Vertical Extrapolation of Wind Speeds Under a Neutral Atmosphere and Evaluation of the Wind Energy Potential on Different Sites in Guinea

Kalil Pierre Mathos; Hagninou Elagnon Venance Donnou; Clément Adéyèmi Kouchadé; Basile Bruno Kounouhewa

doi:doi:10.11648/j.ajee.20200801.12

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Vertical Extrapolation of Wind Speeds Under a Neutral Atmosphere and Evaluation of the Wind Energy Potential on Different Sites in Guinea

Kalil Pierre Mathos, Hagninou Elagnon Venance Donnou, Clément Adéyèmi Kouchadé, Basile Bruno Kounouhewa

Published in American Journal of Energy Engineering (Volume 8, Issue 1)

Received: 30 April 2020 Accepted: 5 June 2020 Published: 17 June 2020

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Abstract

This study has been focused on the vertical profile determination of the winds under a neutral atmosphere in order to assess of the wind power density at three sites in Guinea. The power law has been used as an extrapolation model for wind speed. The Weibull function has been used to estimate the wind power density. The satellite data at 10 m above the ground recorded during the period from January 2001 to December 2015 on the sites of Conakry, Mamou and N’zérékoré sites were used. The results indicate that the Conakry site is the windiest of the three study sites with an average speed estimated at 2.83 m.s^-1 at 10 m and 4.23 m.s^-1 at 100 m above the ground. The form parameter k of Weibull varies from 1 to 1.8 and the scale parameter c from 1.5 to 6 m.s^-1 and are both increasing functions of altitude. Finally, the quantities of energy obtained at the three sites reveal that only the Conakry site could be suitable for the installation of small wind turbines for the wind energy production. The average annual density is estimated at 45.77 W.m^-2 at 10 m; 85.62 W.m^-2 at 50 m and 113.31 W.m^-2 at 100 m. On the Mamou and N’zérékoré sites, the pumping water from multi-blade wind turbines could be considered.

Published in	American Journal of Energy Engineering (Volume 8, Issue 1)
DOI	10.11648/j.ajee.20200801.12
Page(s)	9-17
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Vertical Profile of Winds, Power Law, Weibull Function, Wind Power, Wind Turbine

References

[1]	Global Wind Energy Council (2017), http://gwec.net/wpcontent/uploads/2018/02/Global_Cumulative_Installed_Wind_Capacity_2001-2017. Jpg.
[2]	G. P. van den Berg, “Wind turbine power and sound in relation to atmospheric stability,” Wind Energy, vol. 11, no. 2, pp. 151–169, 2008.
[3]	L. Morales, F. Lang, and C. Mattar, “Mesoscale wind speed simulation using CALMET model and reanalysis information: an application to wind potential,” Renewable Energy, vol. 48, pp. 57–71, 2012.
[4]	J. F. Manwell, J. G. McGowan and A. L. Rogers, “Wind energy explained”, John Wiley and Sons Ltd. 2003.
[5]	M. R Elkinton, A. L. Rogers and J. G. McGowan, (2006) “An investigation of wind-shear models and experimental data trends for different terrains”, WinEn, 30 (4), pp 341–350, 2006.
[6]	G. Gualtieri and S. Secci, “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. Energy, 143, pp 183–200, 2012.
[7]	S. Emeis, “Wind energy meteorology, atmospheric physics for wind power generation”. Berlin: Springer. 978-3-642-30522-1, 2013.
[8]	D. Khalfa, A. Benretem, L. Herous, I. and Meghlaoui, I., “Evaluation of the adequacy of the wind speed extrapolation laws for two different roughness meteorological sites”, Am. J. Appl. Sci., 11 (4), pp 570–583, 2014.
[9]	M. Sedghi, M. Boroushaki, and S. K. Hannani, “Modeling changes in wind speed with height in iran’s cities and its impact on the energy production” Journal of Renewable and Sustainable Energy, (7), pp 1–12, 2015
[10]	C. Xu, C. Hao, L. L. X. Han, F. Xue, M. Sun and W. Shen, “Evaluation of the power-law wind-speed extrapolation method with atmospheric stability classification methods for flows over different terrain types”, Appl. Sci., (8), pp 1–16, 2018.
[11]	C. A Lopez-Villalobos., O. R. Rodriguez-Hernandez, Campos-Amezcua, G. Hernandez-Cruz, O. A. Jaramillo and J. L. Mendoza, “Wind turbulence intensity at la ventosa, mexico: a comparative study with the IEC 61400 standards”, Energies, (11), pp 1–19, 2018.
[12]	G. Grassi and P. Vecchio, “Wind energy prediction using a two-hidden layer neural network,” Communications in Nonlinear Science and Numerical Simulation, vol. 15, no. 9, pp. 2262–2266, 2010.
[13]	C. G. Justus and A. Mikhail, “Height variation of wind speed and wind distributions statistics,” Geophysical Research Letters, vol. 3, no. 5, pp. 261–264, 1976.
[14]	M. Schwartz and D. Elliott, “Towards a wind energy climatology at advanced turbine hub-heights,” in Proceedings of 15th Conference on Applied Climatology, Savannah, GA, USA, May 2005.
[15]	M. A. Lackner, A. L. Rogers, J. F. Manwell, and J. G. McGowan, “A new method for improved hub height mean wind speed estimates using short-term hub height data”, Renew. Energy, 35, pp 2340–2347, 2010.
[16]	M. E. Okorie, F. Inambao and Z. Chiguvare, “Evaluation of wind shear coefficients surface 645 roughness and energy yields over inland locations in namibia”, Procedia Manuf, (7), pp 630–638, 2017.
[17]	D. Elliott, J. Cadogan, “Effect of wind shear and turbulence on wind turbine power curves”. In: Proceedings of the 1990 European community wind energy conference, Madrid, Spain, p. 79-83, 1990.
[18]	P. Gardner, A. Garrad, P. Jamieson, H. Snodin, and G. Nicholls, “Wind Energy, The Facts, An Analysis of Wind Energy in theEU-25”, vol. 1, European Wind Energy Association, Bruxelles, Belgium, 2002.
[19]	F. Banuelos-Ruedas, C. Angeles-Camacho, S. Rios-Marcuello, “Analysis and validation of the methodology used in the extrapolation of wind speed data at different heights”, Renewable and Sustainable Energy Reviews, 14, pp 2383–2391, 2010.
[20]	S. M. Boudia, “Optimisation de l’évaluation temporelle du gisement énergétique éolien par simulation numérique et contribution à la réactualisation de l’atlas des vents en Algérie, Thèse de Doctorat, Université de Tlemcen Abou Bakr Bleka¨ıd, Tlemcen, Algeria, 2012.
[21]	B. A. H. Maadjou, “Point Focal National CBD. Rapport sur la mise en œuvre du programme sur la biodiversité marine et côtière”.
[22]	GUINEA-SCN. Ministère de l’environnement, des eaux et forêts: Seconde communication nationale à la convention cadre des Nations Unies sur le changement climatique, page 2, Conakry, 2018.
[23]	C. G. Justus, W. R. Hargraves, A. Mikhail and D. Graber, “Methods for Estimating Wind Speed Frequency Distributions”, Journal of Applied Meteorology, 17 (3), PP 350-53, 1978.
[24]	G. Hellman, “Uber die Bewegung der Luft in den untersten Schichten der Atmosphere”, Meteorol Z., 34, pp 273-285, 1916.
[25]	D. A. Spera and T. R. Richards, “Modified power law equations for vertical wind profiles. In: Conference and workshop on wind energy characteristics and wind energy siting”, Portland OR, USA. 1-10, 1979.
[26]	S. Kulkarni and H. P. Huang, “Changes in Surface Wind Speed over North America from CMIP5 Model Projections and Implications for Wind Energy”, Advances in Meteorology, Article ID 292768, pp 1-10, 2014.
[27]	G. Gualtieri and S. Secci, “Wind shear coefficients, roughness, length and energy yield over coastal locations in Southern Italy”, Renew. Energy, 36 (3), pp 1081-1094, 2011.
[28]	B. Ould Bilal. Etude et modélisation du potentiel éolien du site de Gandon à Saint Louis: application au dimensionnement d’une éolienne adaptée au site, Mémoire de Master, ESP, Université Cheikh Anta Diop (UCAD), 2005.
[29]	R. O. Fagbenle, J. Katende, O. O. Ajayi and J. O. Okeniyi, “Assessment of wind energy potential of two sites in North-East, Nigeria”, Renewable Energy, 36 (4), pp 1277-1283, 2011.
[30]	A. A. Akinsanola, K. O. Ogunjobi, A. T. Abolude, S. C. Sarris and K. O. Ladipo, K., “Assessment of Wind Energy Potential for Small Communities in South-South Nigeria: Case Study of Koluama, Bayelsa State”, J Fundam Renewable Energy Appl, 7 (2), pp 1-6, 2017.
[31]	D. H. Didane, N. Rosly, M. F. Zulkafli and S. S. Shamsudin “Evaluation of Wind Energy Potential as a Power Generation Source in Chad”. International Journal of Rotating Machinery, 2017, Article ID: 3121875, https://doi.org/10.1155/2017/3121875, 2017.
[32]	A. S. A. Ajavon, A. A. Salami, M. K. Kodjo, K. Bédja, “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), pp 134-142, 2015.
[33]	D. Boro, H. E. V. Donnou, I. Kossi, N. Bado, F. P. Kieno and J. Bathiebo, ‘’Vertical Profile of Wind Speed in the Atmospheric Boundary Layer and Assessment of Wind Resource on the Bobo Dioulasso Site in Burkina Faso”, Smart Grid and Renewable Energy, 10, pp 257-278, 2019.
[34]	U. A. O. Na, I. and Ka, “Investigation of Wind Power Potential over Some Selected Coastal Cities in Nigeria”. Innovative Energy & Research, 6, 1, pp 1-12, 2017.
[35]	M. S. Adaramola, M. Agelin-Chaab, S. S. Paul, “Assessment of wind power generation along the coast of Ghana”, Energy Conversion and Management, 77, pp 61-69, 2014.
[36]	A. A. Salami, A. S. A. Ajavon, K. Mawugno, M. K. Kodjo, and K. Bédja., “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), pp 211-233, 2016.
[37]	I. Youm, J. Sarr, M. Sall, A. Ndiaye and M. M. Kane, “Analysis of wind data and wind energy potential along the northern coast of Senegal”, Rev. Energ. Ren, 8 (2), pp 95-108, 2005.
[38]	B. Ouldbilal, M. Ndongo, C. M. F. Kebe, V. Sambou and P. A. Ndiaye,“Feasibility study of wind energy potential for electricity genaration in the northwestern coast of Senegal”, Energy Procedia, 36, pp 1119-1129, 2013.
[39]	B. Ouldbilal, M. Ndongo., V. Sambou, P. A. Ndiaye and C. M. Kebe, “Diurnal characteristics of the wind potential along the northwestern coast of Senegal”, International Journal of the Physical Sciences, 6 (35), pp 7950-7960, 2011.
[40]	H. E. V. Donnou, A. B. Akpo, G. F. Nonfodji and B. B. Kounouhewa, “Variability of Onshore Wind Energy Potential in the 60 m above the Ground under Convective Atmosphere in Southern Benin.” American Journal of Energy Research, vol. 7, no. 1, pp 19-30 doi: 10.12691/ajer-7-1-3. 2019.

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APA Style

Kalil Pierre Mathos, Hagninou Elagnon Venance Donnou, Clément Adéyèmi Kouchadé, Basile Bruno Kounouhewa. (2020). Vertical Extrapolation of Wind Speeds Under a Neutral Atmosphere and Evaluation of the Wind Energy Potential on Different Sites in Guinea. American Journal of Energy Engineering, 8(1), 9-17. https://doi.org/10.11648/j.ajee.20200801.12

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ACS Style

Kalil Pierre Mathos; Hagninou Elagnon Venance Donnou; Clément Adéyèmi Kouchadé; Basile Bruno Kounouhewa. Vertical Extrapolation of Wind Speeds Under a Neutral Atmosphere and Evaluation of the Wind Energy Potential on Different Sites in Guinea. Am. J. Energy Eng. 2020, 8(1), 9-17. doi: 10.11648/j.ajee.20200801.12

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AMA Style

Kalil Pierre Mathos, Hagninou Elagnon Venance Donnou, Clément Adéyèmi Kouchadé, Basile Bruno Kounouhewa. Vertical Extrapolation of Wind Speeds Under a Neutral Atmosphere and Evaluation of the Wind Energy Potential on Different Sites in Guinea. Am J Energy Eng. 2020;8(1):9-17. doi: 10.11648/j.ajee.20200801.12

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@article{10.11648/j.ajee.20200801.12,
  author = {Kalil Pierre Mathos and Hagninou Elagnon Venance Donnou and Clément Adéyèmi Kouchadé and Basile Bruno Kounouhewa},
  title = {Vertical Extrapolation of Wind Speeds Under a Neutral Atmosphere and Evaluation of the Wind Energy Potential on Different Sites in Guinea},
  journal = {American Journal of Energy Engineering},
  volume = {8},
  number = {1},
  pages = {9-17},
  doi = {10.11648/j.ajee.20200801.12},
  url = {https://doi.org/10.11648/j.ajee.20200801.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajee.20200801.12},
  abstract = {This study has been focused on the vertical profile determination of the winds under a neutral atmosphere in order to assess of the wind power density at three sites in Guinea. The power law has been used as an extrapolation model for wind speed. The Weibull function has been used to estimate the wind power density. The satellite data at 10 m above the ground recorded during the period from January 2001 to December 2015 on the sites of Conakry, Mamou and N’zérékoré sites were used. The results indicate that the Conakry site is the windiest of the three study sites with an average speed estimated at 2.83 m.s-1 at 10 m and 4.23 m.s-1 at 100 m above the ground. The form parameter k of Weibull varies from 1 to 1.8 and the scale parameter c from 1.5 to 6 m.s-1 and are both increasing functions of altitude. Finally, the quantities of energy obtained at the three sites reveal that only the Conakry site could be suitable for the installation of small wind turbines for the wind energy production. The average annual density is estimated at 45.77 W.m-2 at 10 m; 85.62 W.m-2 at 50 m and 113.31 W.m-2 at 100 m. On the Mamou and N’zérékoré sites, the pumping water from multi-blade wind turbines could be considered.},
 year = {2020}
}

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TY  - JOUR
T1  - Vertical Extrapolation of Wind Speeds Under a Neutral Atmosphere and Evaluation of the Wind Energy Potential on Different Sites in Guinea
AU  - Kalil Pierre Mathos
AU  - Hagninou Elagnon Venance Donnou
AU  - Clément Adéyèmi Kouchadé
AU  - Basile Bruno Kounouhewa
Y1  - 2020/06/17
PY  - 2020
N1  - https://doi.org/10.11648/j.ajee.20200801.12
DO  - 10.11648/j.ajee.20200801.12
T2  - American Journal of Energy Engineering
JF  - American Journal of Energy Engineering
JO  - American Journal of Energy Engineering
SP  - 9
EP  - 17
PB  - Science Publishing Group
SN  - 2329-163X
UR  - https://doi.org/10.11648/j.ajee.20200801.12
AB  - This study has been focused on the vertical profile determination of the winds under a neutral atmosphere in order to assess of the wind power density at three sites in Guinea. The power law has been used as an extrapolation model for wind speed. The Weibull function has been used to estimate the wind power density. The satellite data at 10 m above the ground recorded during the period from January 2001 to December 2015 on the sites of Conakry, Mamou and N’zérékoré sites were used. The results indicate that the Conakry site is the windiest of the three study sites with an average speed estimated at 2.83 m.s-1 at 10 m and 4.23 m.s-1 at 100 m above the ground. The form parameter k of Weibull varies from 1 to 1.8 and the scale parameter c from 1.5 to 6 m.s-1 and are both increasing functions of altitude. Finally, the quantities of energy obtained at the three sites reveal that only the Conakry site could be suitable for the installation of small wind turbines for the wind energy production. The average annual density is estimated at 45.77 W.m-2 at 10 m; 85.62 W.m-2 at 50 m and 113.31 W.m-2 at 100 m. On the Mamou and N’zérékoré sites, the pumping water from multi-blade wind turbines could be considered.
VL  - 8
IS  - 1
ER  -

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Author Information

Kalil Pierre Mathos

Laboratory of Radiation Physics (LPR), University of Abomey-Calavi, Cotonou, Benin; Institute of Mathematics and Physical Sciences (IMSP), University of Abomey-Calavi, Porto-Novo, Benin
Hagninou Elagnon Venance Donnou

Laboratory of Radiation Physics (LPR), University of Abomey-Calavi, Cotonou, Benin
Clément Adéyèmi Kouchadé

Laboratory of Radiation Physics (LPR), University of Abomey-Calavi, Cotonou, Benin
Basile Bruno Kounouhewa

Laboratory of Radiation Physics (LPR), University of Abomey-Calavi, Cotonou, Benin

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Kalil Pierre Mathos, Hagninou Elagnon Venance Donnou, Clément Adéyèmi Kouchadé, Basile Bruno Kounouhewa. (2020). Vertical Extrapolation of Wind Speeds Under a Neutral Atmosphere and Evaluation of the Wind Energy Potential on Different Sites in Guinea. American Journal of Energy Engineering, 8(1), 9-17. https://doi.org/10.11648/j.ajee.20200801.12

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ACS Style

Kalil Pierre Mathos; Hagninou Elagnon Venance Donnou; Clément Adéyèmi Kouchadé; Basile Bruno Kounouhewa. Vertical Extrapolation of Wind Speeds Under a Neutral Atmosphere and Evaluation of the Wind Energy Potential on Different Sites in Guinea. Am. J. Energy Eng. 2020, 8(1), 9-17. doi: 10.11648/j.ajee.20200801.12

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AMA Style

Kalil Pierre Mathos, Hagninou Elagnon Venance Donnou, Clément Adéyèmi Kouchadé, Basile Bruno Kounouhewa. Vertical Extrapolation of Wind Speeds Under a Neutral Atmosphere and Evaluation of the Wind Energy Potential on Different Sites in Guinea. Am J Energy Eng. 2020;8(1):9-17. doi: 10.11648/j.ajee.20200801.12

Copy | Download

@article{10.11648/j.ajee.20200801.12,
  author = {Kalil Pierre Mathos and Hagninou Elagnon Venance Donnou and Clément Adéyèmi Kouchadé and Basile Bruno Kounouhewa},
  title = {Vertical Extrapolation of Wind Speeds Under a Neutral Atmosphere and Evaluation of the Wind Energy Potential on Different Sites in Guinea},
  journal = {American Journal of Energy Engineering},
  volume = {8},
  number = {1},
  pages = {9-17},
  doi = {10.11648/j.ajee.20200801.12},
  url = {https://doi.org/10.11648/j.ajee.20200801.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajee.20200801.12},
  abstract = {This study has been focused on the vertical profile determination of the winds under a neutral atmosphere in order to assess of the wind power density at three sites in Guinea. The power law has been used as an extrapolation model for wind speed. The Weibull function has been used to estimate the wind power density. The satellite data at 10 m above the ground recorded during the period from January 2001 to December 2015 on the sites of Conakry, Mamou and N’zérékoré sites were used. The results indicate that the Conakry site is the windiest of the three study sites with an average speed estimated at 2.83 m.s-1 at 10 m and 4.23 m.s-1 at 100 m above the ground. The form parameter k of Weibull varies from 1 to 1.8 and the scale parameter c from 1.5 to 6 m.s-1 and are both increasing functions of altitude. Finally, the quantities of energy obtained at the three sites reveal that only the Conakry site could be suitable for the installation of small wind turbines for the wind energy production. The average annual density is estimated at 45.77 W.m-2 at 10 m; 85.62 W.m-2 at 50 m and 113.31 W.m-2 at 100 m. On the Mamou and N’zérékoré sites, the pumping water from multi-blade wind turbines could be considered.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Vertical Extrapolation of Wind Speeds Under a Neutral Atmosphere and Evaluation of the Wind Energy Potential on Different Sites in Guinea
AU  - Kalil Pierre Mathos
AU  - Hagninou Elagnon Venance Donnou
AU  - Clément Adéyèmi Kouchadé
AU  - Basile Bruno Kounouhewa
Y1  - 2020/06/17
PY  - 2020
N1  - https://doi.org/10.11648/j.ajee.20200801.12
DO  - 10.11648/j.ajee.20200801.12
T2  - American Journal of Energy Engineering
JF  - American Journal of Energy Engineering
JO  - American Journal of Energy Engineering
SP  - 9
EP  - 17
PB  - Science Publishing Group
SN  - 2329-163X
UR  - https://doi.org/10.11648/j.ajee.20200801.12
AB  - This study has been focused on the vertical profile determination of the winds under a neutral atmosphere in order to assess of the wind power density at three sites in Guinea. The power law has been used as an extrapolation model for wind speed. The Weibull function has been used to estimate the wind power density. The satellite data at 10 m above the ground recorded during the period from January 2001 to December 2015 on the sites of Conakry, Mamou and N’zérékoré sites were used. The results indicate that the Conakry site is the windiest of the three study sites with an average speed estimated at 2.83 m.s-1 at 10 m and 4.23 m.s-1 at 100 m above the ground. The form parameter k of Weibull varies from 1 to 1.8 and the scale parameter c from 1.5 to 6 m.s-1 and are both increasing functions of altitude. Finally, the quantities of energy obtained at the three sites reveal that only the Conakry site could be suitable for the installation of small wind turbines for the wind energy production. The average annual density is estimated at 45.77 W.m-2 at 10 m; 85.62 W.m-2 at 50 m and 113.31 W.m-2 at 100 m. On the Mamou and N’zérékoré sites, the pumping water from multi-blade wind turbines could be considered.
VL  - 8
IS  - 1
ER  -

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