This paper uses data collected by weather stations to develop coupled approach measurements numerical modeling for improving the estimation of wind produciblity. The work aims at improving the foundations for a prediction of a wind profile of quality, at short and long terms. This paper begins with a comparison between different actual methods of extrapolation wind speed, and then describes an artificial neural network (ANN) approach for the vertical wind speed extrapolation at the height of 50 m. The outputs of models are compared with the real measured data so the results show a significant improvement. Finally, a vertical wind speed profile is generated.
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References
1.
Soler-BientzR.WatsonS.InfieldD., Evaluation of the Wind Shear at a Site in the North-West of the Yucatan Peninsula, Mexico, wind engineering, 2009, 33(1), 93–107.
2.
LubitzW.D., Accuracy of Vertically Extrapolating Meteorological Tower Wind Speed Measurements”, Canadian Wind Energy Association Annual Conference Winnipeg, Canada, October 22–25, 2006. Available: www.soe.uoguelph.ca/webfiles/wlubitz/Lubitz_CanWEA_2006.pdf.
3.
PneumatikosJ.D., An Experimental Test of the Empirical Formula CommonlyUsed to Represent Wind Speed Profiles near Ground, Renewable energy, 1991, 1(5/6), 423–428.
4.
PojeS.CividiniB., Assessment of Wind Energy Potential in Croatia, Solar Energy, 1988, 41 (6), 543–554.
5.
ManwellJ.F.McGowanJ.G.RogersA.L., Wind energy explained, John Wiley & Sons Ltd, 2002.
6.
PneumatikosJ.D., An Experimental Test of the Empirical Formula Commonly Used to Represent Wind Speed Profiles near Ground, Renewable energy, 1991, 1(5/6), 423–428.
7.
KalogirouS.A., Artificial neural networks in renewable energy systems applications, Renew Sustain Energy, 2001, 5, 373–401.
8.
PhamD.T.LiuX., Neural networks for identification prediction and control, Springer, 1999.
9.
JustusC.G.MikhailA., Height Variation of Wind speed and Wind Distributions Statistics, Geophysical Research Letters, 1976, 3(5).
10.
Kasbadji-MerzoukN., Merzouk, M. and Benyoucef, B., Extrapolation verticale des paramètres de Weibull pour l'estimation du potentiel récupérable, Revue des Energies Renouvelables, ICRESD-07, Tlemcen, 2007, 193–198. Available: www.cder.dz/download/ICRESD07_29.pdf.
11.
TenneekesA., The logarithmic wind profile, Journal of Atmospheric sciences, 1973, 30, 234: 238.
12.
MikhailA.S.JustusC.G., Comparison of Height Extrapolation Models and Sensitivity Analysis, Wind Engineering, 1981, 5(2).
13.
HammoucheR., ‘Atlas Vent de l'Algérie’, Internal publication of ONM, Office National de Météorologie, Alger, 1990.
14.
HaberR.UnbehauenH., Structure identification of nonlinear dynamic systems—A survey on input/output approaches, Automatica, 1990, 26(4), 651–677.
15.
PetersonE., On the Use of Power Laws Estimates of Wind Power Potential, Journal of Applied Meteorology, 1978, 17, 390–394.
16.
MikhailA.S., Height Extrapolation of Wind Data, Journal of Solar Energy Engineering, 1985, 107, 10–14.
17.
NfaouiH.BahraouiJ.SayighA.A.M., Wind Characteristics and Wind Energy Potential in Marocco, Solar Energy, 1998, (1), 51–60.
