IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i14p3717-d1701264.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/14/3717/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/14/3717/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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).
    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. Merrick, James H., 2016. "On representation of temporal variability in electricity capacity planning models," Energy Economics, Elsevier, vol. 59(C), pages 261-274.
    8. 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).
    9. Staffell, Iain & Pfenninger, Stefan, 2018. "The increasing impact of weather on electricity supply and demand," Energy, Elsevier, vol. 145(C), pages 65-78.
    10. 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.
    11. 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.
    12. 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).
    13. Grubb, M. J., 1991. "The integration of renewable electricity sources," Energy Policy, Elsevier, vol. 19(7), pages 670-688, September.
    14. 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.
    15. 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.
    16. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Plaga, Leonie Sara & Bertsch, Valentin, 2023. "Methods for assessing climate uncertainty in energy system models — A systematic literature review," Applied Energy, Elsevier, vol. 331(C).
    2. Mahsa Dehghan Manshadi & Milad Mousavi & M. Soltani & Amir Mosavi & Levente Kovacs, 2022. "Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System," Energies, MDPI, vol. 15(24), pages 1-16, December.
    3. Zheng, Mingbo & Zhang, Xinyu, 2025. "Digitalization and renewable energy development: Analysis based on cross-country panel data," Energy, Elsevier, vol. 319(C).
    4. Yi, Yuxin & Zhang, Liming & Du, Lei & Sun, Helin, 2024. "Cross-regional integration of renewable energy and corporate carbon emissions: Evidence from China's cross-regional surplus renewable energy spot trading pilot," Energy Economics, Elsevier, vol. 135(C).
    5. Merrick, James H. & Bistline, John E.T. & Blanford, Geoffrey J., 2024. "On representation of energy storage in electricity planning models," Energy Economics, Elsevier, vol. 136(C).
    6. Kang, Kai & Su, Yifan & Yang, Peng & Wang, Zhaojian & Liu, Feng, 2025. "Securing long-term dispatch of isolated microgrids with high-penetration renewable generation: A controlled evolution-based framework," Applied Energy, Elsevier, vol. 381(C).
    7. Hsiang-He Lee & Robert S. Arthur & Jean-Christophe Golaz & Thomas A. Edmunds & Jessica L. Wert & Matthew V. Signorotti & Jean-Paul Watson, 2025. "Assessment of Climate Change Impacts on Renewable Energy Resources in Western North America," Energies, MDPI, vol. 18(13), pages 1-27, July.
    8. Kapica, Jacek & Jurasz, Jakub & Canales, Fausto A. & Bloomfield, Hannah & Guezgouz, Mohammed & De Felice, Matteo & Zbigniew, Kobus, 2024. "The potential impact of climate change on European renewable energy droughts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    9. Mastroeni, Loretta & Mazzoccoli, Alessandro & Vellucci, Pierluigi, 2024. "Wavelet entropy and complexity–entropy curves approach for energy commodity price predictability amid the transition to alternative energy sources," Chaos, Solitons & Fractals, Elsevier, vol. 184(C).
    10. Dai, Zhifeng & Hu, Juan & Liu, Xinheng & Yang, Mi, 2024. "ynamic time-domain and frequency-domain spillovers and portfolio strategies between climate change attention and energy-relevant markets," Energy Economics, Elsevier, vol. 134(C).
    11. Cheng, Qian & Liu, Pan & Xia, Qian & Cheng, Lei & Ming, Bo & Zhang, Wei & Xu, Weifeng & Zheng, Yalian & Han, Dongyang & Xia, Jun, 2023. "An analytical method to evaluate curtailment of hydro–photovoltaic hybrid energy systems and its implication under climate change," Energy, Elsevier, vol. 278(C).
    12. Cheng, Qian & Liu, Pan & Ming, Bo & Yang, Zhikai & Cheng, Lei & Liu, Zheyuan & Huang, Kangdi & Xu, Weifeng & Gong, Lanqiang, 2024. "Synchronizing short-, mid-, and long-term operations of hydro-wind-photovoltaic complementary systems," Energy, Elsevier, vol. 305(C).
    13. Bruno Neves de Campos & Daniela de Oliveira Maionchi & Junior Gonçalves da Silva & Marcelo Sacardi Biudes & Nicolas Neves de Oliveira & Rafael da Silva Palácios, 2025. "Photovoltaic Energy Modeling Using Machine Learning Applied to Meteorological Variables," Sustainability, MDPI, vol. 17(16), pages 1-18, August.
    14. Sinha, Avik & Tiwari, Sunil & Saha, Tanaya, 2024. "Modeling the behavior of renewable energy market: Understanding the moderation of climate risk factors," Energy Economics, Elsevier, vol. 130(C).
    15. Ping, Dazhou & Li, Chaosu & Yu, Xiaojun & Liu, Zhengxuan & Tu, Ran & Zhou, Yuekuan, 2025. "City-scale information modelling for urban energy resilience with optimal battery energy storages in Hong Kong," Applied Energy, Elsevier, vol. 378(PA).
    16. Truong, Chi & Trueck, Stefan & Pitt, David & Best, Rohan, 2025. "Seasonality and valuation of renewable energy projects in a two factor model," Applied Energy, Elsevier, vol. 389(C).
    17. Cao, Yan & Cheng, Sheng & Li, Xinran, 2024. "Co-movements between heterogeneous crude oil and food markets: Does temperature change really matter?," Research in International Business and Finance, Elsevier, vol. 67(PB).
    18. Zhang, Li & Wang, Lu & Peng, Lijuan & Luo, Keyu, 2023. "Measuring the response of clean energy stock price volatility to extreme shocks," Renewable Energy, Elsevier, vol. 206(C), pages 1289-1300.
    19. Akdemir, Kerem Ziya & Robertson, Bryson & Oikonomou, Konstantinos & Kern, Jordan & Voisin, Nathalie & Hanif, Sarmad & Bhattacharya, Saptarshi, 2023. "Opportunities for wave energy in bulk power system operations," Applied Energy, Elsevier, vol. 352(C).
    20. Lee, Chi-Chuan & Fang, Yuzhu, 2025. "Climate finance for energy security: An empirical analysis from a global perspective," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 963-978.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:14:p:3717-:d:1701264. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.