Determination of wind potential characteristics and techno-economic feasibility analysis of wind turbines for Northwest Africa

Bilal, Boudy; Adjallah, Kondo H.; Yetilmezsoy, Kaan; Bahramian, Majid; Kıyan, Emel

doi:10.1016/j.energy.2020.119558

Cited by 25 publications

(8 citation statements)

References 57 publications

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“…A more in-depth analysis of the adequacy, sustainability, and technical and economic feasibility of wind power systems (especially during low-resource periods) at a local scale would require observational data, preferably with a higher resolution than that of the data used in the current study. In a recently published article, [52] examined wind potential characteristics and carried out a techno-economic feasibility analysis of wind turbines in Mauritania by relying on observational data collected from eight sites. Such detailed studies are obviously required at the end.…”

Section: Discussionmentioning

confidence: 99%

The Impact of Low-Resource Periods on the Reliability of Wind Power Systems for Rural Electrification in Africa

et al. 2021

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Decentralized electricity systems based on variable renewable energy (VRE) sources such as wind power can provide affordable, dependable, and modern energy in a manner consistent with the Paris Agreement. Such sources are, however, sensitive to extreme values of climatic factors—an issue that may jeopardize power system reliability. As a resource-rich region with a high proportion of rural population without access to electricity, Africa has been of wide interest in studies on VRE-based electricity generation. Nevertheless, there is still a major gap in our continent-scale understanding of the wind power potential and its variability at different time scales, as well as the influence of low-wind-resource periods in Africa. Using ERA5 hourly estimates of wind speed, the present study investigated the adequacy and temporal variability of local wind power potential across Africa over the 2000–2017 period. The results indicated that design requirements of wind power systems are, on average, fulfilled in regions in the North, South, and Horn of Africa at different time scales. However, low-resource periods were shown to have a significant impact on the reliability of wind power potential in the majority of the continent. Demand flexibility can reduce the severity of these periods and help to achieve design requirements.

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Section: Discussionmentioning

confidence: 99%

The Impact of Low-Resource Periods on the Reliability of Wind Power Systems for Rural Electrification in Africa

et al. 2021

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“…Despite extensive research in many countries, studies evaluating green hydrogen production in Mauritania remain scarce. While efforts have been made to estimate solar and wind potential, there is a notable gap in assessing green hydrogen production (Bilal et al, 2021(Bilal et al, , 2023El Hacen Jed et al, 2020;IRENA, 2021;Ould Bilal et al, 2008). This study aims to address this gap and provide valuable insights into green hydrogen production in Mauritania.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Green Hydrogen Production Potential From Solar and Wind Energy in Mauritania

SOW,

VALL,

ABIDINE

et al. 2024

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The aim of the present paper is to estimate the green Hydrogen potential from two sources of renewable energies that are solar and wind. This estimation has been done by using satellite data taken from the Global Solar Atlas (GSA) and Global Wind Atlas (GWA). Data were integrated into a Geographical Information System (GIS) to estimate, first the theoretical electricity from solar and wind by using different models. Then we used a third model to estimate the quantity of hydrogen that can be produced from the two different sources mentioned above. As far as we know this is the first attempt to estimate the green hydrogen potential in Mauritania. The results show that the total annual electricity from solar ranged between 275 and 329 GWh/km 2 /year, with the north of the country having the highest potential, especially in the region of Tiris-Zemour and Adrar, in the other hand the south of the country and across the Senegal River line was the regions with the least potential of solar energy. Concerning wind, the values were between 28 and 108 GWh/km 2 /year with the coastline regions localized in the Nouadhibou-Nouakchott axis having the highest potential. The total values of hydrogen production vary between 5428 to 6272 tons/km 2 /year from solar versus 23 to 620 tons/km 2 /year from the wind.

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“…Renewable energies have experienced significant growth for several decades due to their positive impact on the environment [1]. In the most developing countries, electrical energy is largely supplied by power grids and associated power plants that are often inefficient and unreliable due to poor maintenance [2]. One of the economic consequences is the low rate of rural electrification, the high cost per kWh in rural areas and the unavailability of electricity for the income-generating activities.…”

Section: Introductionmentioning

confidence: 99%

“…To address these issues, the use of renewable energy is an important part of the solution. To this end, several works are proposed in the literature in order to exploit the renewable resource: wind and solar power potential assessment [2], sizing of solar panels and wind turbines [3], control and command [4], energy demand forecasting [5] and available energy forecasting. In this work, we are interested in the last category.…”

Section: Introductionmentioning

confidence: 99%

Short-term Multi Horizons Forecasting of Solar Irradiation Based on Artificial Neural Network with Meteorological Data: Application in the North-west of Senegal

Nkounga

Ndiaye

Cisse

et al. 2021

2021 Sixteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)

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This study proposes a short term forecasting of solar irradiation with multi horizons in the north-west of Senegal. The multilayer artificial neural network (ANN), based on the Levenberg Marquardt algorithm and the meteorological data are used. The latter are measured in real time on the study site. The variables of interest are: mean solar irradiation, maximum temperature and measurement time; they are selected using Weka software. The forecasting horizons are: 0.5 hour, 1 hour, 1.5 hours, 2 hours, 2.5 hours, 3 hours, 3.5 hours, 4 hours, 4.5 hours, 5 hours, 5.5 hours and 06 hours. They are proposed with the corresponding statistical criteria. The results show that, the solar energy forecasting can be extended over a six-hour horizon with a correlation coefficient of 0.97 and root mean square error of 0.07. These results will make it possible to complete the forecasting tools in the solar energy sector in Senegal, and help investors to choose the most suitable horizons for energy forecasting in photovoltaic solar power plants.

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Determination of wind potential characteristics and techno-economic feasibility analysis of wind turbines for Northwest Africa

Cited by 25 publications

References 57 publications

The Impact of Low-Resource Periods on the Reliability of Wind Power Systems for Rural Electrification in Africa

The Impact of Low-Resource Periods on the Reliability of Wind Power Systems for Rural Electrification in Africa

Assessment of Green Hydrogen Production Potential From Solar and Wind Energy in Mauritania

Short-term Multi Horizons Forecasting of Solar Irradiation Based on Artificial Neural Network with Meteorological Data: Application in the North-west of Senegal

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