An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran

Keyhani, Alireza; Ghasemi-Varnamkhasti, Mahdi; Khanali, Majid; Abbaszadeh, Rouzbeh

doi:10.1016/j.energy.2009.09.009

Cited by 333 publications

(209 citation statements)

References 45 publications

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“…A typical value used in all the literature consulted is average air density 1.225 kg/m 3 corresponding to standard conditions (sea level, 15˚C) [29]. However, air density is function of temperature T & Pressure P, both of which vary with altitude above z.…”

Section: Wind Power Density (Wpd)mentioning

confidence: 99%

A Statistical Analysis of Wind Speed and Power Density Based on Weibull and Rayleigh Models of Jumla, Nepal

Parajuli¹

2016

EPE

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Section: Wind Power Density (Wpd)mentioning

confidence: 99%

A Statistical Analysis of Wind Speed and Power Density Based on Weibull and Rayleigh Models of Jumla, Nepal

Parajuli¹

2016

EPE

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“…13,25 The most probable wind speed (V mp ) which represents the most frequent wind speed and wind speed carrying maximum energy (V max,E ) are two significant wind speeds for wind energy estimation. 1,26,27 These statistical characteristics are not directly connected to wind energy, but the efficiency of a wind turbine conversion system is closely related to these parameters and especially V max,E , which should be as close as possible to the rated wind speed of the system.…”

Section: Introductionmentioning

confidence: 99%

Wind power potential assessment for seven buoys data collection stations in Aegean Sea using Weibull distribution function

Bagiorgas

Mihalakakou

Rehman

et al. 2012

Journal of Renewable and Sustainable Energy

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This paper utilizes three hourly measured values of wind speed and direction from seven buoys data collection stations in Aegean Sea to study the wind speed and power characteristics applying the Weibull shape and scale parameters. Specifically, the site dependent, annual and monthly mean patterns of mean wind speed, Weibull parameters, frequency distribution, most probable wind speed, maximum energy carrying wind speed, wind power density and wind energy density characteristics have been studied. The Weibull distribution was found to represent the wind speed distribution with more than 90% accuracy in most of the cases. Slightly decreasing trends were observed in annual mean wind speed values at Lesvos and increasing at Mykonos. The mean values of wind speed, scale parameter, most probable wind speed, maximum energy carrying wind speed, wind power and wind energy density values showed higher values during winter time and lower in summer time. Mykonos was found to be the best site from wind power harnessing point of view. Moreover, the correlation between the percentages of times the wind speed was above cut-in-speed and the measured mean wind speed for the three selected sites and the correlation between the aforementioned percentages and the scale parameter c were examined and were found linear.

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“…For a given time (T), as given in the equation (1) above, density of wind energy can be estimated by using a given wind power density [22]. For any period, wind energy available can be calculated as below [23]:…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Vmp is the most frequent wind speed for a specific wind probability distribution and easily obtained from Weibull distribution function's scale and shape parameters as below [22], [23]:…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Güney Batı Karadeniz Kıyıları Boyunca Rüzgar Güç Potansiyelinin Değerlendirilmesi

Akpınar

2016

SAUFenBilDer

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Information about wind characteristic together with the analysis of its potential are a key step when it comes to planning and performance estimation of wind energy projects. In the current study, hence, a statistical analysis on wind energy potential and wind characteristics over the coasts of the South Western Black sea is carried out. The aim is to determine fields where wind force is strong and consistent for energy production along south western coasts of the Black Sea. For this purpose, seven meteorological stations (Kumköy, Şile, Akçakoca, Zonguldak, Amasra, Cide, İnebolu) from west to east are selected, and 10 year wind data acquired from TSMS (Turkish Meteorological Service) measured hourly at a height of 10 m were used. Annual, seasonal, monthly and diurnal average wind speed and power density variations are evaluated at all stations, after which conclusions on dominant wind directions and frequency distributions at all sites are made. Based on overall results, Amasra and İnebolu indicated the highest potential of wind power among the other sites with Amasra having about 159 W/m 2 maximum yearly average wind power density and about 1392 kWh/m 2 /year maximum yearly average energy density.Keywords: wind speeds, wind power potential, the south western Black Sea coasts Güney Batı Karadeniz kıyıları boyunca rüzgar güç potansiyelinin değerlendirilmesi ÖZ Bir bölgenin rüzgar karakteristiğinin belirlenmesi ve onun potansiyelinin farklı açılardan analizi, rüzgar enerji projelerinin planlanması ve performans tahminlerinin yapılabilmesi için gerekli olan en önemli adımdır. Bu çalışmada, Karadeniz'in güney batı kıyılarının rüzgar karakteristiğinin ve rüzgar enerji potansiyelinin detaylı istatistiksel analizi gerçekleştirilmiştir. Çalışmadaki hedef, Karadeniz'in Türkiye kıyıları boyunca enerji üretimi için rüzgar gücü yüksek olan uygun alanları belirlemektir. Bu hedef için, bahsedilen kıyı şeridinde rüzgar ölçümlerinin gerçekleştirildiği 7 meteorolojik istasyon seçilmiş ve istatistiksel analiz için Türkiye Meteoroloji Genel Müdürlüğü tarafından arşivlenmiş 10 metre yükseklikteki saatlik rüzgar verisi (hızı ve yönü) 10 yıllık süre boyunca temin edilmiştir. Bütün istasyonlarda hakim rüzgar yönleri ve frekans dağılımları belirlendikten sonra yıllık, mevsimlik, aylık ve günlük ortalama rüzgar hız ve güç yoğunluk değişimleri de irdelenmiştir. Bütün sonuçlara dayanarak, Amasra ve İnebolu lokasyonlarının diğer alanlara kıyasla en yüksek rüzgar güç potansiyeline sahip oldukları, Amasra'nın yaklaşık 159 W/m 2 maksimum yıllık ortalama rüzgar güç yoğunluğuna ve yaklaşık 1392 kWh/m 2

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An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran

Cited by 333 publications

References 45 publications

A Statistical Analysis of Wind Speed and Power Density Based on Weibull and Rayleigh Models of Jumla, Nepal

A Statistical Analysis of Wind Speed and Power Density Based on Weibull and Rayleigh Models of Jumla, Nepal

Wind power potential assessment for seven buoys data collection stations in Aegean Sea using Weibull distribution function

Güney Batı Karadeniz Kıyıları Boyunca Rüzgar Güç Potansiyelinin Değerlendirilmesi

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