C.J. Smith
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
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. |
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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/ |
Files
Accepted Conference Proceeding
(840 Kb)
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