Modelling and Evaluation of Wind Speed Time Series for Reliability Analysis of Offshore Wind Farms
Smith, C.J.; Crabtree, C.J.; Matthews, P.C.; Kazemtabrizi, B.
Professor Christopher Crabtree firstname.lastname@example.org
Dr Peter Matthews email@example.com
Dr Behzad Kazemtabrizi firstname.lastname@example.org
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.
Smith, C., Crabtree, C., Matthews, P., & Kazemtabrizi, B. (2014). Modelling and Evaluation of Wind Speed Time Series for Reliability Analysis of Offshore Wind Farms.
|Conference Name||10th PhD Seminar on Wind Energy in Europe, EAWE.|
|Conference Location||Orléans, France|
|Acceptance Date||Nov 30, 2014|
|Publication Date||Oct 1, 2014|
|Deposit Date||Dec 19, 2014|
|Publicly Available Date||Aug 16, 2016|
Accepted Conference Proceeding
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