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Quantifying the System Benefits of Ocean Energy in the Context of Variability: A UK Example

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  • Donald R. Noble

    (School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3DW, UK)

  • Shona Pennock

    (School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3DW, UK
    CorPower Ocean, Västberga Allé 60, Hägersten, 126 30 Stockholm, Sweden)

  • Daniel Coles

    (Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK)

  • Timur Delahaye

    (CorPower Ocean, Västberga Allé 60, Hägersten, 126 30 Stockholm, Sweden)

  • Henry Jeffrey

    (School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3DW, UK)

Abstract

Recent studies have shown benefits of using tidal stream and wave energy in the electricity generation mix to improve supply–demand balancing on annual/subannual timeframes. This paper investigates this further by considering the variability of solar photovoltaic, onshore and offshore wind, wave, and tidal stream over multiple years. It also considers their ability to match with electricity demand when combined. Variability of demand and generation can have a significant impact on results. Over the sample of five years considered (2015–2019), demand varied by around 3%, and the availability of each renewable technology differed by up to 9%. This highlights the importance of considering multiple years of input data when assessing power system impacts, instead of relying on an ‘average’ year. It is also key that weather related correlations between renewable resources and with demand can be maintained in the data. Results from an economic dispatch model of Great Britain’s power system in 2030 are even more sensitive to the input data year, with costs and carbon emissions varying by up to 21% and 45%, respectively. Using wave or tidal stream as part of the future energy mix was seen to have a positive impact in all cases considered; 1 GW of wave and tidal (0.57% of total capacity) reduces annual dispatch cost by 0.2–1.3% and annual carbon emissions by 2.3–3.5%. These results lead to recommended best practises for modelling high renewable power systems, and will be of interest to modellers and policy makers.

Suggested Citation

  • Donald R. Noble & Shona Pennock & Daniel Coles & Timur Delahaye & Henry Jeffrey, 2025. "Quantifying the System Benefits of Ocean Energy in the Context of Variability: A UK Example," Energies, MDPI, vol. 18(14), pages 1-24, July.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:14:p:3717-:d:1701264
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    References listed on IDEAS

    as
    1. Pennock, Shona & Coles, Daniel & Angeloudis, Athanasios & Bhattacharya, Saptarshi & Jeffrey, Henry, 2022. "Temporal complementarity of marine renewables with wind and solar generation: Implications for GB system benefits," Applied Energy, Elsevier, vol. 319(C).
    2. Staffell, Iain & Pfenninger, Stefan, 2018. "The increasing impact of weather on electricity supply and demand," Energy, Elsevier, vol. 145(C), pages 65-78.
    3. Lamy, Julian V. & Azevedo, Inês L., 2018. "Do tidal stream energy projects offer more value than offshore wind farms? A case study in the United Kingdom," Energy Policy, Elsevier, vol. 113(C), pages 28-40.
    4. David E. H. J. Gernaat & Harmen Sytze Boer & Vassilis Daioglou & Seleshi G. Yalew & Christoph Müller & Detlef P. Vuuren, 2021. "Author Correction: Climate change impacts on renewable energy supply," Nature Climate Change, Nature, vol. 11(4), pages 362-362, April.
    5. Coles, Daniel & Wray, Bevan & Stevens, Rob & Crawford, Scott & Pennock, Shona & Miles, Jon, 2023. "Impacts of tidal stream power on energy system security: An Isle of Wight case study," Applied Energy, Elsevier, vol. 334(C).
    6. Bhattacharya, Saptarshi & Pennock, Shona & Robertson, Bryson & Hanif, Sarmad & Alam, Md Jan E. & Bhatnagar, Dhruv & Preziuso, Danielle & O’Neil, Rebecca, 2021. "Timing value of marine renewable energy resources for potential grid applications," Applied Energy, Elsevier, vol. 299(C).
    7. Grubb, M. J., 1991. "The integration of renewable electricity sources," Energy Policy, Elsevier, vol. 19(7), pages 670-688, September.
    8. Alimou, Yacine & Maïzi, Nadia & Bourmaud, Jean-Yves & Li, Marion, 2020. "Assessing the security of electricity supply through multi-scale modeling: The TIMES-ANTARES linking approach," Applied Energy, Elsevier, vol. 279(C).
    9. David E. H. J. Gernaat & Harmen Sytze Boer & Vassilis Daioglou & Seleshi G. Yalew & Christoph Müller & Detlef P. Vuuren, 2021. "Climate change impacts on renewable energy supply," Nature Climate Change, Nature, vol. 11(2), pages 119-125, February.
    10. Pearre, Nathaniel & Adye, Katherine & Swan, Lukas, 2019. "Proportioning wind, solar, and in-stream tidal electricity generating capacity to co-optimize multiple grid integration metrics," Applied Energy, Elsevier, vol. 242(C), pages 69-77.
    11. Psiloglou, B.E. & Giannakopoulos, C. & Majithia, S. & Petrakis, M., 2009. "Factors affecting electricity demand in Athens, Greece and London, UK: A comparative assessment," Energy, Elsevier, vol. 34(11), pages 1855-1863.
    12. Bistline, John & Blanford, Geoffrey & Mai, Trieu & Merrick, James, 2021. "Modeling variable renewable energy and storage in the power sector," Energy Policy, Elsevier, vol. 156(C).
    13. Merrick, James H., 2016. "On representation of temporal variability in electricity capacity planning models," Energy Economics, Elsevier, vol. 59(C), pages 261-274.
    14. Pedruzzi, Rizzieri & Silva, Allan Rodrigues & Soares dos Santos, Thalyta & Araujo, Allan Cavalcante & Cotta Weyll, Arthur Lúcide & Lago Kitagawa, Yasmin Kaore & Nunes da Silva Ramos, Diogo & Milani de, 2023. "Review of mapping analysis and complementarity between solar and wind energy sources," Energy, Elsevier, vol. 283(C).
    15. Coker, Phil J. & Bloomfield, Hannah C. & Drew, Daniel R. & Brayshaw, David J., 2020. "Interannual weather variability and the challenges for Great Britain’s electricity market design," Renewable Energy, Elsevier, vol. 150(C), pages 509-522.
    16. Gallo Cassarino, Tiziano & Sharp, Ed & Barrett, Mark, 2018. "The impact of social and weather drivers on the historical electricity demand in Europe," Applied Energy, Elsevier, vol. 229(C), pages 176-185.
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