to materialize in the future.
Original language | English |
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Pages (from-to) | 2185-2190 |
Number of pages | 6 |
Journal | Computer Aided Chemical Engineering |
Volume | 53 |
DOIs | |
Publication status | Published - Jan 2024 |
Bibliographical note
Publisher Copyright:© 2024 Elsevier B.V.
Funding
During the preparation of this work the authors used ChatGPT 3.5 to enhance readability and refine clarity of the first draft. After using, the authors reviewed and edited the content as needed and take full responsibility for the publication. This work was supported by DOSTA (project number WIND.2019.002) of the NWO research program PhD@Sea, (partly) financed by the Dutch Research Council (NWO). We are grateful to Ocean Grazer B.V. for providing support and the opportunity for collaboration.
Funders | Funder number |
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Nederlandse Organisatie voor Wetenschappelijk Onderzoek | |
DOSTA | WIND.2019.002 |
Keywords
- energy storage
- mathematical optimization
- mixed integer linear program
- offshore wind
- subsea pumped-hydro