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Durham Research Online
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Modelling and evaluation of wind speed time series for reliability analysis of offshore wind farms.

Smith, C.J. and Crabtree, C.J. and Matthews, P.C. and Kazemtabrizi, B. (2014) 'Modelling and evaluation of wind speed time series for reliability analysis of offshore wind farms.', 10th PhD Seminar on Wind Energy in Europe, EAWE. Orléans, France, 2831 October 2014.

Abstract

This paper outlines proposed testing criteria for wind speed time series (WSTS) models. The objective is to assess their suitability for reliability analysis that is dependent on an accurate representation of weather patterns. Two WSTS models were analysed for their suitability against these criteria. The Markov model was found to be suitable for resource assessment, but would require modification before it could represent weather patterns, whilst the random sampling model could represent weather patterns more accurately, but could not be used for resource assessment.

Item Type:Conference item (Paper)
Full text:(AM) Accepted Manuscript
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Status:Not peer-reviewed
Publisher Web site:https://eawephd2015.sciencesconf.org/
Date accepted:30 November 2014
Date deposited:16 August 2016
Date of first online publication:October 2014
Date first made open access:No date available

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