Analysis of wind speed data and wind energy potential using Weibull distribution in Zagora, Morocco

*Daoudi Mohammed  -  Department of physics, Faculty of Sciences and Technologies, University Hassan 1st, Settat, Morocco
Ait Sidi Mou Abdelaziz  -  Department of Chemistry, Faculty of Sciences and Technologies, University Hassan 2nd, Mohammedia, Morocco
Elkhomri Mohammed  -  Department of chemistry, Faculty of Sciences, University Ibn Zohr, Agadir, Morocco
Elkhouzai Elmostapha  -  Department of Physics, Faculty of Sciences and Technologies, University Hassan 1st, Settat, Morocco
Received: 6 May 2019; Revised: 5 Oct 2019; Accepted: 15 Oct 2019; Published: 27 Oct 2019; Available online: 30 Oct 2019.
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Abstract
This paper presents the wind energy potential at 10 m during a period of 09 years (2009-2017) in the province of Zagora using the Weibull distribution method. Extrapolation of the 10 m data, using the power Law, has been used to determine the wind data at heights of 30 m; 50 m and 70 m. The objective is to evaluate the most important characteristics of wind energy in the studied site . The statistical attitudes permit us to estimate the mean wind speed, the wind speed distribution function and the mean wind power density in the site at the height of 30 m; 50 m and 70 m. From the primary evaluation indicate that the annual energy output and capacity factor increases with increasing the wind speed, it can obtain about 2.62 GWh/year, that is acceptable quantity for the wind energy. ©2019. CBIORE-IJRED. All rights reserved
Keywords: Wind speed; Weibull distribution; Wind turbine; Power density; Zagora

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Section: Original Research Article
Language: EN
In Vol 8, No 3 (2019): October 2019
Statistics: 1482 537
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  1. Abbasi, S.A. and Abbadsi, T. (2016) Impact of wind-energy generation on climate: a rising spectre, Renew. Sustain. Energy Rev, 59, 1591–1598
  2. Afilal, ME., Belkhadir, N. and Merzak Z. (2013) Biogas production from anaerobic digestion of manure waste: Moroccan case. Glob J Sci Front Res, 13:1
  3. Ahmed Shata, A.S. and Hanitsch, R. (2008) Electricity generation and wind potential assessment at Hurghada, Egypt, Renew. Eng, 33(11), 141–148
  4. Akpinar, EK. and Akpinar, S. (2004) Statistical analysis of wind energy potential on the basis of the Weibull and Rayleigh distributions for Agin-Elazig, Turkey. Proc Inst Mech Eng Part A J Power Ener, 218(A8), 557–65
  5. Allouhi, A., Zamzoum, O., Islam, M.R., Saidur, R., Kousksou, T., Jamil, A. and Derouich, A. (2017) Evaluation of wind energy potential in Morocco's coastal regions, Renew. Sustain. Energy Rev, 72, 311–324
  6. Altunkaynak, A., Erdik, T., Dabanli, I. and Zekai, S. (2012) Theoretical derivation of wind power probability distribution function and applications. Appl Energy, 92, 809–14
  7. Analysis of Wind Energy in the EU-25 (PDF). European Wind Energy Association. Retrieved 11 March 2007
  8. Ayodele, T.R., Ogunjuyigbe, A.S.O. and Amusan, T.O. (2016) Wind power utilization assessment and economic analysis of wind turbines across fifteen locations in the six geographical zones of Nigeria, J. Clean. Prod, 129, 341–349
  9. Baseer, M.A., Meyer, J.P., Alam, Md. M. and Rehman, S. (2015) Wind speed and power characteristics for Jubail industrial city, Saudi Arabia, Renew. Sustain. Energy Rev, 52, 1193–1204
  10. Bilir, L., Imir, M., Devrim, Y. and Albostan, A. (2015) An investigation on wind energy potential and small scale wind turbine performance at _Incek region – Ankara, Turkey, Eng. Convers. Manag, 103, 910–923
  11. Chandel, S. S., Ramasamy, P. and Murthy, K. S. R. (2014) Wind power potential assessment of 12 locations in western Himalayan region of India. Renew. Sustain. Energy Rev., 39, 530-545
  12. Conradsen, K., Nielsen, L.B. and Prahm, L.P. (1984) Review of Weibull statistics for estimation of wind speed distributions, J. Clim. Appl. Meteorol, 23, 1173e1183
  13. Data and Statistics - IRENA Resource. http://www.irena.org. Retrieved 8 April 2019
  14. Doukkali, M. (2005) Water institutional reforms in Morocco. Water Policy, 7(1), 71–88
  15. Enzili, M., Nayysa, A., Affani, F. and Simonis, P. (1998) Wind energy in Morocco. Potential—state of the art—perspectives. DEWI Mag, 12:42–4
  16. EWT wind turbines. https://ewtdirectwind.com. Accessed 06 July 2019
  17. Fazelpour, F., Soltani, N., Soltani, S. and Rosen, M.A. (2015) Assessment of wind energy potential and economics in the north-western Iranian cities of Tabriz and Ardabil, Renew. Sustain. Energy Rev, 45, 87–99
  18. Global renewable energy trends (2019). Deloitte Insights
  19. Gualtieri, G. and Secci, S. (2012) Methods to extrapolate wind resource to the turbine hub height based on power law: a 1-h wind speed vs. Weibull distribution extrapolation comparison, Renew. Eng, 43, 183–200
  20. Haddouche. (2006) Renewable energy policy and wind energy in Morocco, CDER—Center for Renewable Energies Development, Morocco
  21. International Renewable Energy Agency (2014), Pan-Arab Renewable Energy Strategy 2030
  22. IRENA (2015), Renewable energy and jobs, Annual review, IRENA
  23. Irwanto, M., Gomesh, N., Mamat, M. R. and Yusoff, Y. M. (2014) Assessment of wind power generation potential in Perlis, Malaysia. Renew. Sustain. Energy Rev, 38, 296-308
  24. Justus, C. and Mikhail, A. (1976) Height variation of wind speed and wind distributions statistics, Geo. Res. Let, 3(15), 261–264
  25. Keyhani, A., Ghasemi-Varnamkhasti, M., Khanali, M. and Abbaszadeh, R. (2010) An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran, Energy, 35, 188e201
  26. Kousksou, T., Allouhi, A., Belattar, M., Jamil, A., El Rhafiki, T., Arid, A. and Zeraouli, Y. (2015) Renewable energy potential and national policy directions for sustainable development in Morocco. Renew Sustain Energy Rev, 47:46–57
  27. Manwell, J.F., McGowan, J.G. and Rogers, A.L. (2010) Wind Energy Explained: Theory, Design and Application, John Wiley & Sons
  28. Mostafaeipour, A., Jadidi, M., Mohammadi, K. and Sedaghat, A. (2014) An analysis of wind energy potential and economic evaluation in Zahedan, Iran, Renew. Sustain. Energy Rev, 30, 641e650
  29. Nfaoui, H., Bahraui, J., Darwish, AS. and Sayigh, AAM. (1991) Wind energy potential in Morocco. Renew Energy; 1(1):1–8
  30. Ouammi, A., Dagdougui, H., Sacile, R. and Mimet A. (2010) Monthly and seasonal assessment of wind energy characteristics at four monitored locations in Liguria region (Italy). Renew Sust Energy Rev, 14(7), 1959–68
  31. Ould Bilal, B., Ndongo, M., Kebe, C.M.F., Sambou, V. and Ndiaye, P.A. (2013) Feasibility study of wind energy potential for electricity generation in the northwestern coast of Senegal, Eng. Proc, 36, 1119–1129
  32. Philippopoulos, K., Deligiorgi, D. and Karvounis, G. (2012) Wind speed distribution modeling in the Greater Area of Chania, Greece. Int J Green Energy, 9(2), 174–93
  33. Renewable Energy Now Accounts for a Third of Global Power Capacity. IRENA. 2 April 2019
  34. Research Institute for Solar Energy and New Energies, http://www.iresen.org
  35. Safari, B. and Gasore, J. A. (2010) statistical investigation of wind characteristics and wind energy potential based on the Weibull and Rayleigh models in Rwanda. Renew Energy, 35(12), 2874–80
  36. Vergnet wind turbines. https://www.vergnet.com. Accessed 06 July 2019
  37. Vestas wind turbines. https://www.vestas.com. Accessed 06 July 2019
  38. Weisser, D. A. (2003) wind energy analysis of Grenada: an estimation using the ‘Weibull’ density function. Renew Energy, 28, 1803–12

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