skip to main content

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

1Department of Physics, Faculty of Sciences and Technologies, University Hassan 1st, Settat, Morocco

2Department of Chemistry, Faculty of Sciences and Technologies, University Hassan 2nd, Mohammedia, Morocco

3Department of Chemistry, Faculty of Sciences, University Ibn Zohr, Agadir, Morocco

Received: 6 May 2019; Revised: 5 Oct 2019; Accepted: 15 Oct 2019; Available online: 30 Oct 2019; Published: 27 Oct 2019.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2019 The Authors. Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:
Cover Image
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
Fulltext View|Download
Keywords: Wind speed; Weibull distribution; Wind turbine; Power density; Zagora

Article Metrics:

  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. 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. 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,
  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. Accessed 06 July 2019
  37. Vestas wind turbines. 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

Last update:

  1. Analyzing the Solar Energy Data Using a New Anderson-Darling Test under Indeterminacy

    Muhammad Aslam, Ali Algarni, Leonardo Sandrolini. International Journal of Photoenergy, 2020 , 2020. doi: 10.1155/2020/6662389
  2. Exploring the potential of insect gut microbes for advancing renewable energy production

    Chun Fu, Assar Ali Shah, Mohammed Alissa, Meshari A. Alsuwat, Shakeeb Ullah, Muhammad Shuaib Khan, Ali Zaman. Journal of Applied Entomology, 2024. doi: 10.1111/jen.13311
  3. Analysis of Prospective Wind Energy Sites in Bangladesh Utilizing Weibull Distribution Method

    Mahmudul Hasan, Israt Jahan Khan, Pronay Dey, Nahid-Ur-Rahman Chowdhury. 2022 International Conference on Energy and Power Engineering (ICEPE), 2022. doi: 10.1109/ICEPE56629.2022.10044883
  4. The impact of local wind and spatial conditions on geometry blade of wind turbine

    Agnieszka Woźniak, Aldona Kluczek, Bogusław Ślusarczyk, Patrycja Żegleń, Małgorzata Górka. Energy Science & Engineering, 2024. doi: 10.1002/ese3.1805
  5. The run test for two samples in the presence of uncertainty

    Muhammad Aslam. Journal of Big Data, 10 (1), 2023. doi: 10.1186/s40537-023-00850-0
  6. Aerodynamic Optimization of Trailing-Edge-Serrations for a Wind Turbine Blade Using Taguchi Modified Additive Model

    Khaoula Qaissi, Omer Elsayed, Mustapha Faqir, Elhachmi Essadiqi. Energies, 16 (3), 2023. doi: 10.3390/en16031099
  7. Wind resource assessment and economic analysis for wind energy development in Pakistan

    Muhammad Abid Saeed, Zahoor Ahmed, Sheharyar Hussain, Weidong Zhang. Sustainable Energy Technologies and Assessments, 44 , 2021. doi: 10.1016/j.seta.2021.101068
  8. Techno-economic Analysis of Wind Turbines Powering Rural of Malaysia

    Ali Wadi Al-Fatlawi, Maher Ali Al-Baghdadi, Hussein Togun, Goodarz Ahmadi, Saidur Rahman, Nasrudin Abd Rahim. International Journal of Renewable Energy Development, 11 (2), 2022. doi: 10.14710/ijred.2022.43477
  9. Analysis of the potential of renewable energy in fulfilling home electrical loads and charging systems for electric motorcycles in Yogyakarta

    I W Adiyasa, F D Wijaya, R P Suteja. Journal of Physics: Conference Series, 2406 (1), 2022. doi: 10.1088/1742-6596/2406/1/012015
  10. Assessing the wind energy potential in provinces of West Java, Papua, and East Borneo in Indonesia

    Thariq Wijanarko, Djamal Didane, Wijianto Wijianto, Mohanad Al-Ghriybah, Nurul Nasir, Isa Mat. Journal of Applied Engineering Science, 20 (4), 2022. doi: 10.5937/jaes0-35192
  11. Insect gut bacteria: a promising tool for enhanced biogas production

    Binoy Kumar Show, Sandipan Banerjee, Aishiki Banerjee, Richik GhoshThakur, Amit Kumar Hazra, Narayan Chandra Mandal, Andrew B. Ross, Srinivasan Balachandran, Shibani Chaudhury. Reviews in Environmental Science and Bio/Technology, 21 (1), 2022. doi: 10.1007/s11157-021-09607-8
  12. Offshore Wind Energy Resource in the Kingdom of Morocco: Assessment of the Seasonal Potential Variability Based on Satellite Data

    Aïssa Benazzouz, Hassan Mabchour, Khalid El Had, Bendahhou Zourarah, Soumia Mordane. Journal of Marine Science and Engineering, 9 (1), 2020. doi: 10.3390/jmse9010031
  13. A critical analysis of wind energy generation potential in different regions of Bangladesh

    Mahmudul Hasan, Pronay Dey, Sumaiya Janefar, Nafisa Atia Salsabil, Israt Jahan Khan, Nahid-Ur-Rahman Chowdhury, A. Arefin, Omar Farrok. Energy Reports, 11 , 2024. doi: 10.1016/j.egyr.2024.01.061
  14. Analysis of wind energy practice in greenhouses: Case study

    Mohammed Daoudi. XVII MEXICAN SYMPOSIUM ON MEDICAL PHYSICS, 2947 , 2023. doi: 10.1063/5.0171572
  15. Analysis of the first onshore wind farm installation near the Morocco-United Kingdom green energy export project

    Mohammed Daoudi, Abdelaziz Ait Sidi Mou, Lahcen Ait Naceur. Scientific African, 17 , 2022. doi: 10.1016/j.sciaf.2022.e01388
  16. Analyzing wind power data using analysis of means under neutrosophic statistics

    Muhammad Aslam. Soft Computing, 25 (10), 2021. doi: 10.1007/s00500-021-05661-0
  17. Levelized costs of energy and hydrogen of wind farms and concentrated photovoltaic thermal systems. A case study in Morocco

    Ahmed Khouya. International Journal of Hydrogen Energy, 45 (56), 2020. doi: 10.1016/j.ijhydene.2020.08.240
  18. Wind Energy Potential in Pakistan: A Feasibility Study in Sindh Province

    Rafiq Asghar, Zahid Ullah, Babar Azeem, Sheraz Aslam, Muhammad Harris Hashmi, Ehtsham Rasool, Bilawal Shaker, Muhammad Junaid Anwar, Kainat Mustafa. Energies, 15 (22), 2022. doi: 10.3390/en15228333

Last update: 2024-07-15 03:03:25

No citation recorded.