IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v195y2022icp657-669.html
   My bibliography  Save this article

The near future expected wave power in the coastal environment of the Iberian Peninsula

Author

Listed:
  • Rusu, Liliana

Abstract

The main target of the proposed work is to assess the expected wave energy dynamics in the coastal environment of the Iberian Peninsula. This study is motivated by the fact that the Iberian nearshore is considered among the most promising European coastal environments for wave energy extraction with experimental wave projects already operating there since many years. The near future period considered for this analysis is the 20-year time interval 2026–2045 under the Representative Concentration Pathway scenario 4.5 (RCP4.5). In parallel, in order to have a coherent degree of comparison, the results are compared with those corresponding to the recent past 20-year time interval 2001–2020. A wave modelling system based on the third-generation spectral phase averaged model SWAN (acronym from Simulating WAves Nearshore) was implemented for the entire North Atlantic basin and focused on the Iberian nearshore. Furthermore, calibrations and extensive validations of this wave prediction system have been performed. Thus, system reliability was evaluated both against buoy and satellite data and the results were found as having good accuracy. The wave energy data corresponding to the near future (2026–2045) are compared with those from the other 20-year period from the recent past (2001–2020). In this way, a comprehensive picture of the expected wave power dynamics in the coastal environment of the Iberian Peninsula is provided. The results show that there are no significant differences between the two periods considered, especially in the transition seasons (spring and autumn), both in terms of maximum values and also as regards the general patterns of the wave power fields. However, in the near future, a decrease of the resources is expected near to the coast in the summer season, compared to the values simulated for the recent past (from 12 kW/m to 9 kW/m). A contrary tendency corresponds to the winter season when for the near future we find a maximum value higher by about 14 kW/m than in the recent past.

Suggested Citation

  • Rusu, Liliana, 2022. "The near future expected wave power in the coastal environment of the Iberian Peninsula," Renewable Energy, Elsevier, vol. 195(C), pages 657-669.
    • Handle: RePEc:eee:renene:v:195:y:2022:i:c:p:657-669
    DOI: 10.1016/j.renene.2022.06.047
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122008795
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.06.047?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Palha, Artur & Mendes, Lourenço & Fortes, Conceição Juana & Brito-Melo, Ana & Sarmento, António, 2010. "The impact of wave energy farms in the shoreline wave climate: Portuguese pilot zone case study using Pelamis energy wave devices," Renewable Energy, Elsevier, vol. 35(1), pages 62-77.
    2. Majidi, Ajab Gul & Bingölbali, Bilal & Akpınar, Adem & Rusu, Eugen, 2021. "Wave power performance of wave energy converters at high-energy areas of a semi-enclosed sea," Energy, Elsevier, vol. 220(C).
    3. Lund, Henrik, 2007. "Renewable energy strategies for sustainable development," Energy, Elsevier, vol. 32(6), pages 912-919.
    4. Onea, Florin & Rusu, Eugen, 2016. "The expected efficiency and coastal impact of a hybrid energy farm operating in the Portuguese nearshore," Energy, Elsevier, vol. 97(C), pages 411-423.
    5. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2018. "A 33-year hindcast on wave energy assessment in the western French coast," Energy, Elsevier, vol. 165(PB), pages 790-801.
    6. Rusu, Liliana, 2019. "The wave and wind power potential in the western Black Sea," Renewable Energy, Elsevier, vol. 139(C), pages 1146-1158.
    7. García-Medina, Gabriel & Yang, Zhaoqing & Wu, Wei-Cheng & Wang, Taiping, 2021. "Wave resource characterization at regional and nearshore scales for the U.S. Alaska coast based on a 32-year high-resolution hindcast," Renewable Energy, Elsevier, vol. 170(C), pages 595-612.
    8. Liliana Rusu & Eugen Rusu, 2021. "Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements," Energies, MDPI, vol. 14(2), pages 1-16, January.
    9. Yang, Zhaoqing & García-Medina, Gabriel & Wu, Wei-Cheng & Wang, Taiping, 2020. "Characteristics and variability of the nearshore wave resource on the U.S. West Coast," Energy, Elsevier, vol. 203(C).
    10. Martinez, A. & Iglesias, G., 2020. "Wave exploitability index and wave resource classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    11. Silva, Dina & Bento, A. Rute & Martinho, Paulo & Guedes Soares, C., 2015. "High resolution local wave energy modelling in the Iberian Peninsula," Energy, Elsevier, vol. 91(C), pages 1099-1112.
    12. Eugen Rusu, 2014. "Evaluation of the Wave Energy Conversion Efficiency in Various Coastal Environments," Energies, MDPI, vol. 7(6), pages 1-17, June.
    13. Rusu, Eugen, 2020. "An evaluation of the wind energy dynamics in the Baltic Sea, past and future projections," Renewable Energy, Elsevier, vol. 160(C), pages 350-362.
    14. Américo S. Ribeiro & Maite deCastro & Liliana Rusu & Mariana Bernardino & João M. Dias & Moncho Gomez-Gesteira, 2020. "Evaluating the Future Efficiency of Wave Energy Converters along the NW Coast of the Iberian Peninsula," Energies, MDPI, vol. 13(14), pages 1-15, July.
    15. Lin, Yifan & Dong, Sheng & Wang, Zhifeng & Guedes Soares, C., 2019. "Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids," Renewable Energy, Elsevier, vol. 136(C), pages 275-295.
    16. Carballo, R. & Arean, N. & Álvarez, M. & López, I. & Castro, A. & López, M. & Iglesias, G., 2019. "Wave farm planning through high-resolution resource and performance characterization," Renewable Energy, Elsevier, vol. 135(C), pages 1097-1107.
    17. Astariz, S. & Perez-Collazo, C. & Abanades, J. & Iglesias, G., 2015. "Co-located wave-wind farms: Economic assessment as a function of layout," Renewable Energy, Elsevier, vol. 83(C), pages 837-849.
    18. Lavidas, George & Blok, Kornelis, 2021. "Shifting wave energy perceptions: The case for wave energy converter (WEC) feasibility at milder resources," Renewable Energy, Elsevier, vol. 170(C), pages 1143-1155.
    19. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2020. "Wave energy assessment based on a 33-year hindcast for the Canary Islands," Renewable Energy, Elsevier, vol. 152(C), pages 259-269.
    20. Bernardino, Mariana & Rusu, Liliana & Guedes Soares, C., 2017. "Evaluation of the wave energy resources in the Cape Verde Islands," Renewable Energy, Elsevier, vol. 101(C), pages 316-326.
    21. Rusu, Eugen & Onea, Florin, 2019. "An assessment of the wind and wave power potential in the island environment," Energy, Elsevier, vol. 175(C), pages 830-846.
    22. Lund, H., 2006. "Large-scale integration of optimal combinations of PV, wind and wave power into the electricity supply," Renewable Energy, Elsevier, vol. 31(4), pages 503-515.
    23. Lisboa, Rodrigo C. & Teixeira, Paulo R.F. & Fortes, Conceição Juana, 2017. "Numerical evaluation of wave energy potential in the south of Brazil," Energy, Elsevier, vol. 121(C), pages 176-184.
    24. Li, Ning & García-Medina, Gabriel & Cheung, Kwok Fai & Yang, Zhaoqing, 2021. "Wave energy resources assessment for the multi-modal sea state of Hawaii," Renewable Energy, Elsevier, vol. 174(C), pages 1036-1055.
    25. Ahn, Seongho & Neary, Vincent S. & Allahdadi, Mohammad Nabi & He, Ruoying, 2021. "Nearshore wave energy resource characterization along the East Coast of the United States," Renewable Energy, Elsevier, vol. 172(C), pages 1212-1224.
    26. Hemer, Mark A. & Zieger, Stefan & Durrant, Tom & O'Grady, Julian & Hoeke, Ron K. & McInnes, Kathleen L. & Rosebrock, Uwe, 2017. "A revised assessment of Australia's national wave energy resource," Renewable Energy, Elsevier, vol. 114(PA), pages 85-107.
    27. Kostas Belibassakis & Markos Bonovas & Eugen Rusu, 2018. "A Novel Method for Estimating Wave Energy Converter Performance in Variable Bathymetry Regions and Applications," Energies, MDPI, vol. 11(8), pages 1-16, August.
    28. Rusu, Liliana & Onea, Florin, 2017. "The performance of some state-of-the-art wave energy converters in locations with the worldwide highest wave power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1348-1362.
    29. Kamranzad, Bahareh & Lin, Pengzhi & Iglesias, Gregorio, 2021. "Combining methodologies on the impact of inter and intra-annual variation of wave energy on selection of suitable location and technology," Renewable Energy, Elsevier, vol. 172(C), pages 697-713.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. deCastro, M. & Rusu, L. & Arguilé-Pérez, B. & Ribeiro, A. & Costoya, X. & Carvalho, D. & Gómez-Gesteira, M., 2024. "Different approaches to analyze the impact of future climate change on the exploitation of wave energy," Renewable Energy, Elsevier, vol. 220(C).

    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. Liliana Rusu & Eugen Rusu, 2021. "Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements," Energies, MDPI, vol. 14(2), pages 1-16, January.
    2. Rusu, Liliana, 2019. "Evaluation of the near future wave energy resources in the Black Sea under two climate scenarios," Renewable Energy, Elsevier, vol. 142(C), pages 137-146.
    3. Américo S. Ribeiro & Maite deCastro & Liliana Rusu & Mariana Bernardino & João M. Dias & Moncho Gomez-Gesteira, 2020. "Evaluating the Future Efficiency of Wave Energy Converters along the NW Coast of the Iberian Peninsula," Energies, MDPI, vol. 13(14), pages 1-15, July.
    4. Yang, Zhaoqing & García Medina, Gabriel & Neary, Vincent S. & Ahn, Seongho & Kilcher, Levi & Bharath, Aidan, 2023. "Multi-decade high-resolution regional hindcasts for wave energy resource characterization in U.S. coastal waters," Renewable Energy, Elsevier, vol. 212(C), pages 803-817.
    5. Choupin, Ophelie & Del Río-Gamero, B. & Schallenberg-Rodríguez, Julieta & Yánez-Rosales, Pablo, 2022. "Integration of assessment-methods for wave renewable energy: Resource and installation feasibility," Renewable Energy, Elsevier, vol. 185(C), pages 455-482.
    6. Rusu, Liliana, 2020. "A projection of the expected wave power in the Black Sea until the end of the 21st century," Renewable Energy, Elsevier, vol. 160(C), pages 136-147.
    7. Yang, Zhaoqing & García-Medina, Gabriel & Wu, Wei-Cheng & Wang, Taiping, 2020. "Characteristics and variability of the nearshore wave resource on the U.S. West Coast," Energy, Elsevier, vol. 203(C).
    8. Shao, Zhuxiao & Gao, Huijun & Liang, Bingchen & Lee, Dongyoung, 2022. "Potential, trend and economic assessments of global wave power," Renewable Energy, Elsevier, vol. 195(C), pages 1087-1102.
    9. Choupin, O. & Pinheiro Andutta, F. & Etemad-Shahidi, A. & Tomlinson, R., 2021. "A decision-making process for wave energy converter and location pairing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    10. García Medina, Gabriel & Yang, Zhaoqing & Li, Ning & Cheung, Kwok Fai & Lutu-McMoore, Elinor, 2023. "Wave climate and energy resources in American Samoa from a 42-year high-resolution hindcast," Renewable Energy, Elsevier, vol. 210(C), pages 604-617.
    11. Rusu, Eugen & Onea, Florin, 2019. "An assessment of the wind and wave power potential in the island environment," Energy, Elsevier, vol. 175(C), pages 830-846.
    12. Kilcher, Levi & García Medina, Gabriel & Yang, Zhaoqing, 2023. "A scalable wave resource assessment methodology: Application to U.S. waters," Renewable Energy, Elsevier, vol. 217(C).
    13. Ferrari, Francesco & Besio, Giovanni & Cassola, Federico & Mazzino, Andrea, 2020. "Optimized wind and wave energy resource assessment and offshore exploitability in the Mediterranean Sea," Energy, Elsevier, vol. 190(C).
    14. de Oliveira, Lucas & Santos, Ivan Felipe Silva dos & Schmidt, Nágila Lucietti & Tiago Filho, Geraldo Lúcio & Camacho, Ramiro Gustavo Ramirez & Barros, Regina Mambeli, 2021. "Economic feasibility study of ocean wave electricity generation in Brazil," Renewable Energy, Elsevier, vol. 178(C), pages 1279-1290.
    15. Xu, Sheng & Wang, Shan & Guedes Soares, C., 2019. "Review of mooring design for floating wave energy converters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 595-621.
    16. Delpey, Matthias & Lastiri, Ximun & Abadie, Stéphane & Roeber, Volker & Maron, Philippe & Liria, Pedro & Mader, Julien, 2021. "Characterization of the wave resource variability in the French Basque coastal area based on a high-resolution hindcast," Renewable Energy, Elsevier, vol. 178(C), pages 79-95.
    17. Laura Castro-Santos & Ana Rute Bento & Carlos Guedes Soares, 2020. "The Economic Feasibility of Floating Offshore Wave Energy Farms in the North of Spain," Energies, MDPI, vol. 13(4), pages 1-19, February.
    18. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2020. "Wave energy assessment based on a 33-year hindcast for the Canary Islands," Renewable Energy, Elsevier, vol. 152(C), pages 259-269.
    19. Choupin, Ophelie & Henriksen, Michael & Tomlinson, Rodger, 2022. "Interrelationship between variables for wave direction-dependent WEC/site-configuration pairs using the CapEx method," Energy, Elsevier, vol. 248(C).
    20. Ribeiro, A.S. & deCastro, M. & Costoya, X. & Rusu, Liliana & Dias, J.M. & Gomez-Gesteira, M., 2021. "A Delphi method to classify wave energy resource for the 21st century: Application to the NW Iberian Peninsula," Energy, Elsevier, vol. 235(C).

    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:eee:renene:v:195:y:2022:i:c:p:657-669. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.