Assessment of wind energy potential of two sites in North-East, Nigeria

Fagbenle, R. O.; Katende, James; Ajayi, Oluseyi O.; Okeniyi, Joshua Olusegun

doi:10.1016/j.renene.2010.10.003

Cited by 123 publications

(75 citation statements)

References 9 publications

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“…Some of them include normal, lognormal, Rayleigh and Weibull probability distributions [17,18]. It has been found that among probability distribution functions used by many researchers, the Weibull distribution is most accurate and adequate in wind analyzing and interpreting the actual wind speed data and in predicting the characteristics of prevailing wind profile [17,19] .…”

Section: The Three Parameter Weibull Distribution Model Of Wind Powermentioning

confidence: 99%

Probabilistic model of Wind Power Ramp Events Based On Moving Ratio Analysis

Liu¹,

Wang²

2016

Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)

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Abstract. Description of probability distribution characteristics of wind power ramp events is always a challenge in grid-connected wind power operation analysis. In this paper, a moving ratio based approach of wind power ramp events is introduced and an probability model is described for the wind ramp events. The proposed model is useful to estimate the relationship between power ramp events and the variability of the wind power. The proposed model is able to satisfactorily approximate the actual distribution of wind power ramp events . It is shown that the linear difference based ramp distribution can be calculated using the proposed moving ratio based approach. The proposed model can be an effective tool in planning for wind power ramp control.

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Section: The Three Parameter Weibull Distribution Model Of Wind Powermentioning

confidence: 99%

Probabilistic model of Wind Power Ramp Events Based On Moving Ratio Analysis

Liu¹,

Wang²

2016

Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)

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“…Although the degree of concern differs in developed and undeveloped countries, energy provision is still a big issue globally. To meet demand of the growing world population, efforts have to be put in place to find new ways of energy generation [1]. Fossil fuels, including natural gas, coal, oil and tar are now the basic energy sources worldwide.…”

Section: Introductionmentioning

confidence: 99%

“…With an increase in pollution, fossil fuels are also extremely harmful to the environment [2]. The sustainability of these energy resources is questionable since they are finite in nature [1]. Proper management of the available resources, reasonable consumption of energy, and development of alternative energy sources is therefore important to meet demands, reduce air pollution and cut global warming [3].…”

Section: Introductionmentioning

confidence: 99%

“…Their main point of focus is the characteristic of wind speed together with its capability to produce enough power for various uses in a lot of countries [1][2][3][4][5][6][7], [11][12][13][14][15][16][17][18][19]. A study done by Mirhosseini et al [18] is a good example in which they carried out an evaluation and determination of good locations to establish wind farms.…”

Section: Introductionmentioning

confidence: 99%

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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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“…This focus on mapping out the wind energy potential is an addition to a long list of studies that have either focused on the average wind speed and density or the cost of harnessing each kWh. A series of research from Europe [1][2][3][4][5][6], around the Middle East , Africa [30][31][32][33][34][35][36][37][38][39] and the Far East [40][41][42][43][44][45][46][47][48] has looked at wind resources to identify energy potential. These have both site-specific [4][5][6][7][8][9][10][11][12][14][15][16][17][18][19]21,25,27,29,[31][32][33][34]…”

Section: Introductionmentioning

confidence: 99%

Levelized Cost of Energy Analysis of a Wind Power Generation System at Búrfell in Iceland

et al. 2015

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Wind energy harnessing is a new energy production alternative in Iceland. Current installed wind power in Iceland sums to 1.8 MW, which in contrast is 0.1% of the country's total electricity production. This article is dedicated to the exploration of the potential cost of wind energy production at Búrfell in the south of Iceland. A levelized cost of energy (LCOE) approach was applied to the estimation of the potential cost. Weibull simulation is used to simulate wind data for calculations. A confirmation of the power law is done by comparing real data to calculated values. A modified Weibull simulation is verified by comparing results with actual on-site test wind turbines. A wind farm of 99 MW is suggested for the site. Key results were the capacity factor (CF) at Búrfell being 38.15% on average and that the LCOE for wind energy was estimated as 0.087-0.088 USD/kWh (assuming 10% weighted average cost of capital (WACC)), which classifies Búrfell among the lowest LCOE sites for wind energy in Europe.

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Assessment of wind energy potential of two sites in North-East, Nigeria

Cited by 123 publications

References 9 publications

Probabilistic model of Wind Power Ramp Events Based On Moving Ratio Analysis

Probabilistic model of Wind Power Ramp Events Based On Moving Ratio Analysis

Güney Batı Karadeniz Kıyıları Boyunca Rüzgar Güç Potansiyelinin Değerlendirilmesi

Levelized Cost of Energy Analysis of a Wind Power Generation System at Búrfell in Iceland

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