Wind Turbulence Intensity Characteristics at 10m Above Ground Along the Cotonou Coast, Benin

Hagninou Elagnon Venance Donnou; Aristide Barthélémy Akpo; Julien Djossou; Basile Bruno Kounouhewa

doi:doi:10.11648/j.ijrse.20190804.11

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Wind Turbulence Intensity Characteristics at 10m Above Ground Along the Cotonou Coast, Benin

Hagninou Elagnon Venance Donnou, Aristide Barthélémy Akpo, Julien Djossou, Basile Bruno Kounouhewa

Published in International Journal of Sustainable and Green Energy (Volume 8, Issue 4)

Received: 14 October 2019 Accepted: 12 November 2019 Published: 25 November 2019

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Abstract

The characteristics of the wind turbulence intensity that are essential to know before installing a wind turbine at a site were investigated along the coast of Cotonou in Benin. The average speed, direction, roughness length, friction velocity, turbulence intensity and relationship between the roughness and wind turbulence intensity were evaluated as well. Using the estimators derived from a simple isotropic Gaussian model of turbulent wind fluctuations, we proposed modified models for estimating the turbulence intensity of wind components. Wind speed and direction data recorded at 10 m above ground level from 2011 to 2014 during the first Compact of the Millennium Challenge Account (MCA) in Benin were utilized. The results obtained indicated that the annual average roughness length is evaluated at 1.25×10^-4 m, and the annual mean friction velocity is equal to 0.41 m.s^-1. Peak values of the turbulence intensity vary from 0.3 to 0.6 except during the months of January, April, July, August and September. The high values obtained could jeopardize the production of wind energy during these months. The correlation between the turbulence intensity and roughness length ranging from 0.75 in January to 0.94 in August revealed that these two parameters are linked by an increasing linear function. Finally, modified formulations of the longitudinal and transversal wind turbulence intensity developed from the van den Hurk and de Bruin model and based on the best-fitting approach were proposed. The error estimators (MAE; RMSE) computed to validate these modified models vary respectively from (0.0099; 0.0141) to (0.0614; 0.0890).

Published in	International Journal of Sustainable and Green Energy (Volume 8, Issue 4)
DOI	10.11648/j.ijrse.20190804.11
Page(s)	65-80
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), 2019. Published by Science Publishing Group

Keywords

Turbulence Intensity, Surface Roughness Length, Friction Velocity, Modified Estimators

References

[1]	A. M. M. Ismaiel, and S. Yoshida, ‘‘Study of turbulence intensity effect on the fatigue lifetime of wind turbines’’, Journal of Novel Carbon Resource Sciences & Green Asia Strategy, 2018, vol. 05, n° 1, pp. 25-32.
[2]	Wind Power Monthly (2017), https://www.windpowermonthly.com/10-biggest-turbines.
[3]	Global Wind Energy Council (2017), http://gwec.net/wp content/uploads/2018/02/Global_Cumulative_Installed_Wind_Capacity_2001-2017. jpg
[4]	Z. L. Mahri, S. Zid, and R. M. Salah, “An optimal design of the wind turbine blade geometry adapted to a specific site using Algerian wind data”, ROMAI J., 2013, vol. 9, n° 2, pp. 143-154.
[5]	R. Rafiee, M. Moradi, and M. Khanpour, “The influence of material properties on the aeroelastic behavior of a composite wind turbine blade’’, Journal of Renewable and Sustainable Energy, 2016, vol. 8, pp. 1-12.
[6]	I. Boumrar, “Effets de l’angle de calage des pales d’une petite éolienne sur sa puissance électrique générée’’. Third International Conference on Energy, Materials, Applied Energetics and Pollution ICEMAEP, 2016, Constantine, Algeria.
[7]	Y. Kawashima, and T. Uchida, (2017), ‘‘Effects of terrain induced turbulence on wind turbine blade fatigue loads’’, Energy and Power Engineering, 2017, vol. 9, pp. 843-857.
[8]	L. J. L. Stival, A. K. Guetter, and F. O. de Andrade, ‘‘The impact of wind shear and turbulence intensity on wind turbine power performance’’, Espaço Energia, 2017, 27, pp. 11-20.
[9]	K. S. Hansen, R. J. Barthelmie, L. E. Jensen, A. Sommer, ‘‘The impact of turbulence intensity and atmospheric stability on power deficits due to wind turbine wakes at Horns. Rev wind farm’’, Wind Energy, vol. 15, n°1, pp. 183-196.
[10]	L. C. Cheung, S. Premasuthan, S. Davoust, and D. von Terzi, A Simple Model for the Turbulence Intensity Distribution in Atmospheric Boundary Layers Journal of Physics: Conference Series, 2016, vol. 753, n°3, pp. 1-10.
[11]	M. S. Siddiqui, A. Rasheed, T. Kvamsdal, and M. Tabib, ‘‘Effect of Turbulence Intensity on the Performance of an Offshore Vertical Axis Wind Turbine’’, Energy Procedia, 2015, vol. 80, pp. 312-320.
[12]	S. T. Frandsen, ‘‘Turbulence and turbulence generated fatigue in wind turbine clusters, Report R–1188, Risø National Laboratory, Roskilde, 2007, Denmark.
[13]	C. M. S. Martin, J. K. Lundquist, A. Clifton, G. S. Poulos, and S. J. Schreck (2016), ‘‘Wind turbine power production and annual energy production depend on atmospheric stability and turbulence’’, Wind Energ. Sci., 2016, vol. 1, pp. 221-236.
[14]	R. J. Barthelmie, S. T. Frandsen, M. N. Nielsen, S. C. Pryor, P. E. Rethore, and H. E. Jørgensen (2007), ‘‘Modelling and measurements of power losses and turbulence intensity in wind turbine wakes at Middelgrunden offshore wind farm’’, Wind Energy, 2007, vol. 10, pp. 517-528.
[15]	P. Adaramola, Å. Krogstad, ‘‘Experimental investigation of wake effects on wind turbine Performance’’, Renewable Energy, 2011, vol. 36, pp. 2078-2086.
[16]	W. D. Lubitz, ‘‘Impact of ambient turbulence on performance of a small wind turbine’’, Wind Energy Applications (WE) World Renewable Energy Congress, Linköping, Sweden, 2011, pp. 4121-4127.
[17]	T. Uchida, and Y. Ohya, ‘‘Latest Developments in Numerical Wind Synopsis Prediction Using the RIAM-COMPACTCFD Model Design Wind Speed Evaluation and Wind Risk (Terrain Induced Turbulence) Diagnostics in Japan’’, Energies, 2011, vol. 4, pp. 458-474.
[18]	A. Sathe, J. Mann, T. K. Barlas, W. A. A. M. Bierbooms, and G. J. W. van Bussel, ‘‘Atmospheric stability and its influence on wind turbine loads. In Proceedings of Torque, the science of making torque from wind, 2012.
[19]	A. Al-Abadi, Y. J. Kim, Ö. Ertunç, and A. Delgado, ‘‘Turbulence impact on wind turbines: experimental investigations on a wind turbine model’’, Journal of Physics: Conference Series, 2016, vol. 753, n°3, pp. 1-13.
[20]	T. Uchida, ‘‘CFD Prediction of the Air flow at a Large scale Wind Farm above a Steep, Three- dimensional Escarpment’’, Energy and Power Engineering, 2017, vol 9, pp. 829-842.
[21]	A. J. Eggers, R. Digumarthi, and K. Chaney, ‘‘Wind shear and turbulence effects on rotor fatigue and loads control’’ J. Sol. Energy Eng., 2003, vol. 125, pp. 402-409.
[22]	T. Mücke, D. Kleinhans, and J. Peinke, ‘‘Atmospheric turbulence and its influence on the alternating loads on wind turbines’’, Wind Energy, 2000, vol. 14, n°2, pp. 301-316.
[23]	A. J. Brand, J. Peinke, and J. Mann, ‘‘Turbulence and Wind Turbines, ECN Wind Energy, Wind turbine rotor and Wind farm Aerodynamics’’, 13th European Turbulence Conference Warsaw, Poland, 2011.
[24]	T. Ishihara, A. Yamaguchi, and M. W. Sarwar, ‘‘A Study of the normal turbulence model in IEC 61400-1’’, Wind Engineering, 2012, vol. 36, n°6, pp. 759-766.
[25]	A. Peña, R. Floors, A. Sathe, S. E. Gryning, R. Wagner, M. S. Courtney, G. Xiaoli, L. A. N. Hahmann, B. Charlotte, Y. Guo, J. Keller and W. La Cava, ‘‘Planetary gear load sharing of wind turbine drive trains subjected to non-torque loads’’, Wind Energy, 2015, vol. 18, n°4, pp. 757-768.
[26]	H. Wang, R. J. Barthelmie, S. C. Pryor, and H. G. Kim, ‘‘A new turbulence model for offshore wind turbine standards’’, Wind Energ., 2013, vol. 17, pp. 1587-1604.
[27]	A. K. Luhar (2010), ‘‘Estimating variances of horizontal wind fluctuations in stable condi- tions’’, Boundary-Layer Meteorol., 2010, vol. 135, pp. 301-311.
[28]	T. S. Leu, J. M. Yo, Y. T. Tsai, J. J. Miau, and T. C. Wang (2014), ‘‘Assessment of IEC 61400-1 normal turbulence model for wind conditions in Taiwan West Coast areas’’, 5th International Symposium on Physics of Fluids (ISPF5), International Journal of Modern Physics: Conference Series, 2014, vol. 34, pp. 1-8.
[29]	N. Cheggaga, A. Hamidat, O. Nadjemi, ‘‘Génération de profils de vent en vue d’application éoliennes’’, IJEST, 2015, vol. 3, pp. 97-102.
[30]	F. Porté-Agel, Y. T. Wu, C. H. Chen, ‘‘A Numerical study of the effects of wind direction on turbine wakes and power losses in a large wind farm’’, Energies, 2013, vol. 6, pp. 5297-5313.
[31]	S. Madougou, ‘’Etude du potentiel éolien du jet nocturne dans la zone sahélienne à partir des observations de radars proﬁlers de vent’’, Thèse de Doctorat, Université Paul Sabatier III, Toulouse, France, 2010.
[32]	M. Nadjah, M. Khechana, L. Laiche, T. Ouksel, and C. Mahfoudi, ‘‘Etude de l’hélice d’une éolienne de 5 kW’’, Revue des Energies Renouvelables, 2008, pp. 257-264.
[33]	B. Attaf, ‘‘Eco-conception et développement des pales d’éoliennes en matériaux composites’’, Revue des Energies Renouvelables, 2010, pp. 37-48.
[34]	C. N. Awanou, J. M. Degbey, and E. Ahlonsou, ‘‘Estimation of the mean wind energy avaible in Benin (ex Dahomey)’’, Renew. Energy, 1991, vol. 1, n°40, pp. 845-853.
[35]	M. A. Houekpoheha, B. Kounouhewa, B. N. Tokpohozin, and C. N. Awanou, ‘‘Estimation de la puissance énergétique éolienne à partir de la distribution de weibull sur la côte béninoise de Cotonou dans le golfe de guinée’’, Revue des Energies Renouvelables, vol. 17, 2014, pp. 489-495.
[36]	A. B. Akpo, J. C. T. Damada, H. E. V. Donnou, B. Kounouhewa, B. and C. N. Awanou (2015), ‘‘Estimation de la production énergétique d’un aérogénérateur sur un site isolé dans la région côtière du Bénin’’, Revue des Energies Renouvelables, 2015, vol. 18, n°3, pp. 457-468.
[37]	B. E. Houngninou, C. S. U. Allé, K. F. Guédjé, H. Kougbéagbédè, ‘‘Changes in near-surface wind speed in the south of Benin from 1961 to 2016’’, Int. J. Adv. Res., 2017, vol. 5, n°11, pp. 1223-1232.
[38]	E. Richard, and A. Dolle, ‘‘Data Report (MCA): Development of a metocean station at the port of cotonou: Supply, installation, operation and maintenance of an oceanographic monitoring: (lot5)’’, pp8- atm - 145c, Millennium Challenge Account (MCA I Benin). 2011.
[39]	C. Thomas, and T. Foken, ‘‘Re-evaluation of integral turbulence characteristics and their parameterisations’’, Am. Meteorol. Soc, 2002, pp. 129-132.
[40]	Z. Sorbjan, An examination of local similarity theory in the stably stratified boundary layer’’, Boundary-Layer Meteorol, 1987, vol. 38, pp. 63-71.
[41]	Q. Zhang, J. Zeng, T. Yao (2012), ‘‘Interaction of aerodynamic roughness length and wind-flow conditions and its parameterization over vegetation surface’’, Atmospheric Science, 2012, vol. 57, n°13, pp. 1559-1567.
[42]	A. S. Monin, A. M. Obukhov, ‘‘Basic Laws of Turbulent Mixing in the Ground Layer of the Atmosphere’’, Akad. Nauk SSSR Geoﬁz. InstTr, 1954, vol. 151, pp. 163-187.
[43]	C. A. Paulson, ‘‘The mathematical representation of wind speed and temperature profiles in the unstable atmospheric surface layer. J. Appl. Meteorol, 1970, vol. 9, pp. 857-861.
[44]	J. A. Businger, J. C. Wyngaard, Y. Izumi and E. F. Bradley, ‘‘Flux-Profile relationships in the atmospheric surface layer’’, J. Atmos Sci., 1971, vol. 28, n°18, pp. 181-189.
[45]	R. O. Weber, ‘‘Estimators for the standard deviations of lateral, longitudinal and vertical wind components’’, Atmos. Environ., 1998, vol. 32, pp. 3639-3646.
[46]	J. Bengtsson, ‘‘Turbulence wind flow modeling in complex Terrain: A comparison between a linear model, a CFD model and a NWP Model’’, Master’s thesis, Chalmers University of Technology Göteborg, Göteborg, Sweden. 2015.
[47]	A. Mostafaeipour, M. Jadidi, K. Mohammadi, and A. Sedaghat, ‘‘An Analysis of Wind Energy Potential and Economic Evaluation in Zahedan, Iran’’, Renewable and Sustainable Energy Reviews, 2014, vol. 30, pp. 641–650.
[48]	H. Charnock, ‘‘Wind stress on a water surface’’, Quarterly Journal of the Royal Meteorological Society, 1955, vol. 81, pp. 639-640.
[49]	A. Peña, and S. E. Gryning, ‘‘Charnock’s roughness length Model and non-dimensional wind profiles over the sea’’, Boundary-Layer Meteorol., 2008a, vol. 128, pp. 191-203.
[50]	A. Obermann, B. Edelmann and B. Ahrens, ‘‘Influence of sea surface roughness length parameterization on Mistral and Tramontane simulations’’, Adv. Sci. Res., 2016, vol. 13, pp. 107-112.
[51]	M. A. Donelan, F. W. Dobson, S. D. Smith, and R. J. Anderson, ‘‘On the dependence of sea surface roughness on wave development. Journal of Physical Oceanography, 1993, vol. 23, pp. 2143-2149.
[52]	R. J. Barthelmie, ‘‘Evaluating the impact of wind induced roughness change and tidal range on extrapolation of offshore vertical wind speed profiles’’, Wind Energ, 2001, vol. 4, pp. 99-105.
[53]	M. Turk, and S. Emeis, ‘‘The dependence of offshore turbulence intensity on wind speed. J. Wind Eng. Ind. Aerodyn, 2010, vol. 98, pp. 466-471.
[54]	M. Mirhosseini, F. Sharifi, and A. Sedaghat, ‘‘Assessing the wind energy potential locations in province of Semnan in Iran, Renew Sustain Energy Rev, 2011, vol. 15, pp. 449-59.
[55]	J. F. Manwell, J. G. McGowan, A. L. and Rogers (2009), Wind energy explained: theory, design and application, 2nd ed, Chichester, U. K., Wiley.
[56]	X. Zidong, W. Hao, W. Teng, T. Tianyou, and M. Jianxiao, ‘‘Wind characteristics at Sutong Bridge site using 8-year field measurement data’’, Wind Struct, 2017, vol. 25, n°2, 195-214.
[57]	B. J. J. M van den Hurk, and H. A. R. de Bruin, ‘‘Fluctuations of the horizontal wind under unstable conditions’’, Boundary-Layer Meteorol., 1995, vol. 74, pp. 341-352.
[58]	M. C. Cirillo, and A. A. Poli, ‘‘An intercomparison of semi empirical diffusion models under low wind speed, stable conditions, Atmos Environ.., 1992, vol. 26, pp. 765-774.
[59]	F. Ben Amar, M. Elamouri, and M. R. Dhifaoui, ‘‘Energy Assessment of the First Wind Farm Section of Sidi Daoud, Tunisia’’, Renew. Energy, 2008, vol. 33, n°10, pp. 2311-2321.
[60]	T. Chai, R. R. Draxler, ‘‘Root mean square error (rmse) or mean absolute error (mae) ?- arguments against avoiding rmse in the literature’’, Geosci. Model Dev., 2014, vol. 7, pp. 1247–1250.
[61]	D. Petkovic, S. Shamshirband, N. B. Anuar, H. Saboohi, A. W. Abdul Wahab, M. Protic, E. Zalnezhad, and S. M. Amin Mirhashemi, ‘‘An appraisal of wind speed distribution prediction by soft computing methodologies: A comparative study’’, Energy Conversion and Management, 2014, vol. 84, pp. 133-139.
[62]	S. M. Ogbonmwan, E. T. Ogbomida, N. O. Uwadia, O. R. Efegoma, and G. L. Umoru, ‘‘Analysis of trends in the variability of monthly mean minimum and maximum temperature and relative humidity in Benin City’’, Int. J. Renew. Energ & Environ., 2016, vol. 2, pp. 150-165.
[63]	A. S. Bajamgnigni Gbambie, and D. G. Steyn, ‘‘Sea breezes at Cotonou and their interaction with the West African monsoon’’, Int. J. Climatol, 2013, vol 33, pp. 2889-2899.
[64]	D. Khalfa, A. Benretem, L. Herous, and I. Meghlaoui, ‘‘Evaluation of the adequacy of the wind speed extrapolation laws for two different roughness meteorological sites’’, Am. J. Appl. Sci., 2014, vol. 11, n°4, pp. 570-583.
[65]	A. Peña, S. E. Gryning, and C. B. Hasager, (2008b), ‘‘Measurements and modelling of the wind speed profile in the marine atmospheric boundary Layer’’, Boundary-Layer Meteorol., 2008b, vol. 129, pp. 479-495.
[66]	D. Jarmalavičius, J. Satkūnas, G. Zilinskas, and D. Pupienis, ’’ The influence of coastal morphology on wind dynamics, ’’ Estonian Journal of Earth Sciences, 2012, vol. 61, n°2, pp. 120-130.
[67]	T. Meada, T. Yokota, Y. Shimizu, and K. Adachi, ‘‘Wind tunnel study of the interaction between two horizontal axis wind turbines’’, Wind Eng, 2004, vol. 8, n°2, 197-212.
[68]	S. Chowdhury, J. Zhang, A. Messac, and L. Castillo, ‘‘Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions’’, Renewable Energy, 2013, vol. 52, pp. 273-282.
[69]	T. R. Ayodele, and A. S. O. Ogunjuyigbe, ‘‘Assessment of turbulence intensity of local wind regimes’’, International Journal of Sustainable Energy, 2014, vol. 35, n°3, pp. 1-14.
[70]	R. L. Petersen, ‘‘A wind tunnel evaluation of methods for estimating surface roughness length at industrial facilities’’, Atmospheric Environment, 1997, vol. 31, n°1, pp. 45-57.
[71]	H. W. Tieleman, ‘‘Roughness estimation for wind-load simulation experiments’’, J. Wind. Eng. Ind. Aerodyn, 2003, vol. 91, pp. 1163-73.
[72]	M. C. H. Hui, A. Larsen, and H. F. Xiang, ‘‘Wind turbulence characteristics study at the Stonecutters Bridge site: Part I-Mean wind and turbulence intensities. J. Wind Eng. Ind. Aerodyn, 2009, vol. 97, pp. 22-36.
[73]	G. Gualtieri, and G. Zappitelli, G. (2015), ‘‘Investigating wind resource, turbulence intensity and gust factor on mountain locations in Southern Italy’’, Int. J. of Green Energy, 2015, vol. 12, n°5, pp. 309-327.
[74]	J. C. Lagarias., J. A. Reeds, M. H. Wright, and P. E. Wright, (1998), ‘‘Convergence Properties of the Nelder-Mead Simplex Method in Low Dimensions’’, SIAM Journal of Optimization, 1998, vol. 9, n°1, pp. 112-147.

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Hagninou Elagnon Venance Donnou, Aristide Barthélémy Akpo, Julien Djossou, Basile Bruno Kounouhewa. (2019). Wind Turbulence Intensity Characteristics at 10m Above Ground Along the Cotonou Coast, Benin. International Journal of Sustainable and Green Energy, 8(4), 65-80. https://doi.org/10.11648/j.ijrse.20190804.11

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Hagninou Elagnon Venance Donnou; Aristide Barthélémy Akpo; Julien Djossou; Basile Bruno Kounouhewa. Wind Turbulence Intensity Characteristics at 10m Above Ground Along the Cotonou Coast, Benin. Int. J. Sustain. Green Energy 2019, 8(4), 65-80. doi: 10.11648/j.ijrse.20190804.11

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Hagninou Elagnon Venance Donnou, Aristide Barthélémy Akpo, Julien Djossou, Basile Bruno Kounouhewa. Wind Turbulence Intensity Characteristics at 10m Above Ground Along the Cotonou Coast, Benin. Int J Sustain Green Energy. 2019;8(4):65-80. doi: 10.11648/j.ijrse.20190804.11

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@article{10.11648/j.ijrse.20190804.11,
  author = {Hagninou Elagnon Venance Donnou and Aristide Barthélémy Akpo and Julien Djossou and Basile Bruno Kounouhewa},
  title = {Wind Turbulence Intensity Characteristics at 10m Above Ground Along the Cotonou Coast, Benin},
  journal = {International Journal of Sustainable and Green Energy},
  volume = {8},
  number = {4},
  pages = {65-80},
  doi = {10.11648/j.ijrse.20190804.11},
  url = {https://doi.org/10.11648/j.ijrse.20190804.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijrse.20190804.11},
  abstract = {The characteristics of the wind turbulence intensity that are essential to know before installing a wind turbine at a site were investigated along the coast of Cotonou in Benin. The average speed, direction, roughness length, friction velocity, turbulence intensity and relationship between the roughness and wind turbulence intensity were evaluated as well. Using the estimators derived from a simple isotropic Gaussian model of turbulent wind fluctuations, we proposed modified models for estimating the turbulence intensity of wind components. Wind speed and direction data recorded at 10 m above ground level from 2011 to 2014 during the first Compact of the Millennium Challenge Account (MCA) in Benin were utilized. The results obtained indicated that the annual average roughness length is evaluated at 1.25×10-4 m, and the annual mean friction velocity is equal to 0.41 m.s-1. Peak values of the turbulence intensity vary from 0.3 to 0.6 except during the months of January, April, July, August and September. The high values obtained could jeopardize the production of wind energy during these months. The correlation between the turbulence intensity and roughness length ranging from 0.75 in January to 0.94 in August revealed that these two parameters are linked by an increasing linear function. Finally, modified formulations of the longitudinal and transversal wind turbulence intensity developed from the van den Hurk and de Bruin model and based on the best-fitting approach were proposed. The error estimators (MAE; RMSE) computed to validate these modified models vary respectively from (0.0099; 0.0141) to (0.0614; 0.0890).},
 year = {2019}
}

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TY  - JOUR
T1  - Wind Turbulence Intensity Characteristics at 10m Above Ground Along the Cotonou Coast, Benin
AU  - Hagninou Elagnon Venance Donnou
AU  - Aristide Barthélémy Akpo
AU  - Julien Djossou
AU  - Basile Bruno Kounouhewa
Y1  - 2019/11/25
PY  - 2019
N1  - https://doi.org/10.11648/j.ijrse.20190804.11
DO  - 10.11648/j.ijrse.20190804.11
T2  - International Journal of Sustainable and Green Energy
JF  - International Journal of Sustainable and Green Energy
JO  - International Journal of Sustainable and Green Energy
SP  - 65
EP  - 80
PB  - Science Publishing Group
SN  - 2575-1549
UR  - https://doi.org/10.11648/j.ijrse.20190804.11
AB  - The characteristics of the wind turbulence intensity that are essential to know before installing a wind turbine at a site were investigated along the coast of Cotonou in Benin. The average speed, direction, roughness length, friction velocity, turbulence intensity and relationship between the roughness and wind turbulence intensity were evaluated as well. Using the estimators derived from a simple isotropic Gaussian model of turbulent wind fluctuations, we proposed modified models for estimating the turbulence intensity of wind components. Wind speed and direction data recorded at 10 m above ground level from 2011 to 2014 during the first Compact of the Millennium Challenge Account (MCA) in Benin were utilized. The results obtained indicated that the annual average roughness length is evaluated at 1.25×10-4 m, and the annual mean friction velocity is equal to 0.41 m.s-1. Peak values of the turbulence intensity vary from 0.3 to 0.6 except during the months of January, April, July, August and September. The high values obtained could jeopardize the production of wind energy during these months. The correlation between the turbulence intensity and roughness length ranging from 0.75 in January to 0.94 in August revealed that these two parameters are linked by an increasing linear function. Finally, modified formulations of the longitudinal and transversal wind turbulence intensity developed from the van den Hurk and de Bruin model and based on the best-fitting approach were proposed. The error estimators (MAE; RMSE) computed to validate these modified models vary respectively from (0.0099; 0.0141) to (0.0614; 0.0890).
VL  - 8
IS  - 4
ER  -

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Hagninou Elagnon Venance Donnou

Laboratory of Radiation Physics, University of Abomey-Calavi, Cotonou, Benin
Aristide Barthélémy Akpo

Laboratory of Radiation Physics, University of Abomey-Calavi, Cotonou, Benin
Julien Djossou

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

Laboratory of Radiation Physics, University of Abomey-Calavi, Cotonou, Benin

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Hagninou Elagnon Venance Donnou, Aristide Barthélémy Akpo, Julien Djossou, Basile Bruno Kounouhewa. (2019). Wind Turbulence Intensity Characteristics at 10m Above Ground Along the Cotonou Coast, Benin. International Journal of Sustainable and Green Energy, 8(4), 65-80. https://doi.org/10.11648/j.ijrse.20190804.11

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Hagninou Elagnon Venance Donnou; Aristide Barthélémy Akpo; Julien Djossou; Basile Bruno Kounouhewa. Wind Turbulence Intensity Characteristics at 10m Above Ground Along the Cotonou Coast, Benin. Int. J. Sustain. Green Energy 2019, 8(4), 65-80. doi: 10.11648/j.ijrse.20190804.11

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Hagninou Elagnon Venance Donnou, Aristide Barthélémy Akpo, Julien Djossou, Basile Bruno Kounouhewa. Wind Turbulence Intensity Characteristics at 10m Above Ground Along the Cotonou Coast, Benin. Int J Sustain Green Energy. 2019;8(4):65-80. doi: 10.11648/j.ijrse.20190804.11

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@article{10.11648/j.ijrse.20190804.11,
  author = {Hagninou Elagnon Venance Donnou and Aristide Barthélémy Akpo and Julien Djossou and Basile Bruno Kounouhewa},
  title = {Wind Turbulence Intensity Characteristics at 10m Above Ground Along the Cotonou Coast, Benin},
  journal = {International Journal of Sustainable and Green Energy},
  volume = {8},
  number = {4},
  pages = {65-80},
  doi = {10.11648/j.ijrse.20190804.11},
  url = {https://doi.org/10.11648/j.ijrse.20190804.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijrse.20190804.11},
  abstract = {The characteristics of the wind turbulence intensity that are essential to know before installing a wind turbine at a site were investigated along the coast of Cotonou in Benin. The average speed, direction, roughness length, friction velocity, turbulence intensity and relationship between the roughness and wind turbulence intensity were evaluated as well. Using the estimators derived from a simple isotropic Gaussian model of turbulent wind fluctuations, we proposed modified models for estimating the turbulence intensity of wind components. Wind speed and direction data recorded at 10 m above ground level from 2011 to 2014 during the first Compact of the Millennium Challenge Account (MCA) in Benin were utilized. The results obtained indicated that the annual average roughness length is evaluated at 1.25×10-4 m, and the annual mean friction velocity is equal to 0.41 m.s-1. Peak values of the turbulence intensity vary from 0.3 to 0.6 except during the months of January, April, July, August and September. The high values obtained could jeopardize the production of wind energy during these months. The correlation between the turbulence intensity and roughness length ranging from 0.75 in January to 0.94 in August revealed that these two parameters are linked by an increasing linear function. Finally, modified formulations of the longitudinal and transversal wind turbulence intensity developed from the van den Hurk and de Bruin model and based on the best-fitting approach were proposed. The error estimators (MAE; RMSE) computed to validate these modified models vary respectively from (0.0099; 0.0141) to (0.0614; 0.0890).},
 year = {2019}
}

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TY  - JOUR
T1  - Wind Turbulence Intensity Characteristics at 10m Above Ground Along the Cotonou Coast, Benin
AU  - Hagninou Elagnon Venance Donnou
AU  - Aristide Barthélémy Akpo
AU  - Julien Djossou
AU  - Basile Bruno Kounouhewa
Y1  - 2019/11/25
PY  - 2019
N1  - https://doi.org/10.11648/j.ijrse.20190804.11
DO  - 10.11648/j.ijrse.20190804.11
T2  - International Journal of Sustainable and Green Energy
JF  - International Journal of Sustainable and Green Energy
JO  - International Journal of Sustainable and Green Energy
SP  - 65
EP  - 80
PB  - Science Publishing Group
SN  - 2575-1549
UR  - https://doi.org/10.11648/j.ijrse.20190804.11
AB  - The characteristics of the wind turbulence intensity that are essential to know before installing a wind turbine at a site were investigated along the coast of Cotonou in Benin. The average speed, direction, roughness length, friction velocity, turbulence intensity and relationship between the roughness and wind turbulence intensity were evaluated as well. Using the estimators derived from a simple isotropic Gaussian model of turbulent wind fluctuations, we proposed modified models for estimating the turbulence intensity of wind components. Wind speed and direction data recorded at 10 m above ground level from 2011 to 2014 during the first Compact of the Millennium Challenge Account (MCA) in Benin were utilized. The results obtained indicated that the annual average roughness length is evaluated at 1.25×10-4 m, and the annual mean friction velocity is equal to 0.41 m.s-1. Peak values of the turbulence intensity vary from 0.3 to 0.6 except during the months of January, April, July, August and September. The high values obtained could jeopardize the production of wind energy during these months. The correlation between the turbulence intensity and roughness length ranging from 0.75 in January to 0.94 in August revealed that these two parameters are linked by an increasing linear function. Finally, modified formulations of the longitudinal and transversal wind turbulence intensity developed from the van den Hurk and de Bruin model and based on the best-fitting approach were proposed. The error estimators (MAE; RMSE) computed to validate these modified models vary respectively from (0.0099; 0.0141) to (0.0614; 0.0890).
VL  - 8
IS  - 4
ER  -

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