Comparison of Weibull Estimation Methods for Diverse Winds
Wind farm siting relies on in situ measurements and statistical analysis of the wind distribution. The current statistical methods include distribution functions. The one that is known to provide the best fit to the nature of the wind is the Weibull distribution function. It is relatively straightfo...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2020/3638423 |
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| author | Ferhat Bingöl |
| author_facet | Ferhat Bingöl |
| author_sort | Ferhat Bingöl |
| collection | DOAJ |
| description | Wind farm siting relies on in situ measurements and statistical analysis of the wind distribution. The current statistical methods include distribution functions. The one that is known to provide the best fit to the nature of the wind is the Weibull distribution function. It is relatively straightforward to parameterize wind resources with the Weibull function if the distribution fits what the function represents but the estimation process gets complicated if the distribution of the wind is diverse in terms of speed and direction. In this study, data from a 101 m meteorological mast were used to test several estimation methods. The available data display seasonal variations, with low wind speeds in different seasons and effects of a moderately complex surrounding. The results show that the maximum likelihood method is much more successful than industry standard WAsP method when the diverse winds with high percentile of low wind speed occur. |
| format | Article |
| id | doaj-art-84fd4d9717fb45bfb619c38f5812e24e |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-84fd4d9717fb45bfb619c38f5812e24e2025-08-20T03:37:12ZengWileyAdvances in Meteorology1687-93091687-93172020-01-01202010.1155/2020/36384233638423Comparison of Weibull Estimation Methods for Diverse WindsFerhat Bingöl0Izmir Institute of Technology, Department of Energy Systems Engineering, 35430 Urla, Izmir, TurkeyWind farm siting relies on in situ measurements and statistical analysis of the wind distribution. The current statistical methods include distribution functions. The one that is known to provide the best fit to the nature of the wind is the Weibull distribution function. It is relatively straightforward to parameterize wind resources with the Weibull function if the distribution fits what the function represents but the estimation process gets complicated if the distribution of the wind is diverse in terms of speed and direction. In this study, data from a 101 m meteorological mast were used to test several estimation methods. The available data display seasonal variations, with low wind speeds in different seasons and effects of a moderately complex surrounding. The results show that the maximum likelihood method is much more successful than industry standard WAsP method when the diverse winds with high percentile of low wind speed occur.http://dx.doi.org/10.1155/2020/3638423 |
| spellingShingle | Ferhat Bingöl Comparison of Weibull Estimation Methods for Diverse Winds Advances in Meteorology |
| title | Comparison of Weibull Estimation Methods for Diverse Winds |
| title_full | Comparison of Weibull Estimation Methods for Diverse Winds |
| title_fullStr | Comparison of Weibull Estimation Methods for Diverse Winds |
| title_full_unstemmed | Comparison of Weibull Estimation Methods for Diverse Winds |
| title_short | Comparison of Weibull Estimation Methods for Diverse Winds |
| title_sort | comparison of weibull estimation methods for diverse winds |
| url | http://dx.doi.org/10.1155/2020/3638423 |
| work_keys_str_mv | AT ferhatbingol comparisonofweibullestimationmethodsfordiversewinds |