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.

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.

Authors

C.J. Smith

Professor Christopher Crabtree c.j.crabtree@durham.ac.uk
Professor

Dr Peter Matthews p.c.matthews@durham.ac.uk
Associate Professor

Dr Behzad Kazemtabrizi behzad.kazemtabrizi@durham.ac.uk
Associate Professor

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.

Citation

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
Pages	159-162
Publisher URL	https://eawephd2015.sciencesconf.org/