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Statistical Analysis of Wave Climate Data Using Mixed Distributions and Extreme Wave Prediction

Author

Listed:
  • Wei Li

    (Division of Electricity, Department of Engineering Sciences, Swedish Centre for Electricity Energy Conversion, Uppsala University, Box 534, Uppsala SE-751 21, Sweden)

  • Jan Isberg

    (Division of Electricity, Department of Engineering Sciences, Swedish Centre for Electricity Energy Conversion, Uppsala University, Box 534, Uppsala SE-751 21, Sweden)

  • Rafael Waters

    (Division of Electricity, Department of Engineering Sciences, Swedish Centre for Electricity Energy Conversion, Uppsala University, Box 534, Uppsala SE-751 21, Sweden)

  • Jens Engström

    (Division of Electricity, Department of Engineering Sciences, Swedish Centre for Electricity Energy Conversion, Uppsala University, Box 534, Uppsala SE-751 21, Sweden)

  • Olle Svensson

    (Division of Electricity, Department of Engineering Sciences, Swedish Centre for Electricity Energy Conversion, Uppsala University, Box 534, Uppsala SE-751 21, Sweden)

  • Mats Leijon

    (Division of Electricity, Department of Engineering Sciences, Swedish Centre for Electricity Energy Conversion, Uppsala University, Box 534, Uppsala SE-751 21, Sweden)

Abstract

The investigation of various aspects of the wave climate at a wave energy test site is essential for the development of reliable and efficient wave energy conversion technology. This paper presents studies of the wave climate based on nine years of wave observations from the 2005–2013 period measured with a wave measurement buoy at the Lysekil wave energy test site located off the west coast of Sweden. A detailed analysis of the wave statistics is investigated to reveal the characteristics of the wave climate at this specific test site. The long-term extreme waves are estimated from applying the Peak over Threshold (POT) method on the measured wave data. The significant wave height and the maximum wave height at the test site for different return periods are also compared. In this study, a new approach using a mixed-distribution model is proposed to describe the long-term behavior of the significant wave height and it shows an impressive goodness of fit to wave data from the test site. The mixed-distribution model is also applied to measured wave data from four other sites and it provides an illustration of the general applicability of the proposed model. The methodologies used in this paper can be applied to general wave climate analysis of wave energy test sites to estimate extreme waves for the survivability assessment of wave energy converters and characterize the long wave climate to forecast the wave energy resource of the test sites and the energy production of the wave energy converters.

Suggested Citation

  • Wei Li & Jan Isberg & Rafael Waters & Jens Engström & Olle Svensson & Mats Leijon, 2016. "Statistical Analysis of Wave Climate Data Using Mixed Distributions and Extreme Wave Prediction," Energies, MDPI, vol. 9(6), pages 1-17, May.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:6:p:396-:d:70768
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    References listed on IDEAS

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    1. Waters, Rafael & Engström, Jens & Isberg, Jan & Leijon, Mats, 2009. "Wave climate off the Swedish west coast," Renewable Energy, Elsevier, vol. 34(6), pages 1600-1606.
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    Cited by:

    1. Yue Hong & Irina Temiz & Jianfei Pan & Mikael Eriksson & Cecilia Boström, 2021. "Damping Studies on PMLG-Based Wave Energy Converter under Oceanic Wave Climates," Energies, MDPI, vol. 14(4), pages 1-21, February.
    2. Andrea Farkas & Nastia Degiuli & Ivana Martić, 2019. "Assessment of Offshore Wave Energy Potential in the Croatian Part of the Adriatic Sea and Comparison with Wind Energy Potential," Energies, MDPI, vol. 12(12), pages 1-20, June.

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