The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria

Fadare, D. A.

doi:10.1016/j.apenergy.2009.09.005

Cited by 223 publications

(83 citation statements)

References 27 publications

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“…For instance, Fadare [20] showed that monthly mean wind speeds measurements covering 1983 to 2003 ranging between 0.9 and 13.1 m/s characterise the nation's wind speed profile against those of earlier measurements. Also, while Ojosu and Salawu [10] reported a wind speed range between 2.16 and 4.84 m/s, and also 2.22 and 3.52 for Potiskum and Maiduguri, respectively, Fagbenle et al [21] reported 3.90 and 5.85 m/s, and 4.35 and 6.33 m/s for the two places, respectively.…”

Section: Opportunities Presented By Previous Studiesmentioning

confidence: 99%

Wind Energy Study and Energy Cost of Wind Electricity Generation in Nigeria: Past and Recent Results and a Case Study for South West Nigeria

et al. 2014

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The study assessed the wind energy potential of ten selected sites in the south western region of Nigeria and carried out a cost benefit analysis of wind power generation at those sites. Twenty four years ' (1987 to 2010) wind speed data at 10 m height obtained from the Nigerian meteorological agency were employed to classify the sites wind profiles for electricity generation. The energy cost analysis of generating wind electricity from the sites was also carried out. The outcome showed that sites in Lagos and Oyo States were adequately suited for large scale generation with average wind speeds ranged between 2.9 and 5.8 m/s. Those from other sites may be suitable for small scale generation or as wind farms, with several small turbines connected together, to generate large enough wind power. The turbine matching results shows that turbines cut-in and rated wind speeds of between 2.0 and 3.0 m/s, and between 10 and 12.0 m/s respectively will be very suited to OPEN ACCESSEnergies 2014, 7 8509 all the sites, particularly those in locations outside Lagos and Oyo States. The energy cost analysis shows that generation cost can be as low as 0.02 €/kWh and as high as 5.03/kWh, depending on the turbine model employed.

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Section: Opportunities Presented By Previous Studiesmentioning

confidence: 99%

Wind Energy Study and Energy Cost of Wind Electricity Generation in Nigeria: Past and Recent Results and a Case Study for South West Nigeria

et al. 2014

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“…He concluded that the wind speed measured at 10 metres is generally low over the Nigerian environment. In 2010, [11] used artificial neural networks to determine the wind speeds pattern in 28 stations in Nigeria and compared the predicted wind speeds with measured data between 1983 and 2003. From his result, he predicted an annual average wind speed of 4.7 ms -1 for the country, while the minimum and maximum monthly average wind speed of 0.8 ms -1 and 13.1 ms -1 were predicted for Ondo and Kano respectively.…”

Section: I) Studies On Wind Speed Across Nigeriamentioning

confidence: 99%

Assessment of wind energy resources in Nigeria – a case study of north-western region of Nigeria

Olomiyesan¹,

Oyedum

Ugwuoke

et al. 2017

IJPR

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This study assesses the wind-energyresources in Nigeria by reviewing the existing literature on the subject matter, and also evaluates the wind potential in six locations in the northwest region of the country. Twenty-two years ' (1984 -2005) wind speed data obtained from the Nigerian Meteorological Agencies (NIMET) were used in this study.Weibull two-parameter and other statistical models were employed in this analysis. Wind speed distribution across Nigeria shows that some locations in the northern part of the country are endowed with higher wind potential than others in the southern part of the country. Moreover, assessment of the wind-energy resources in the study locations reveals that wind energy potential in the region is lowest in Yelwa and highest in Kano; WPD varies from 28.

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“…It is used to provide an optimal framework for the integration of the environmental, economic, and social factors that affect land suitability for a certain use and site selection [10] [11] [12] [13] [14]. Use of Artificial Neural Network has been used for estimation of wind power, wind speed [15] [16] and [17], wind energy [18]. [19] Voivontas et al…”

Section: Spatial Planning For Renewable Energy Resourcesmentioning

confidence: 99%

Mapping Potential Wind Energy Zones in Suez Canal Region, Using Satellite Data and Spatial Multicriteria Decision Models

Effat¹

2017

GEP

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Spatial mapping of potential zones for wind energy is crucial for sustainable regional planning. The Suez Canal Region, Egypt, is currently a focus for national government and international investments for developing the logistic area. The Suez Governorate region is known of its high wind speed along the Gulf of Suez coast. This paper aims at estimating and mapping the potential zones for harnessing wind energy in such region. The method utilizes satellite data and spatial multi-criteria evaluation. Landsat 8 OLI satellite image was used to derive the land-use/land-cover map. Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) was used in modeling the wind power density map using the region's annual average wind speed data. Decision criteria including the climatic conditions, topography, infrastructure and land-cover maps were standardized, weighted and aggregated using weighted linear combination to identify the potential wind energy zones. The results reveal that the highest potential zones for wind energy reach a maximum value of 650 Watt/m 2 and a mean of 310 watt/m 2 and are located in the south-eastern part of the Suez Governorate Region along the Gulf of Suez. Findings indicate a high potential for harnessing wind energy in the region. The resultant maps can be used as guidelines for regional planning and zoning of renewable energy resources.

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The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria

Cited by 223 publications

References 27 publications

Wind Energy Study and Energy Cost of Wind Electricity Generation in Nigeria: Past and Recent Results and a Case Study for South West Nigeria

Wind Energy Study and Energy Cost of Wind Electricity Generation in Nigeria: Past and Recent Results and a Case Study for South West Nigeria

Assessment of wind energy resources in Nigeria – a case study of north-western region of Nigeria

Mapping Potential Wind Energy Zones in Suez Canal Region, Using Satellite Data and Spatial Multicriteria Decision Models

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