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Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements

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  • Liliana Rusu

    (Department of Mechanical Engineering, Faculty of Engineering, ‘Dunarea de Jos’ University of Galati, 47 Domneasca St., 800 008 Galati, Romania)

  • Eugen Rusu

    (Department of Mechanical Engineering, Faculty of Engineering, ‘Dunarea de Jos’ University of Galati, 47 Domneasca St., 800 008 Galati, Romania)

Abstract

There is an increasing necessity in reducing CO 2 emissions and implementing clean energy technologies, and over the years the marine environment has shown a huge potential in terms of renewable energy. From this perspective, extracting marine renewable energy represents one of the most important technological challenges of the 21st century. In this context, the objective of the present work is to provide a new and comprehensive understanding concerning the global wave energy resources based on the most recent results coming from two different databases, ERA5 and the European Space Agency Climate Change Initiative for Sea State. In this study, an analysis was first made based only on the ERA5 data and concerns the 30-year period of 1989–2018. The mean wave power, defined as the energy flux per unit of wave-crest length, was evaluated at this step. Besides the spatial distribution of this parameter, its seasonal, inter, and mean annual variability was also assessed on a global scale. As a second step, the mean wave energy density per unit horizontal area was analyzed for a 27-year period (1992–2018) with both ERA5 and the satellite data from the European Space Agency being considered. The comparison indicates a relatively good concordance between the results provided by the two databases in terms of mean wave energy density, although the satellite data indicate slightly higher energy values.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:394-:d:479145
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    as
    1. Editorial, 2020. "Covid-19 and Climate Change," Journal, Review of Agrarian Studies, vol. 10(1), pages 5-6, January-J.
    2. Kamranzad, Bahareh & Etemad-Shahidi, Amir & Chegini, Vahid, 2017. "Developing an optimum hotspot identifier for wave energy extracting in the northern Persian Gulf," Renewable Energy, Elsevier, vol. 114(PA), pages 59-71.
    3. Aleix Maria-Arenas & Aitor J. Garrido & Eugen Rusu & Izaskun Garrido, 2019. "Control Strategies Applied to Wave Energy Converters: State of the Art," Energies, MDPI, vol. 12(16), pages 1-19, August.
    4. Borja G. Reguero & Iñigo J. Losada & Fernando J. Méndez, 2019. "A recent increase in global wave power as a consequence of oceanic warming," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
    5. Babarit, A., 2015. "A database of capture width ratio of wave energy converters," Renewable Energy, Elsevier, vol. 80(C), pages 610-628.
    6. Reguero, B.G. & Losada, I.J. & Méndez, F.J., 2015. "A global wave power resource and its seasonal, interannual and long-term variability," Applied Energy, Elsevier, vol. 148(C), pages 366-380.
    7. Rusu, Liliana & Onea, Florin, 2015. "Assessment of the performances of various wave energy converters along the European continental coasts," Energy, Elsevier, vol. 82(C), pages 889-904.
    8. Florin Onea & Eugen Rusu, 2018. "Sustainability of the Reanalysis Databases in Predicting the Wind and Wave Power along the European Coasts," Sustainability, MDPI, vol. 10(1), pages 1-16, January.
    9. Morim, Joao & Cartwright, Nick & Hemer, Mark & Etemad-Shahidi, Amir & Strauss, Darrell, 2019. "Inter- and intra-annual variability of potential power production from wave energy converters," Energy, Elsevier, vol. 169(C), pages 1224-1241.
    10. 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.
    11. 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.
    12. Allahdadi, M. Nabi & Gunawan, Budi & Lai, Jonathan & He, Ruoying & Neary, Vincent S., 2019. "Development and validation of a regional-scale high-resolution unstructured model for wave energy resource characterization along the US East Coast," Renewable Energy, Elsevier, vol. 136(C), pages 500-511.
    13. 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.
    14. Takvor H. Soukissian & Dimitra Denaxa & Flora Karathanasi & Aristides Prospathopoulos & Konstantinos Sarantakos & Athanasia Iona & Konstantinos Georgantas & Spyridon Mavrakos, 2017. "Marine Renewable Energy in the Mediterranean Sea: Status and Perspectives," Energies, MDPI, vol. 10(10), pages 1-56, September.
    15. Rusu, Liliana, 2019. "The wave and wind power potential in the western Black Sea," Renewable Energy, Elsevier, vol. 139(C), pages 1146-1158.
    16. 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.
    17. Morim, Joao & Cartwright, Nick & Etemad-Shahidi, Amir & Strauss, Darrell & Hemer, Mark, 2016. "Wave energy resource assessment along the Southeast coast of Australia on the basis of a 31-year hindcast," Applied Energy, Elsevier, vol. 184(C), pages 276-297.
    18. Florin Onea & Sorin Ciortan & Eugen Rusu, 2017. "Assessment of the potential for developing combined wind-wave projects in the European nearshore," Energy & Environment, , vol. 28(5-6), pages 580-597, September.
    19. Guillou, Nicolas & Chapalain, Georges, 2020. "Assessment of wave power variability and exploitation with a long-term hindcast database," Renewable Energy, Elsevier, vol. 154(C), pages 1272-1282.
    20. Gallagher, Sarah & Tiron, Roxana & Whelan, Eoin & Gleeson, Emily & Dias, Frédéric & McGrath, Ray, 2016. "The nearshore wind and wave energy potential of Ireland: A high resolution assessment of availability and accessibility," Renewable Energy, Elsevier, vol. 88(C), pages 494-516.
    21. Cameron Hepburn & Brian O’Callaghan & Nicholas Stern & Joseph Stiglitz & Dimitri Zenghelis, 2020. "Will COVID-19 fiscal recovery packages accelerate or retard progress on climate change?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 359-381.
    22. Sierra, J.P. & Casas-Prat, M. & Campins, E., 2017. "Impact of climate change on wave energy resource: The case of Menorca (Spain)," Renewable Energy, Elsevier, vol. 101(C), pages 275-285.
    23. Neill, Simon P. & Hashemi, M. Reza, 2013. "Wave power variability over the northwest European shelf seas," Applied Energy, Elsevier, vol. 106(C), pages 31-46.
    24. Andrés Ruiz & Florin Onea & Eugen Rusu, 2020. "Study Concerning the Expected Dynamics of the Wind Energy Resources in the Iberian Nearshore," Energies, MDPI, vol. 13(18), pages 1-25, September.
    25. Martinez, A. & Iglesias, G., 2020. "Wave exploitability index and wave resource classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    26. Cameron Hepburn & Brian O’Callaghan & Nicholas Stern & Joseph Stiglitz & Dimitri Zenghelis, 0. "Will COVID-19 fiscal recovery packages accelerate or retard progress on climate change?," Oxford Review of Economic Policy, Oxford University Press, vol. 36(Supplemen), pages 359-381.
    27. Lavidas, George & Venugopal, Vengatesan, 2017. "A 35 year high-resolution wave atlas for nearshore energy production and economics at the Aegean Sea," Renewable Energy, Elsevier, vol. 103(C), pages 401-417.
    28. 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.
    29. Adem Akpınar & Halid Jafali & Eugen Rusu, 2019. "Temporal Variation of the Wave Energy Flux in Hotspot Areas of the Black Sea," Sustainability, MDPI, vol. 11(3), pages 1-17, January.
    30. Stopa, Justin E. & Filipot, Jean-François & Li, Ning & Cheung, Kwok Fai & Chen, Yi-Leng & Vega, Luis, 2013. "Wave energy resources along the Hawaiian Island chain," Renewable Energy, Elsevier, vol. 55(C), pages 305-321.
    31. Guanche, R. & de Andrés, A.D. & Simal, P.D. & Vidal, C. & Losada, I.J., 2014. "Uncertainty analysis of wave energy farms financial indicators," Renewable Energy, Elsevier, vol. 68(C), pages 570-580.
    32. 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.
    33. Dina Silva & Eugen Rusu & Carlos Guedes Soares, 2016. "High-Resolution Wave Energy Assessment in Shallow Water Accounting for Tides," Energies, MDPI, vol. 9(9), pages 1-19, September.
    34. Cuttler, Michael V.W. & Hansen, Jeff E. & Lowe, Ryan J., 2020. "Seasonal and interannual variability of the wave climate at a wave energy hotspot off the southwestern coast of Australia," Renewable Energy, Elsevier, vol. 146(C), pages 2337-2350.
    35. 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.
    36. Kamranzad, Bahareh & Takara, Kaoru, 2020. "A climate-dependent sustainability index for wave energy resources in Northeast Asia," Energy, Elsevier, vol. 209(C).
    37. 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.
    38. 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.
    39. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
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    Cited by:

    1. Eugen Rusu, 2022. "Marine Renewable Energy: An Important Direction in Taking the Green Road towards a Low Carbon Future," Energies, MDPI, vol. 15(15), pages 1-3, July.
    2. Zeng, Yuxin & Shi, Wei & Michailides, Constantine & Ren, Zhengru & Li, Xin, 2022. "Turbulence model effects on the hydrodynamic response of an oscillating water column (OWC) with use of a computational fluid dynamics model," Energy, Elsevier, vol. 261(PA).
    3. 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.
    4. Eugen Rusu, 2021. "Special Issue “Advances and Challenges in Harvesting Ocean Energy”," Energies, MDPI, vol. 14(15), pages 1-4, July.
    5. 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.
    6. Ulazia, Alain & Saenz-Aguirre, Aitor & Ibarra-Berastegui, Gabriel & Sáenz, Jon & Carreno-Madinabeitia, Sheila & Esnaola, Ganix, 2023. "Performance variations of wave energy converters due to global long-term wave period change (1900–2010)," Energy, Elsevier, vol. 268(C).

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