skip to main content

Evaluation of wind potential for an optimum choice of wind turbine generator on the sites of Lomé, Accra, and Cotonou located in the gulf of Guinea

Department of Electrical Engineering, Ecole Nationale Supérieure d'Ingénieurs, University of Lomé, Togo

Published: 4 Nov 2016.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2016 International Journal of Renewable Energy Development

Citation Format:

This work presents the characterization and assessment of wind energy potential in annual and monthly levels of the sites of Lomé, Accra and Cotonou located in the Gulf of Guinea, and the optimal characteristics of wind turbines to be installed on these sites. Studies of characterization and the wind potential of these sites from the wind speed data collected over a period of thirteen years at a height of 10 meters above the ground, show an annual average speed of 3.52 m/s for Lomé, 3.99 m/s for Cotonou and 4.16 m/s for Accra. These studies also showed that a monthly average speed exceeding 4 m/s was observed on the sites of Cotonou and Accra during the months of February, March, April, July, August and September and during the months of July, August and September on the site of Lomé. After a series of simulation conducted using the software named PotEol that we have developed in Scilab, we have retained that the wind turbines rated speeds of ~8 to 9 m/s at the sites of Lomé and Cotonou and ~ 9 to 10 m/s on the site of Accra would be the most appropriate speeds for optimal exploitation of electric energy from wind farms at a height of 50 m above the ground.

Article History: Received May 26th 2016; Received in revised form August 24th 2016; Accepted August 30th 2016; Available online

How to Cite This Article: Salami, A.A., Ajavon, A.S.A , Kodjo, M.K. and Bédja, K. (2016) Evaluation of Wind Potential for an Optimum Choice of Wind Turbine Generator on the Sites of Lomé, Accra, and Cotonou Located in the Gulf of Guinea. Int. Journal of Renewable Energy Development, 5(3), 211-223.

Fulltext View|Download
Keywords: Modeling; Wind potential; Optimal parameters choice; Wind turbine generator
Funding: Univerity of Lomé, Institut de Formation Technique Supérieure

Article Metrics:

  1. Ahmed Salahaddin A. (2013) ‘Comparative Study of Four Methods for Estimating Weibull Parameters for Halabja, Iraq.’ International Journal of Physical Sciences 8 (5). Academic Journals: 186–92
  2. Ajavon Ayite Senah Akoda, Akim A Salami, Mawugno K Kodjo, and Koffi-Sa Bédja. (2015) ‘Comparative Characterization Study of the Variability of Wind Energy Potential by Wind Direction Sectors for Three Coastal Sites in Lomé, Accra and Cotonou.’ Journal of Power Technologies 95 (2): 134–42
  3. Akdag Seyit A, and Ali Dinler. (2009) ‘A New Method to Estimate Weibull Parameters for Wind Energy Applications.’ Energy Conversion and Management 50 (7). Elsevier: 1761–66
  4. Al Zohbi Gaydaa, Patrick Hendrick, and Philippe Bouillard. (2015) ‘Wind Characteristics and Wind Energy Potential Analysis in Five Sites in Lebanon.’ International Journal of Hydrogen Energy. Elsevier
  5. Bagiorgas Haralambos S, Mihalakakou Giouli, Shafiqur Rehman, and Luai M Al-Hadhrami. (2011) ‘Weibull Parameters Estimation Using Four Different Methods and Most Energy-Carrying Wind Speed Analysis.’ International Journal of Green Energy 8 (5). Taylor & Francis: 529–54
  6. Burton Tony, David Sharpe, Nick Jenkins, and Ervin Bossanyi. (2001) Wind Energy Handbook. Wind Energy. Vol. 25. doi: 10.1007/s10661-011-2038-2
  7. Celik Ali Naci. (2004) ‘A Statistical Analysis of Wind Power Density Based on the Weibull and Rayleigh Models at the Southern Region of Turkey.’ Renewable Energy 29 (4). Elsevier: 593–604
  8. Editorial. (2011) ‘Wind Turbine Wakes for Wind Energy.’ Wind Energy 14: 797–98. doi: 10.1002/we.534
  9.’ n.d
  10. Impacts Environmental, Wind-energy Projects Committee, Wind Energy Projects, Council Isbn, This Pdf, National Academies Press, and National Academy. (2007) Environmental Impacts of Wind-Energy Projects. National Academies Press Online
  11. Jowder Fawzi A L. (2009) ‘Wind Power Analysis and Site Matching of Wind Turbine Generators in Kingdom of Bahrain.’ Applied Energy 86 (4). Elsevier: 538–45
  12. Justus C G, W R Hargraves, Amir Mikhail, and Denise Graber. (1978) ‘Methods for Estimating Wind Speed Frequency Distributions.’ Journal of Applied Meteorology 17 (3): 350–53
  13. Justus C G, and Amir Mikhail. (1976) ‘Height Variation of Wind Speed and Wind Distributions Statistics. 'Geophysical Research Letters' 3 (5). Wiley Online Library: 261–64
  14. Kaldellis John K., and D. Zafirakis. (2011) ‘The Wind Energy (r)evolution: A Short Review of a Long History.’ Renewable Energy 36 (7): 1887–1901. doi: 10.1016/j.renene.2011.01.002
  15. Lu Lin, Hongxing Yang, and John Burnett. (2002) ‘Investigation on Wind Power Potential on Hong Kong Islands:an Analysis of Wind Power and Wind Turbine Characteristics.’ Renewable Energy 27 (1). Elsevier: 1–12
  16. Manwell J.F., J.G. McGowan, and A.L. Rogers. (2002) Wind Energy Explained. Wind Engineering. doi: 10.1002/0470846127
  17. Rocha Paulo Alexandre Costa, Ricardo Coelho de Sousa, Carla Freitas de Andrade, and Maria Eugênia Vieira da Silva. (2012) ‘Comparison of Seven Numerical Methods for Determining Weibull Parameters for Wind Energy Generation in the Northeast Region of Brazil.’ Applied Energy 89 (1). Elsevier: 395–400
  18. Sahin Ahmet Duran. (2004) ‘Progress and Recent Trends in Wind Energy.’ Progress in Energy and Combustion Science 30 (5): 501–43. doi: 10.1016/j.pecs.2004.04.001
  19. Salami Akim Adekunle, Ayite Senah Akoda Ajavon, Mawugno Koffi Kodjo, and Koffi-Sa Bedja. (2013) ‘Contribution to Improving the Modeling of Wind and Evaluation of the Wind Potential of the Site of Lome: Problems of Taking into Account the Frequency of Calm Winds.’ Renewable Energy 50. Elsevier: 449–55. doi:
  20. Stankovic Sinisa, Neil Campbell, and Alan Harries. (2009) Urban Wind Energy. Refocus. RDL2LhTMcQIC&pgis=1
  21. Tong Wei. (2010) ‘Fundamentals of Wind Energy.’ In Wind Power Generation and Wind Turbine Design, 3–42. doi: 10.5860/CHOICE.48-3904
  22. WD. (1996) ‘Wind Energy in Spain.’ Wind Directions

Last update:

  1. Wind Energy Potential estimation using Neural ANFIS approache

    Akuete Pierre Agbessi, Adekunle Akim Salami, Koffi Mawugno Kodjo. 2021 IV International Conference on High Technology for Sustainable Development (HiTech), 2021. doi: 10.1109/HiTech53072.2021.9614224
  2. Estimating mixture hybrid Weibull distribution parameters for wind energy application using Bayesian approach

    Agbassou Guenoupkati, Adekunlé Akim Salami, Yao Bokovi, Piléki Xavier Koussetou, Seydou Ouedraogo. International Journal of Renewable Energy Development, 12 (5), 2023. doi: 10.14710/ijred.2023.54452
  3. Design and analysis of switching power vertical wind turbines and solar panels in the equatorial region

    Khodijah Amiroh, Helmy Widyantara, Dwi Edi Setyawan, Muhammad Rafi Irzam. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGY AND MULTIDISCIPLINE (ICATAM) 2021: “Advanced Technology and Multidisciplinary Prospective Towards Bright Future” Faculty of Advanced Technology and Multidiscipline, 2536 , 2023. doi: 10.1063/5.0118917
  4. Comparative Study of Wind Energy Potential Estimation Methods for Wind Sites in Togo and Benin (West Sub-Saharan Africa)

    Kwami Senam A. Sedzro, Adekunlé Akim Salami, Pierre Akuété Agbessi, Mawugno Koffi Kodjo. Energies, 15 (22), 2022. doi: 10.3390/en15228654
  5. Modelling the Optimal Electricity Mix for Togo by 2050 Using OSeMOSYS

    Esso-Wazam Honoré Tchandao, Akim Adekunlé Salami, Koffi Mawugno Kodjo, Amy Nabiliou, Seydou Ouedraogo. International Journal of Renewable Energy Development, 12 (2), 2023. doi: 10.14710/ijred.2023.50104
  6. Analysis and evaluation of database for the selection of propulsion systems for tankers

    Van Viet Pham, Anh Tuan Hoang, Hung Chien Do. INTERNATIONAL CONFERENCE ON EMERGING APPLICATIONS IN MATERIAL SCIENCE AND TECHNOLOGY: ICEAMST 2020, 2235 , 2020. doi: 10.1063/5.0007655
  7. Optimal Sizing and Analysis of Solar PV, Wind, and Energy Storage Hybrid System for Campus Microgrid

    Furkan Ahmad, Mohammad Saad Alam. Smart Science, 6 (2), 2018. doi: 10.1080/23080477.2017.1417005
  8. Estimating Weibull Parameters for Wind Energy Applications using Seven Numerical Methods: Case studies of three costal sites in West Africa

    Agbassou Guenoukpati, Adekunlé Akim Salami, Mawugno Koffi Kodjo, Kossi Napo. International Journal of Renewable Energy Development, 9 (2), 2020. doi: 10.14710/ijred.9.2.217-226

Last update: 2023-12-08 16:10:50

No citation recorded.