Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Evaluation of synthetic wind speed time series for reliability analysis of offshore wind farms.

Smith, C.J. and Crabtree, C.J. and Matthews, P.C. (2015) 'Evaluation of synthetic wind speed time series for reliability analysis of offshore wind farms.', EWEA 2015 Paris, France, 17-20 November 2015.

Abstract

A method for synthesising wind speed time series (WSTS) from limited data is required that can be used for reliability examination of wind farms and maintenance strategies for a range of wind speed scenarios. Key characteristics of the wind resource need to be captured, including energy availability and maintenance weather windows. 4 WSTS simulators were used to produce synthetic WSTS based on benchmark data from a meteorological mast data at the offshore Egmond aan Zee wind farm in the Netherlands. These synthetic WSTS were compared with test criteria to determine their suitability for reliability analysis. This included comparing the synthetic WSTS to the benchmark data in terms of the energy availability in the wind and from a typical turbine, residence time at wind speeds, number of transitions between 1m/s wind speed bins, replication of seasonal characteristics including weather windows, and underlying statistical properties. Based on the chosen criteria, the most appropriate WSTS simulator was the modified Markov process. However, no modelling technique performed best against all criteria and none capture the autocorrelation function (ACF) as closely as desired. Therefore, there is scope for a more advanced technique for wind speed modelling for reliability analysis which combines the best aspects of the models used in this work.

Item Type:Conference item (Paper)
Keywords:Wind speed time series, reliability analysis, weather windows, evaluation criteria.
Full text:(AM) Accepted Manuscript
Download PDF
(820Kb)
Status:Peer-reviewed
Publisher Web site:http://www.ewea.org/annual2015/conference/programme/info2.php?id2=975&id=37%20&ordre=2#top
Date accepted:12 October 2015
Date deposited:12 November 2015
Date of first online publication:2015
Date first made open access:No date available

Save or Share this output

Export:
Export
Look up in GoogleScholar