This paper develops the modeling of wind speed by Weibull distribution in
the intention to evaluate wind energy potential and help for designing small
wind energy plant in Batouri in Cameroon. The Weibull distribution model was
developed using wind speed data collected from a metrological station at the small Airport of Batouri. Four numerical
methods (Moment method,Graphical
method, Empirical method and Energy pattern factor method) were used to
estimate weibull parameters K and C. The application of these four methods
is effective using a sample wind speed data set. With some statistical
analysis, a comparison of the accuracy of each method is also performed. The
study helps to determine that Energy pattern factor method is the most
effective (K = 3.8262 and C = 2.4659).
References
[1]
Elie Bertrand, K.S., Abraham, K. and Lucien, M. (2020) Sustainable Energy through Wind Speed and Power Density Analysis in Ambam, South Region of Cameroon. Frontiers in Energy Research, 8, Article 176. https://doi.org/10.3389/fenrg.2020.00176
[2]
Antoine, F.N.A., Bertrand, G.T.C., Bertrand, K.S.E. and Blanco, C.J.C. (2020) Sustainable Development around Small-Scale Mining Areas by the Development of Micro Hydro Power: Application Cases in Cameroon. Journal of Power and Energy Engineering, 8, 36-48. https://doi.org/10.4236/jpee.2020.83003
[3]
Fawzan, A., James, E.A. and Chris, R.R. (2019) Wind Energy Assessment for NEOM City, Saudi Arabia. Energy Science & Engineering, 8, 755-767. https://doi.org/10.1002/ese3.548
[4]
Kengne Signe, E.B., Tekounegning, O., Hamandjoda, O. and Nganhou, J. (2015) Local Blacksmith’s Activity in the West Region of Cameroon and Their Contribution to the Development of Micro Hydroelectric Power Plants in That Region. African Journal of Environmental Science and Technology, 9, 428-437. https://doi.org/10.5897/AJEST2014.1798
[5]
Kengne Signe, E.B., Hamandjoda, L., Oumarou, H. and Nganhou, J. (2017) Methodology of Feasibility Studies of Micro-Hydro Power Plants in Cameroon: Case of the Micro-Hydro of KEMKEN. Energy Procedia, 119, 17-28. https://doi.org/10.1016/j.egypro.2017.07.042
[6]
Kengne Signe, E.B., Hamandjoda, O., Nganhou, J. and Wegang, L. (2017) Technical and Economic Feasibility Studies of a Micro Hydropower Plant in Cameroon for a Sustainable Development. Journal of Power and Energy Engineering, 5, 64-73. https://doi.org/10.4236/jpee.2017.59006
[7]
Kengne Signe, E.B., Ooumarou, H., Gubong, T.C. and Fanyep, N.A. (2017) Modeling of Rainfall-Runoff by Artificial Neural Network for Micro Hydro Power Plant: A Case Study in Cameroon. The International Journal of Innovative Research in Science, Engineering and Technology, 6, 15511-15519.
[8]
Kengne Signe, E.B., Hamandjoda, L., Oumarou, H. and Nganhou, J. (2019) Performance in Feasibility Studies of Micro Hydro Power Plants. New Software Development and Application Cases in Cameroon. Energy Procedia, 157, 1391-1403. https://doi.org/10.1016/j.egypro.2018.11.304
[9]
Afungchui, D. and Aban, C.E. (2014) Analysis of Wind Regimes for Energy Estimation in Bamenda, of the North West Region of Cameroon, Based on the Weibull Distribution. Revue des Energies Renouvelables, 17, 137-147.
[10]
Hicham, B., Ikram, E.A., Abdelmajid, E.B. and Abdelmoumen, D. (2019) Wind Speed Data Analysis Using Weibull and Rayleigh Distribution Functions, Case Study: Five Cities Northern Morocco. Procedia Manufacturing, 32, 786-793.
[11]
Isa, D., Sean, R., Arvind, S. and Craig, J.R. (2018) Evaluating Wind Speed Probability Distribution Models with a Novel Goodness of Fit Metric: A Trinidad and Tobago Case Study. International Journal of Energy and Environmental Engineering, 9, 323-339. https://doi.org/10.1007/s40095-018-0271-y
[12]
Kengne Signe, E.B., Kanmogne, A., Emmanuel, G.D. and Meva’a, L. (2019) Comparison of Seven Numerical Methods for Determining Weibull Parameters of Wind for Sustainable Energy in Douala, Cameroon. International Journal of Energy Sector Management, 13, 903-915. https://doi.org/10.1108/IJESM-07-2018-0014
[13]
Kengne Signe, E.B., Ooumarou, H. and Nganhou, J. (2016) Modeling of Characteristics of Wind by Weibull Distribution and Estimation of Wind Energy in Douala, Littoral Region of Cameroon. International Journal of Innovative Research in Science, Engineering and Technology, 5, 6601-6608. https://doi.org/10.15680/IJIRSET.2016.0505001
[14]
Kidmo, D.K., Danwe, R., Doka, S.Y. and Djongyang, N. (2015) Statistical Analysis of Wind Speed Distribution Based on Six Weibull Methods for Wind Power Evaluation in Garoua, Cameroon. Rеvuе des Energies Renouvelables, 18, 105-125.
[15]
Nkongo, A.A., Ebobenow, J. and Afungchui, D. (2016) Wind Energy Potential Assessment of Cameron’s Coastal Regions for the Installation of an Onshorewind Farm. Heliyon, 2, E00187. https://doi.org/10.1016/j.heliyon.2016.e00187
[16]
Olaofe, Z.O. (2015) On the Remapping and Identification of Potential Wind Sites in Nigeria. Energy and Power Engineering, 7, 477-499. https://doi.org/10.4236/epe.2015.710046
[17]
Olaofe, Z.O. (2017) Assessment of the Offshore Wind Speed Distributions at Selected Stations in the South-West of Nigeria. International Journal of Renewable Energy Research, 7, 565-577.
[18]
Parajuli, A. (2016) A Statistical Analysis of Wind Speed and Power Density Based on Weibull and Rayleigh Models of Jumla, Nepal. Energy and Power Engineering, 8, 271-282. https://doi.org/10.4236/epe.2016.87026
[19]
Paulo Alexandre, C.R., Ricardo, C.S., Carla, F.A. and Maria Eugênia, V.S. (2012) Comparison of Seven Numerical Methods for Determining Weibull Parameters for Wind Energy Generation in the Northeast Region of Brazil. Applied Energy, 89, 395-400. https://doi.org/10.1016/j.apenergy.2011.08.003
[20]
Ucar, A. and Balo, F. (2009) Evaluation of Wind Energy Potential and Electricity Generation at Six Locations in Turkey. Applied Energy, 86, 1864-1872. https://doi.org/10.1016/j.apenergy.2008.12.016
[21]
Hulio, Z.H., Jiang, W. and Rehman, S. (2017) Technical and Economic Assessment of Wind Power Potential of Nooriabad, Pakistan. Energy, Sustainability and Society, 7, Article No. 35. https://doi.org/10.1186/s13705-017-0137-9
