Determination of Wind Potential in some Regions of Algeria

Document Type: Research Note

Authors

1 Unit of Research on Materials and Renewable Energies, Department of Physics, Faculty of Sciences, Abou Bekr Belkaid University, P.O. Box 119, 13000, Tlemcen, Algeria

2 Department of Technology, University Centre of Naama - Salhi Ahmed, P.O. Box 66, Naama 45000, Algeria

Abstract

This paper aims to determine the wind potential in two regions of Algeria according to months, seasons, and entire years. An attempt is made to participate to the update of the wind map in this country, by using the collected hourly data during a period of more than thirty years. The Weibull function is employed to perform the wind data analysis. Two regions are considered: Ilizi and Oran, which are located in the southeast and northwest of Algeria, respectively. The values of the Weibull parameters, average power density, and mean velocity are employed to achieve the statistical analysis. At the height of 10 m from the ground, the obtained results revealed that the highest annual average rate of 6.5 m/s occurred at the city of 'Illizi'. It was also found that the city of 'Es-senia' has a middle potential of wind with an annual mean velocity of 3.5m/s. Furthermore, it was observed that the spring season is the most windy season for both regions.

Keywords


1.    Hocine, G., Fatiha, L., Zohra, G. F, & Tayeb, A., 2019, The Interest of the Wind Farm of Adrar to the Southwest Network of Algeria , Iranian (Iranica) Journal of Energy and Environment, 10(3): 2079–2115. https://doi.org/10.5829/ijee.2019.10.03.01
2.    Abid, M., Karimov, K. S., & Wajid, H. A., 2014, Numerical and Experimental Analysis of a Spiral Horizontal Axis Wind Turbine, Iranian (Iranica) Journal of Energy and Environment, 5(1): 13–17. https://doi.org/10.5829/idosi.ijee.2014.5.1.3
3.    Nemati, A., 2020, Three-dimensional Numerical Study of the Performance of a Small Combined Savonius-Darrieus Vertical Wind Turbine, Iranian (Iranica) Journal of Energy and Environment, 11(2): 2079–2115. https://doi.org/10.5829/ijee.2020.11.02.11
4.    Chellali, F., Khellaf, A., Belouchrani, A., & Recioui, A., 2011, February 1, A contribution in the actualization of wind map of Algeria, Renewable and Sustainable Energy Reviews. 15(2): 993–1002. https://doi.org/10.1016/j.rser.2010.11.025
5.    Himri, Y., Himri, S., & Boudghene Stambouli, A., 2009, October 1, Assessing the wind energy potential projects in Algeria, Renewable and Sustainable Energy Reviews. 13(8): 2187-2191. https://doi.org/10.1016/j.rser.2009.03.003
6.    Boudia, S. M., Berrached, S., & Bouri, S., 2016, On the Use of Wind Energy at Tlemcen, North-Western Region of Algeria, Energy Procedia, 93: 141–145. https://doi.org/10.1016/j.egypro.2016.07.162
7.    Benmedjahed, M., Ghellai, N., Benmansour, A., Boudai, S. M., & Tabet Hellal, M. A., 2014, Assessment of wind energy and energy cost in Algeria, International Journal of Renewable Energy, 9(1): 31–40. Retrieved from https://ph01.tci-thaijo.org/index.php/RAST/article/view/26347
8.    Wikipedia, [online], https://fr.wikipedia.org/wiki/Illizi
9.    National Climatic Data Center, [online] http://www.ncdc.noaa.gov
10. Boroumandjazi, G., Rismanchi, B., & Saidur, R., 2013, Technical characteristic analysis of wind energy conversion systems for sustainable development, Energy Conversion and Management, 69: 87–94. https://doi.org/10.1016/j.enconman.2013.01.030
11. Andrade, C. F. De, Maia Neto, H. F., Costa Rocha, P. A., & Vieira Da Silva, M. E., 2014, An efficiency comparison of numerical methods for determining Weibull parameters for wind energy applications: A new approach applied to the northeast region of Brazil, Energy Conversion and Management, 86: 801–808. https://doi.org/10.1016/j.enconman.2014.06.046
12. Seguro, J. V., & Lambert, T. W., 2000, Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis, Journal of Wind Engineering and Industrial Aerodynamics, 85(1): 75–84. https://doi.org/10.1016/S0167-6105(99)00122-1
13. Jamil, M., Parsa, S., & Majidi, M., 1995, Wind power statistics and an evaluation of wind energy density, Renewable Energy, 6(5–6): 623–628. https://doi.org/10.1016/0960-1481(95)00041-H
14. Li, M., & Li, X., 2005, MEP-type distribution function: A better alternative to Weibull function for wind speed distributions, Renewable Energy, 30(8): 1221–1240. https://doi.org/10.1016/j.renene.2004.10.003