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A methodology for equitable performance assessment and presentation of wave energy converters based on sea trials

Author

Listed:
  • Kofoed, J.P.
  • Pecher, A.
  • Margheritini, L.
  • Antonishen, M.
  • Bittencourt, C.
  • Holmes, B.
  • Retzler, C.
  • Berthelsen, K.
  • Le Crom, I.
  • Neumann, F.
  • Johnstone, C.
  • McCombes, T.
  • Myers, L.E.

Abstract

A general and widely applicable methodology to assess and present the performance of wave energy converters (WEC) based on sea trials is presented. It is meant to encourage WEC developers to present the performance of their WEC prototypes, on a transparent and equitable way while taking care of possible discrepancy in the observed performance of the WEC. Due to the harsh uncontrollable conditions of the sea that is encountered by WECs during sea trials, some of the performance of the WECs might be sub optimal and the data sets not fully complete. The methodology enables to filter the data by applying a selection criterion on the performance data that was obtained for a certain range of wave conditions. This selection criteria result in a subset of performance data representing the performance of the WEC for specific wave conditions, from which an average value an appreciation of the related uncertainty can be derived. This can lead to the estimation of the annual energy output of the WEC at its test location, while it also provides a method to estimate its annual energy output for another location of interest and possibly also at another scaling ratio. The same methodology can also be used to perform parametric studies with environmental or device dependent parameters and to analyse the power conversion chain from wave to wire, which both could lead to an enhanced understanding of the performance and behaviour of the WEC.

Suggested Citation

  • Kofoed, J.P. & Pecher, A. & Margheritini, L. & Antonishen, M. & Bittencourt, C. & Holmes, B. & Retzler, C. & Berthelsen, K. & Le Crom, I. & Neumann, F. & Johnstone, C. & McCombes, T. & Myers, L.E., 2013. "A methodology for equitable performance assessment and presentation of wave energy converters based on sea trials," Renewable Energy, Elsevier, vol. 52(C), pages 99-110.
  • Handle: RePEc:eee:renene:v:52:y:2013:i:c:p:99-110
    DOI: 10.1016/j.renene.2012.10.040
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    Citations

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    Cited by:

    1. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2014. "Wave energy conditions in the western French coast," Renewable Energy, Elsevier, vol. 62(C), pages 155-163.
    2. 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.
    3. Ilyas, Arqam & Kashif, Syed A.R. & Saqib, Muhammad A. & Asad, Muhammad M., 2014. "Wave electrical energy systems: Implementation, challenges and environmental issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 260-268.
    4. Dalton, Gordon & Allan, Grant & Beaumont, Nicola & Georgakaki, Aliki & Hacking, Nick & Hooper, Tara & Kerr, Sandy & O’Hagan, Anne Marie & Reilly, Kieran & Ricci, Pierpaolo & Sheng, Wanan & Stallard, T, 2015. "Economic and socio-economic assessment methods for ocean renewable energy: Public and private perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 850-878.
    5. Majidi, Ajab Gul & Ramos, Victor & Amarouche, Khalid & Rosa Santos, Paulo & das Neves, Luciana & Taveira-Pinto, Francisco, 2023. "Assessing the impact of wave model calibration in the uncertainty of wave energy estimation," Renewable Energy, Elsevier, vol. 212(C), pages 415-429.
    6. Satyabrata Saha & Mrinmoy Majumder & Manish Pal, 2021. "Identification of the probability of the park effect in a wave-to-power system using the analytical hierarchical process and a polynomial neural network model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17403-17422, December.
    7. Yaakob, Omar & Hashim, Farah Ellyza & Mohd Omar, Kamaludin & Md Din, Ami Hassan & Koh, Kho King, 2016. "Satellite-based wave data and wave energy resource assessment for South China Sea," Renewable Energy, Elsevier, vol. 88(C), pages 359-371.

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