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A high resolution geospatial database for wave energy exploitation

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  • Carballo, R.
  • Sánchez, M.
  • Ramos, V.
  • Taveira-Pinto, F.
  • Iglesias, G.

Abstract

The estimation of energy production of a given WEC (wave energy converter) at a given coastal site is the basis for correct decision-making regarding wave energy exploitation in a coastal region. Nevertheless, the procedure followed by the conventional approach to characterize the wave energy resource does not provide the required information to obtain an accurate estimate. In this work, this information is provided for the region with the greatest resource in the Iberian Peninsula, the Death Coast (NW Spain). For this purpose, a geospatial database is produced by using a methodology which involves the consideration of virtually the totality of the resource together with the implementation of a high resolution spectral numerical model. In addition, a Matlab-based toolbox called WEDGE (Wave Energy Diagram GEnerator) is implemented to access the database and automatically generate high resolution energy diagrams (or characterization matrices) of the wave energy resource at any coastal location within this region. In this way, a precise computation of energy production of any WEC at any site of interest can now be performed. Finally, the functionality of the database is shown through a case study of a recently proposed wave farm.

Suggested Citation

  • Carballo, R. & Sánchez, M. & Ramos, V. & Taveira-Pinto, F. & Iglesias, G., 2014. "A high resolution geospatial database for wave energy exploitation," Energy, Elsevier, vol. 68(C), pages 572-583.
    • Handle: RePEc:eee:energy:v:68:y:2014:i:c:p:572-583
    DOI: 10.1016/j.energy.2014.02.093
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    2. Martinez, A. & Iglesias, G., 2020. "Wave exploitability index and wave resource classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    3. Arean, N. & Carballo, R. & Iglesias, G., 2017. "An integrated approach for the installation of a wave farm," Energy, Elsevier, vol. 138(C), pages 910-919.
    4. 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.
    5. Zheng, Siming & Zhang, Yongliang & Iglesias, Gregorio, 2020. "Concept and performance of a novel wave energy converter: Variable Aperture Point-Absorber (VAPA)," Renewable Energy, Elsevier, vol. 153(C), pages 681-700.
    6. Ribeiro, P.J.C. & Henriques, J.C.C. & Campuzano, F.J. & Gato, L.M.C. & Falcão, A.F.O., 2020. "A new directional wave spectra characterization for offshore renewable energy applications," Energy, Elsevier, vol. 213(C).
    7. Astariz, S. & Iglesias, G., 2015. "The economics of wave energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 397-408.
    8. Fouz, D.M. & Carballo, R. & López, I. & González, X.P. & Iglesias, G., 2023. "A methodology for cost-effective analysis of hydrokinetic energy projects," Energy, Elsevier, vol. 282(C).
    9. Astariz, S. & Iglesias, G., 2016. "Output power smoothing and reduced downtime period by combined wind and wave energy farms," Energy, Elsevier, vol. 97(C), pages 69-81.
    10. 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.
    11. Ramadan, Mohamad & Khaled, Mahmoud & Haddad, Ahmad & Abdulhay, Bakri & Durrant, Andy & El Hage, Hicham, 2018. "An inhouse code for simulating heat recovery from boilers to heat water," Energy, Elsevier, vol. 157(C), pages 200-210.
    12. Zou, Shangyan & Robertson, Bryson & Paudel, Sanjaya, 2023. "Geospatial Analysis of Technical U.S. Wave Net Power Potential," Renewable Energy, Elsevier, vol. 210(C), pages 725-736.
    13. Zhao, Yunpeng & Fan, Zhongqi & Bi, Chunwei & Wang, Hao & Mi, Jianchun & Xu, Minyi, 2022. "On hydrodynamic and electrical characteristics of a self-powered triboelectric nanogenerator based buoy under water ripples," Applied Energy, Elsevier, vol. 308(C).
    14. Guillou, Nicolas & Chapalain, Georges, 2018. "Annual and seasonal variabilities in the performances of wave energy converters," Energy, Elsevier, vol. 165(PB), pages 812-823.
    15. Abanades, J. & Greaves, D. & Iglesias, G., 2015. "Coastal defence using wave farms: The role of farm-to-coast distance," Renewable Energy, Elsevier, vol. 75(C), pages 572-582.
    16. Galparsoro, I. & Korta, M. & Subirana, I. & Borja, Á. & Menchaca, I. & Solaun, O. & Muxika, I. & Iglesias, G. & Bald, J., 2021. "A new framework and tool for ecological risk assessment of wave energy converters projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    17. López, I. & Pereiras, B. & Castro, F. & Iglesias, G., 2016. "Holistic performance analysis and turbine-induced damping for an OWC wave energy converter," Renewable Energy, Elsevier, vol. 85(C), pages 1155-1163.
    18. Foteinis, S. & Hancock, J. & Mazarakis, N. & Tsoutsos, T. & Synolakis, C.E., 2017. "A comparative analysis of wave power in the nearshore by WAM estimates and in-situ (AWAC) measurements. The case study of Varkiza, Athens, Greece," Energy, Elsevier, vol. 138(C), pages 500-508.
    19. Eugen Rusu, 2018. "Numerical Modeling of the Wave Energy Propagation in the Iberian Nearshore," Energies, MDPI, vol. 11(4), pages 1-18, April.
    20. Ramos, V. & López, M. & Taveira-Pinto, F. & Rosa-Santos, P., 2017. "Influence of the wave climate seasonality on the performance of a wave energy converter: A case study," Energy, Elsevier, vol. 135(C), pages 303-316.
    21. 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.
    22. Eugen Rusu, 2014. "Evaluation of the Wave Energy Conversion Efficiency in Various Coastal Environments," Energies, MDPI, vol. 7(6), pages 1-17, June.
    23. Zhou, Guoqing & Huang, Jingjin & Zhang, Guangyun, 2015. "Evaluation of the wave energy conditions along the coastal waters of Beibu Gulf, China," Energy, Elsevier, vol. 85(C), pages 449-457.
    24. Yang, Zhaoqing & Neary, Vincent S. & Wang, Taiping & Gunawan, Budi & Dallman, Annie R. & Wu, Wei-Cheng, 2017. "A wave model test bed study for wave energy resource characterization," Renewable Energy, Elsevier, vol. 114(PA), pages 132-144.
    25. Vazquez, A. & Iglesias, G., 2016. "Grid parity in tidal stream energy projects: An assessment of financial, technological and economic LCOE input parameters," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 89-101.

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