IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v155y2020icp1383-1393.html
   My bibliography  Save this article

Estimating wave energy flux from significant wave height and peak period

Author

Listed:
  • Guillou, Nicolas

Abstract

Optimum design and location of wave energy converters in the marine environment require accurate assessments of the spatio-temporal variability of the available wave energy flux. However, numerical hindcast databases (commonly exploited for these long-term evaluations) integrate a restricted number of parameters such as the significant wave height Hs or the peak period Tp. Computation of wave power density from hindcast database is thus conducted by relying on simplified formulations derived from approximations of the group velocity and the wave energy spectrum. The present investigation quantified the biases in wave power computation from two standard formulations, based on the energy period and the peak period, respectively. The analysis relied on NOAA observations in 17 locations of the North-West Atlantic, the Gulf of Mexico and the Caribbean Sea. Whereas the energy-period formulation was a very good approximation of the wave power density in deep waters, the peak-period formulation (with a default calibration coefficient α=0.9) overestimated locally, by more than 8%, the available wave energy flux. A refined distribution of α against classes of Hs and Tp was established to reduce these differences, decreasing the relative difference from 9.9% to 0.3% off the Greater Antilles.

Suggested Citation

  • Guillou, Nicolas, 2020. "Estimating wave energy flux from significant wave height and peak period," Renewable Energy, Elsevier, vol. 155(C), pages 1383-1393.
  • Handle: RePEc:eee:renene:v:155:y:2020:i:c:p:1383-1393
    DOI: 10.1016/j.renene.2020.03.124
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148120304560
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2020.03.124?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. Arena, Felice & Laface, Valentina & Malara, Giovanni & Romolo, Alessandra & Viviano, Antonino & Fiamma, Vincenzo & Sannino, Gianmaria & Carillo, Adriana, 2015. "Wave climate analysis for the design of wave energy harvesters in the Mediterranean Sea," Renewable Energy, Elsevier, vol. 77(C), pages 125-141.
    2. Appendini, Christian M. & Urbano-Latorre, Claudia P. & Figueroa, Bernardo & Dagua-Paz, Claudia J. & Torres-Freyermuth, Alec & Salles, Paulo, 2015. "Wave energy potential assessment in the Caribbean Low Level Jet using wave hindcast information," Applied Energy, Elsevier, vol. 137(C), pages 375-384.
    3. 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.
    4. 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.
    5. Jeremiah Pastor & Yucheng Liu, 2016. "Wave Climate Resource Analysis Based on a Revised Gamma Spectrum for Wave Energy Conversion Technology," Sustainability, MDPI, vol. 8(12), pages 1-14, December.
    6. Guillou, Nicolas & Chapalain, Georges, 2018. "Annual and seasonal variabilities in the performances of wave energy converters," Energy, Elsevier, vol. 165(PB), pages 812-823.
    7. Ahn, Seongho & Haas, Kevin A. & Neary, Vincent S., 2019. "Wave energy resource classification system for US coastal waters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 54-68.
    8. Sierra, Joan Pau & White, Adam & Mösso, Cesar & Mestres, Marc, 2017. "Assessment of the intra-annual and inter-annual variability of the wave energy resource in the Bay of Biscay (France)," Energy, Elsevier, vol. 141(C), pages 853-868.
    9. Wanan Sheng & Hui Li, 2017. "A Method for Energy and Resource Assessment of Waves in Finite Water Depths," Energies, MDPI, vol. 10(4), pages 1-17, April.
    10. Guillou, Nicolas & Chapalain, Georges, 2015. "Numerical modelling of nearshore wave energy resource in the Sea of Iroise," Renewable Energy, Elsevier, vol. 83(C), pages 942-953.
    11. Ozkan, Cigdem & Mayo, Talea, 2019. "The renewable wave energy resource in coastal regions of the Florida peninsula," Renewable Energy, Elsevier, vol. 139(C), pages 530-537.
    12. Defne, Zafer & Haas, Kevin A. & Fritz, Hermann M., 2009. "Wave power potential along the Atlantic coast of the southeastern USA," Renewable Energy, Elsevier, vol. 34(10), pages 2197-2205.
    13. 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.
    14. Portilla, Jesus & Sosa, Jeison & Cavaleri, Luigi, 2013. "Wave energy resources: Wave climate and exploitation," Renewable Energy, Elsevier, vol. 57(C), pages 594-605.
    15. 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.
    16. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
    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. Francisco Haces-Fernandez & Hua Li & David Ramirez, 2022. "Analysis of Wave Energy Behavior and Its Underlying Reasons in the Gulf of Mexico Based on Computer Animation and Energy Events Concept," Sustainability, MDPI, vol. 14(8), pages 1-23, April.
    2. Acar, Emine & Akpinar, Adem & Kankal, Murat & Amarouche, Khalid, 2023. "Increasing trends in spectral peak energy and period in a semi-closed sea," Renewable Energy, Elsevier, vol. 205(C), pages 1092-1104.
    3. Huang, Weinan & Dong, Sheng, 2021. "Improved short-term prediction of significant wave height by decomposing deterministic and stochastic components," Renewable Energy, Elsevier, vol. 177(C), pages 743-758.

    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. 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.
    2. Ahn, Seongho & Haas, Kevin A. & Neary, Vincent S., 2020. "Wave energy resource characterization and assessment for coastal waters of the United States," Applied Energy, Elsevier, vol. 267(C).
    3. Fairley, Iain & Lewis, Matthew & Robertson, Bryson & Hemer, Mark & Masters, Ian & Horrillo-Caraballo, Jose & Karunarathna, Harshinie & Reeve, Dominic E., 2020. "A classification system for global wave energy resources based on multivariate clustering," Applied Energy, Elsevier, vol. 262(C).
    4. Seongho Ahn & Kevin A. Haas & Vincent S. Neary, 2020. "Dominant Wave Energy Systems and Conditional Wave Resource Characterization for Coastal Waters of the United States," Energies, MDPI, vol. 13(12), pages 1-26, June.
    5. 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.
    6. Joan Pau Sierra & Ricard Castrillo & Marc Mestres & César Mösso & Piero Lionello & Luigi Marzo, 2020. "Impact of Climate Change on Wave Energy Resource in the Mediterranean Coast of Morocco," Energies, MDPI, vol. 13(11), pages 1-19, June.
    7. Coe, Ryan G. & Ahn, Seongho & Neary, Vincent S. & Kobos, Peter H. & Bacelli, Giorgio, 2021. "Maybe less is more: Considering capacity factor, saturation, variability, and filtering effects of wave energy devices," Applied Energy, Elsevier, vol. 291(C).
    8. 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.
    9. Sierra, Joan Pau & White, Adam & Mösso, Cesar & Mestres, Marc, 2017. "Assessment of the intra-annual and inter-annual variability of the wave energy resource in the Bay of Biscay (France)," Energy, Elsevier, vol. 141(C), pages 853-868.
    10. Orszaghova, J. & Lemoine, S. & Santo, H. & Taylor, P.H. & Kurniawan, A. & McGrath, N. & Zhao, W. & Cuttler, M.V.W., 2022. "Variability of wave power production of the M4 machine at two energetic open ocean locations: Off Albany, Western Australia and at EMEC, Orkney, UK," Renewable Energy, Elsevier, vol. 197(C), pages 417-431.
    11. 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.
    12. Shi, Xueli & Li, Shaowu & Liang, Bingchen & Zhao, Jianchun & Liu, Ye & Wang, Zhenlu, 2023. "Numerical study on the impact of wave-current interaction on wave energy resource assessments in Zhoushan sea area, China," Renewable Energy, Elsevier, vol. 215(C).
    13. 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.
    14. Ahn, Seongho & Neary, Vincent S. & Haas, Kevin A., 2022. "Global wave energy resource classification system for regional energy planning and project development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    15. 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.
    16. 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.
    17. 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).
    18. Nicolas Guillou & George Lavidas & Bahareh Kamranzad, 2023. "Wave Energy in Brittany (France)—Resource Assessment and WEC Performances," Sustainability, MDPI, vol. 15(2), pages 1-27, January.
    19. 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.
    20. 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.

    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:155:y:2020:i:c:p:1383-1393. 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.