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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Название публикации
(dc.title)
Determination of Wind Energy Potential and Wind Speed Data in Bishkek, Kyrgyzstan
Автор/ы
(dc.contributor.yazarlar)
İnci Türk Toğrul, Meerim İmaş Kizi
Вид публикации
(dc.type)
Makale
Язык
(dc.language)
İngilizce
Год публикации
(dc.date.issued)
2008
Национальный/Международный
(dc.identifier.ulusaluluslararasi)
Uluslararası
Источник
(dc.relation.journal)
International Journal of Green Energy
Номер
(dc.identifier.issue)
3
Том/№
(dc.identifier.volume)
5
Страница
(dc.identifier.startpage)
157-173
ISSN/ISBN
(dc.identifier.issn)
ISSN: 1543-5075; Online ISSN: 1543-5083
Издатель
(dc.publisher)
Taylor & Francis
Базы данных
(dc.contributor.veritaban)
Web of Science Core Collection
Базы данных
(dc.contributor.veritaban)
Taylor & Francis
Базы данных
(dc.contributor.veritaban)
Scopus
Вид индекса
(dc.identifier.index)
SCI Expanded
Вид индекса
(dc.identifier.index)
Scopus
Импакт-фактор
(dc.identifier.etkifaktoru)
1,171 / 2017-WOS / 5 Year: 1,333
Резюме
(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. -
Резюме
(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
Факультет / Институт
(dc.identifier.fakulte)
Fen Fakültesi
Кафедра
(dc.identifier.bolum)
Uygulamalı Matematik ve Enformatik Bölümü
Автор(ы) в учреждении
(dc.contributor.author)
Meerim İmaş Kızı
№ регистрации
(dc.identifier.kayitno)
BL692AAA24
Дата регистрации
(dc.date.available)
2016-03-18
Заметка (Год публикации)
(dc.identifier.notyayinyili)
June 2008
Wos No
(dc.identifier.wos)
WOS:000257029200003
Тематический рубрикатор
(dc.subject)
weibull distributions
Тематический рубрикатор
(dc.subject)
rayleigh distributions
Тематический рубрикатор
(dc.subject)
wind speed data
Тематический рубрикатор
(dc.subject)
wind energy
Тематический рубрикатор
(dc.subject)
wind power density
Анализы
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