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Statistical Analysis of Wave Climate Data Using Mixed Distributions and Extreme Wave Prediction
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
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2016 (English)In: Energies, ISSN 1996-1073, E-ISSN 1996-1073, Vol. 9, no 6, 396Article in journal (Refereed) Published
Resource type
Text
Abstract [en]

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.

Place, publisher, year, edition, pages
2016. Vol. 9, no 6, 396
Keyword [en]
wave climate, wave energy converter, ocean wave modelling, mixed-distribution model, extreme wave
National Category
Ocean and River Engineering
Identifiers
URN: urn:nbn:se:uu:diva-300069DOI: 10.3390/en9060396ISI: 000378854400009OAI: oai:DiVA.org:uu-300069DiVA: diva2:950748
Funder
StandUpSwedish Energy Agency
Available from: 2016-08-02 Created: 2016-08-02 Last updated: 2017-11-28Bibliographically approved
In thesis
1. Numerical Modelling and Statistical Analysis of Ocean Wave Energy Converters and Wave Climates
Open this publication in new window or tab >>Numerical Modelling and Statistical Analysis of Ocean Wave Energy Converters and Wave Climates
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Ocean wave energy is considered to be one of the important potential renewable energy resources for sustainable development. Various wave energy converter technologies have been proposed to harvest the energy from ocean waves. This thesis is based on the linear generator wave energy converter developed at Uppsala University. The research in this thesis focuses on the foundation optimization and the power absorption optimization of the wave energy converters and on the wave climate modelling at the Lysekil wave converter test site.

The foundation optimization study of the gravity-based foundation of the linear wave energy converter is based on statistical analysis of wave climate data measured at the Lysekil test site. The 25 years return extreme significant wave height and its associated mean zero-crossing period are chosen as the maximum wave for the maximum heave and surge forces evaluation.

The power absorption optimization study on the linear generator wave energy converter is based on the wave climate at the Lysekil test site. A frequency-domain simplified numerical model is used with the power take-off damping coefficient chosen as the control parameter for optimizing the power absorption. The results show a large improvement with an optimized power take-off damping coefficient adjusted to the characteristics of the wave climate at the test site.

The wave climate modelling studies are based on the wave climate data measured at the Lysekil test site. A new mixed distribution method is proposed for modelling the significant wave height. This method gives impressive goodness of fit with the measured wave data. A copula method is applied to the bivariate joint distribution of the significant wave height and the wave period. The results show an excellent goodness of fit for the Gumbel model. The general applicability of the proposed mixed-distribution method and the copula method are illustrated with wave climate data from four other sites. The results confirm the good performance of the mixed-distribution and the Gumbel copula model for the modelling of significant wave height and bivariate wave climate.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2016. 58 p.
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1447
Keyword
Wave power, Wave energy converter, Gravity-based foundation, Power absorption, Wave spectrum, Linear generator, Frequency domain, Wave climate, Ocean wave modelling, Mixed-distribution model, Bivariate distribution, Archimedean copula
National Category
Engineering and Technology
Identifiers
urn:nbn:se:uu:diva-305870 (URN)978-91-554-9738-5 (ISBN)
Public defence
2016-12-12, Ångstrom 10132, Ångströmlaboratoriet, Lägerhyddsvägen 1, Uppsala, 13:15 (English)
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Available from: 2016-11-18 Created: 2016-10-24 Last updated: 2016-11-28

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Li, WeiIsberg, JanWaters, RafaelEngström, JensSvensson, OlleLeijon, Mats

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