Determination of Wind Energy Potential and Wind Speed Data in Bishkek, Kyrgyzstan

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

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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
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