Wind speed is the most important parameter in the design and study of wind energy conversion systems. Probability density functions, such as the Weibull and Rayleigh, are often used in wind speed and wind energy analyses. In this study, statistical methods were used to analyze the wind speed data of Bishkek in the northern region of Kyrgyzstan. Measured daily time series of wind speed data were obtained from the State Meteorological Station in Bishkek, Kyrgyzstan, over a three-year period from 2003 to 2005. The probability density distributions are derived from the time series data and the distributional parameters are identified. Two probability density functions are fitted to the measured probability distributions on a monthly, seasonally, and yearly basis. The wind energy potential of the location is studied based on the Weibull and the Rayleigh models. -
Keywords: Weibull distributions, Rayleigh distributions, Wind speed data, Wind energy, Wind power density
Publication Name (dc.title) | Determination of Wind Energy Potential and Wind Speed Data in Bishkek, Kyrgyzstan |
Author/s (dc.contributor.yazarlar) | İnci Türk Toğrul, Meerim İmaş Kizi |
Publication type (dc.type) | Makale |
Language (dc.language) | İngilizce |
Publication year (dc.date.issued) | 2008 |
National/International (dc.identifier.ulusaluluslararasi) | Uluslararası |
Source (dc.relation.journal) | International Journal of Green Energy |
Number (dc.identifier.issue) | 3 |
Volume/Issue (dc.identifier.volume) | 5 |
Page (dc.identifier.startpage) | 157-173 |
ISSN/ISBN (dc.identifier.issn) | ISSN: 1543-5075; Online ISSN: 1543-5083 |
Publisher (dc.publisher) | Taylor & Francis |
Databases (dc.contributor.veritaban) | Web of Science Core Collection |
Databases (dc.contributor.veritaban) | Taylor & Francis |
Databases (dc.contributor.veritaban) | Scopus |
Index Type (dc.identifier.index) | SCI Expanded |
Index Type (dc.identifier.index) | Scopus |
Impact Factor (dc.identifier.etkifaktoru) | 1,171 / 2017-WOS / 5 Year: 1,333 |
Abstract (dc.description.abstract) | Wind speed is the most important parameter in the design and study of wind energy conversion systems. Probability density functions, such as the Weibull and Rayleigh, are often used in wind speed and wind energy analyses. In this study, statistical methods were used to analyze the wind speed data of Bishkek in the northern region of Kyrgyzstan. Measured daily time series of wind speed data were obtained from the State Meteorological Station in Bishkek, Kyrgyzstan, over a three-year period from 2003 to 2005. The probability density distributions are derived from the time series data and the distributional parameters are identified. Two probability density functions are fitted to the measured probability distributions on a monthly, seasonally, and yearly basis. The wind energy potential of the location is studied based on the Weibull and the Rayleigh models. - |
Abstract (dc.description.abstract) | Keywords: Weibull distributions, Rayleigh distributions, Wind speed data, Wind energy, Wind power density |
URL (dc.rights) | http://www.tandfonline.com/doi/full/10.1080/15435070802106977 |
DOI (dc.identifier.doi) | 10.1080/15435070802106977 |
Faculty / Institute (dc.identifier.fakulte) | Fen Fakültesi |
Department (dc.identifier.bolum) | Uygulamalı Matematik ve Enformatik Bölümü |
Author(s) in the Institution (dc.contributor.author) | Meerim İmaş Kızı |
Kayıt No (dc.identifier.kayitno) | BL692AAA24 |
Record Add Date (dc.date.available) | 2016-03-18 |
Notes (Publication year) (dc.identifier.notyayinyili) | June 2008 |
Wos No (dc.identifier.wos) | WOS:000257029200003 |
Subject Headings (dc.subject) | weibull distributions |
Subject Headings (dc.subject) | rayleigh distributions |
Subject Headings (dc.subject) | wind speed data |
Subject Headings (dc.subject) | wind energy |
Subject Headings (dc.subject) | wind power density |