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Finding gaps on power production assessment on WECs: Wave definition analysis

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  • de Andrés, A.D.
  • Guanche, R.
  • Weber, J.
  • Costello, R.

Abstract

This paper presents a study of several factors that affect the long-term performance of Wave energy Converters (WECs) based on the methodology presented in de Andres et al. (2013). This methodology consists of a sea state selection technique (MaxDiss), then this selected sea states are introduced into a numerical model in order to calculate the power performance. Finally this data are interpolated with a non linear technique (Radial Basis functions) in order to obtain the long term performance of a WEC on a long met-ocean data series with low computational requirements. In this paper, three types of converter, a one body heaving converter (follower), a two-body resonant converter as well as a deep water flap are investigated. Also four different locations with different met-ocean conditions in terms of the scatter plots and the sea conditions (swell-wind sea) distribution were selected (North of Spain, West of Denmark, Chile and West of Ireland). The methodology worked perfectly for all the selected alternatives, although it was demonstrated to work better for non-resonant converters that are not band limited in their frequency response. Also, the classical method of power production assessment based on the power matrix was reviewed, analysing the analytical spectrum assumption. The influence of more than one peak spectrum on the power production was found to be large on a sea state by sea state basis (±200%) but also on the Annual Energy Production (±40%).

Suggested Citation

  • de Andrés, A.D. & Guanche, R. & Weber, J. & Costello, R., 2015. "Finding gaps on power production assessment on WECs: Wave definition analysis," Renewable Energy, Elsevier, vol. 83(C), pages 171-187.
    • Handle: RePEc:eee:renene:v:83:y:2015:i:c:p:171-187
    DOI: 10.1016/j.renene.2015.04.026
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    Citations

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    Cited by:

    1. 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).
    2. 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).
    3. Orphin, Jarrah & Nader, Jean-Roch & Penesis, Irene, 2021. "Uncertainty analysis of a WEC model test experiment," Renewable Energy, Elsevier, vol. 168(C), pages 216-233.
    4. Choupin, O. & Têtu, A. & Del Río-Gamero, B. & Ferri, F. & Kofoed, JP., 2022. "Premises for an annual energy production and capacity factor improvement towards a few optimised wave energy converters configurations and resources pairs," Applied Energy, Elsevier, vol. 312(C).
    5. Pasquale Contestabile & Enrico Di Lauro & Mariano Buccino & Diego Vicinanza, 2016. "Economic Assessment of Overtopping BReakwater for Energy Conversion (OBREC): A Case Study in Western Australia," Sustainability, MDPI, vol. 9(1), pages 1-28, December.
    6. Cargo, C.J. & Hillis, A.J. & Plummer, A.R., 2016. "Strategies for active tuning of Wave Energy Converter hydraulic power take-off mechanisms," Renewable Energy, Elsevier, vol. 94(C), pages 32-47.
    7. Robertson, Bryson & Bailey, Helen & Buckham, Bradley, 2019. "Resource assessment parameterization impact on wave energy converter power production and mooring loads," Applied Energy, Elsevier, vol. 244(C), pages 1-15.
    8. 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).
    9. Ophelie Choupin & Michael Henriksen & Amir Etemad-Shahidi & Rodger Tomlinson, 2021. "Breaking-Down and Parameterising Wave Energy Converter Costs Using the CapEx and Similitude Methods," Energies, MDPI, vol. 14(4), pages 1-27, February.
    10. Vincenzo Franzitta & Pietro Catrini & Domenico Curto, 2017. "Wave Energy Assessment along Sicilian Coastline, Based on DEIM Point Absorber," Energies, MDPI, vol. 10(3), pages 1-15, March.
    11. Cuadra, L. & Salcedo-Sanz, S. & Nieto-Borge, J.C. & Alexandre, E. & Rodríguez, G., 2016. "Computational intelligence in wave energy: Comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1223-1246.
    12. Markel Penalba & John V. Ringwood, 2016. "A Review of Wave-to-Wire Models for Wave Energy Converters," Energies, MDPI, vol. 9(7), pages 1-45, June.
    13. Arzaghi, Ehsan & Abaei, Mohammad Mahdi & Abbassi, Rouzbeh & O'Reilly, Malgorzata & Garaniya, Vikram & Penesis, Irene, 2020. "A Markovian approach to power generation capacity assessment of floating wave energy converters," Renewable Energy, Elsevier, vol. 146(C), pages 2736-2743.

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