We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Wind Potential Assessment of Three Coastal Sites in Algeria: Calculation and Modeling of Wind Turbine Noise using Matlab

by M. Benmedjahed, N. Ghellai, A. Benmansour
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 2
Year of Publication: 2012
Authors: M. Benmedjahed, N. Ghellai, A. Benmansour
10.5120/8864-2827

M. Benmedjahed, N. Ghellai, A. Benmansour . Wind Potential Assessment of Three Coastal Sites in Algeria: Calculation and Modeling of Wind Turbine Noise using Matlab. International Journal of Computer Applications. 56, 2 ( October 2012), 20-25. DOI=10.5120/8864-2827

@article{ 10.5120/8864-2827,
author = { M. Benmedjahed, N. Ghellai, A. Benmansour },
title = { Wind Potential Assessment of Three Coastal Sites in Algeria: Calculation and Modeling of Wind Turbine Noise using Matlab },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 2 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 20-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number2/8864-2827/ },
doi = { 10.5120/8864-2827 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:59:15.408487+05:30
%A M. Benmedjahed
%A N. Ghellai
%A A. Benmansour
%T Wind Potential Assessment of Three Coastal Sites in Algeria: Calculation and Modeling of Wind Turbine Noise using Matlab
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 2
%P 20-25
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Our study focuses on the assessment of wind resources of three coastal sites, open to the Mediterranean Sea in north Algeria (Annaba, Oran and Bejaia). The hourly data used in this study span a period of 10 years. The parameters considered are the speed and direction of wind. For this purpose, the most energetic and frequent speed as well as the Weibull parameters were evaluated to plot the wind rose. In order to estimate the noise annoyance, a small30 kW wind turbine was used to produce energy. Then, its noise was calculated and then modeled. The results obtained from the three sites gave annual mean speedsaround4m/s as the west and north sectors are dominant, with an estimated noise level around 45 dB at a distance of60mfrom the wind turbine. Calculation of the energy produced showed that the optimal energy can only be produced by small wind turbines. Among the considered sites, Oran was found to be the best in terms of energy (63. 83 GWh/wind turbine), with a capacity factor of around24%

References
  1. Carlin ,P W. Laxson . A. S, Muljadi. E. B. 2003. The History and State of the Art of Variable-Speed wind Turbine Technology. Wind Energy. 6:129–159.
  2. Veldkamp , D. 2008. A Probabilistic Evaluation of Wind Turbine Fatigue Design Rules. Wind Energy11:655–672
  3. Boulif,M. 2010. L'Energie éolienne au Maroc. Communication SMEE'2010. Alger. Algérie,
  4. Said,M. Ibrahim,A. 1984. Energy in the Arab. World. Energy. 9(3):217-38.
  5. Bensaid,H . 1985. The Algerian program on wind energy. Proceeding of WEAC,Oxfordpp. 21-27.
  6. Hammouche, R. 1990. Atlas Vent de l'Algérie. ONM Office des Publications Universitaires (OPU). Alger.
  7. Kasbadji Merzouk, N. 2000. Wind energy potential in Algeria. Renewable Energy. 21:553-62.
  8. Chellali,F. Khellaf,A. Belouchrani,A. 2010. Application of time–frequency representation in the study of the cyclical behavior of wind speed in Algeria: wavelet transform. Stochastic Environmental Research and Risk Assessment. Vol8:1233-9.
  9. Ben Medjahed ,M. Ghellai ,N. Tabet Hellal,MA. 2010 . choix du site et optimisation du dimensionnement d'une installation éolienne dans la région de ben Saf et son impact sur l'environnement. internationale d'héliotechnique. 42, 1-6.
  10. Solari,G. 1994. Wind Speeds Statistics. Collège on atmospheric Boundary Layer and Air Pollution, ICTP, Trieste, Italie .
  11. Mathew,S . 2006. Wind Energy Fundamentals. Resource Analysis and Economics,Springer-Verlag Berlin Heidelberg. ISBN-13 978-3-540-30905-5.
  12. Justus,C G,Mikhail . 1976. A. Height Variation of Wind speed and Win Distributions Statistics. Geophysical Research Letters. vol. 3: N° 5.
  13. Yousef , B. Aymeric,G. 2005. Collecte, organisation, traitement, analyse de mesures éoliques et modélisation énergétique. Thèse doctorat,Université Tecnica Federico Santa Maria, UTFSM. Valparaso. Chili.
  14. Judith , L. Gmbh ,L. 1996. Industrial noise - Description of the calculation method. AR-INTERIM-CM adaptation and revision of the interim noise computation methods for the purpose of strategic noise mapping . LABEIN Technological Centre.
  15. EMD . 2009. The WindPro Software. Available from: http//emd. dk/WindPro/downloads%20 and20%updates (accessed 10july2011),
Index Terms

Computer Science
Information Sciences

Keywords

Weibull parameters wind rose extracted energy wind power noise Algerian coast