A review of Weibull functions in wind sector
Authors:
- Piotr Wais
Abstract
The accurate assessment of the potential wind energy at a define site is very important from economic point of view, measures cost effectiveness of the project and helps estimating future incomes, revenues. Knowledge of wind characteristics also facilitates a proper turbine design selection. There are different techniques for wind energy evaluation. The direct wind speed measurement is the most accurate method to determine wind conditions, but often the different wind speed frequency distributions are proposed. One of the most widely used distribution is Weibull distribution. The two-parameter Weibull distribution is recognized as an appropriate model and the most widely used in the wind industry sector. In some cases, in which the probability of null wind is significant, the Weibull distribution does not reveal good conformity for the low wind speed. In theory, it seems that the three-parameter Weibull distribution, which takes into account the frequency of null winds, may better represent wind ranges with high percentages of null wind speeds and may give better results. In the paper, the review of the literature is carried out on the application of two and three-parameter Weibull distribution in wind energy analyses and also focuses on the comparison of results received from different probability density functions, used in cited papers, with the frequency of 0-2 m/s wind speed range in real data. For higher percentages of null wind speeds or the wind speed below 2 m/s, the three-parameter Weibull model should have the advantage in relation to two-parameter Weibull distribution, gives more appropriate results and can be proposed as an alternative to wind energy estimation technique.
- Record ID
- CUTd7b1f48b52a740ab8c6f1dc4e7af8099
- Publication categories
- ;
- Author
- Journal series
- Renewable & Sustainable Energy Reviews, ISSN 1364-0321
- Issue year
- 2017
- Vol
- 70
- Pages
- 1099-1107
- Other elements of collation
- tab.; wykr.; Bibliografia (na s.) - 1107; Bibliografia (liczba pozycji) - 34; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 70
- Keywords in English
- wind energy, two-parameter Weibull distribution, three-parameter Weibull distribution, available wind power, null wind speed, frequency of wind speed
- DOI
- DOI:10.1016/j.rser.2016.12.014 Opening in a new tab
- URL
- http://www.sciencedirect.com/science/article/pii/S1364032116310565 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 45
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTd7b1f48b52a740ab8c6f1dc4e7af8099/
- URN
urn:pkr-prod:CUTd7b1f48b52a740ab8c6f1dc4e7af8099
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.