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Modelling approach and predictive assessment of wind energy potential in the Nouakchott region, Mauritania

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Mauritanian government has opted the utilization of renewables sources for power generation to reduce the carbon emissions foot print of the country. Accordingly, wind and wind power characteristics are being investigated in the present work in the northern and southern areas of Nouakchott, Mauritania. The study utilizes the wind speed data measured at 20, 40, and 60 m above the ground level (AGL) over a period of 12 months. The data is collected every 5 s- and 10-minutes averaged values are stored.

The Weibull probability density function is used to study the wind characteristics and its potential for the two selected sites. The results show that the mean annual wind speed and wind power density at the Nouakchott South site are, respectively (6.42 m/s and 185.25 W/m2), (7.06 m/s and 230. 48 W/m2) and (7.72 m/s and 287.8 W/m2) at 20, 40 and 60 m. However, these values are (5.49 m/s and 116.79 W/m2), (6.51 m/s and 174.08 W/m2) and (7.33 m/s and 246.07 W/m2) at respective heights mentioned above at Northern site. Two statistical indicators are used to investigate the efficiency of used method. These indicators are the coefficient of determination (R2) and root mean square error (RMSE) between the measured and estimated wind speed values are found in the range of 0.962–0.981 and 0.014–0.02 respectively. This shows the reliability of the fitted distribution function and the accuracy of the estimation method used. Three wind turbines with rated power 2000 kW are selected to estimate the available wind power at the two sites. The results indicate a good and harness able wind power potential in the Nouakchott Mauritania region.

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Data Availability

Can be provided if requested.



Wind turbine swept rotor area (m2)


Weibull scale parameter (m/s)


Weibull probability density


Cumulative distribution


Weibull shape parameter


Number of observations


Wind power (W, kW, MW)


Wind power density (W/m2 or kW/m2)

R2 :

Coefficient of determination


Root mean square error

xi :

Frequency of Weibull


Frequency of observations

v :

Wind speed (m/s)


height (m)

\(C_{F}\) :

Capacity factor

\({\text{P}}_{{\text{R}}}\) :

 Rated power (kW)

\(\overline{{\text{V}}}\) :

Average wind speed (m/s)

\(D\) :

The rotor diameter (m)

\(E_{{out}}\) :

Energy Production


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The authors acknowledge the Ministry of Energy and Mines in Mauritania for access to their data. The INES- Solar Academy supported by French Future Investments program (ANR-18-EUR-0016) also contributed to the analysis.

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Authors and Affiliations



EMBO: designed the idea in collaboration with the authors, did the simulation, prepared the drawings and wrote the paper; AMY: conceived the idea in collaboration with the authors, did the simulation, prepared the drawings and wrote the paper; SR: edited the paper, participated in the literary section, suggested changes in the manuscript to strengthen the content, helped in all stages of the work; MLS: editing, administrative and management support, consulting, partial writing; AKM and CM contributed to writing and revising the manuscript. All authors read and approved the final manuscript.

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Correspondence to Ahmed Mohamed Yahya.

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Mauritania is moving towards the use of renewable energy because the country has excellent wind potential along its 700 km of coastline, the country enjoys constant sunshine and optimal wind speeds. All possible sources and applications are being explored to support Mauritania's 2050 vision of clean and green energy production. The development of floating solar power plants is one possible way to produce green hydrogen.

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Bououbeid, E.M., Yahya, A.M., Samb, M.L. et al. Modelling approach and predictive assessment of wind energy potential in the Nouakchott region, Mauritania. Model. Earth Syst. Environ. 10, 969–981 (2024).

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