Open Access
MATEC Web Conf.
Volume 70, 2016
2016 The 3rd International Conference on Manufacturing and Industrial Technologies
Article Number 09004
Number of page(s) 6
Section Mechatronics
Published online 11 August 2016
  1. S. Darbandi, M. T. Aalami, H. Asadi, Comparison of Four Distributions for Frequency Analysis of Wind Speed, Environment and Natural Resources Research, 2(1):96–105, (2012) [CrossRef] [Google Scholar]
  2. Electricity demand survey report at the St. Martin’s Island, SRE, LGED, Dhaka, Bangladesh, (May 2004) [Google Scholar]
  3. M. Grein, B. Nordell, A. Al Mathnani, Energy consumption and future potential of renewable energy in North Africa, Revue des Energies Renouvelables ICRESD-07 Tlemcen, (2007) 249–254. [Google Scholar]
  4. T. Chaichana, S. Chaitep, Wind power potential and characteristic analysis of Chiang Mai, Thailand, Journal of Mechanical Science and Technology, 24(7):1475–1479, (2010) [CrossRef] [Google Scholar]
  5. R. Pallabazzer, Parametric analysis of wind siting efficiency, J. Wind Eng. Indus. Aerod., 91:1329–52, (2003) [CrossRef] [Google Scholar]
  6. S. Rehman, Long-Term Wind Speed Analysis and Detection of its Trends Using Mann– Kendall Test and Linear Regression Method, Arabian Journal for Science and Engineering, 38(2):421–437, (2013) [CrossRef] [Google Scholar]
  7. D. K. Kidmo, R. Danwe, S. Y. Doka, N. Djongyang, Statistical analysis of wind speed distribution based on six Weibull Methods for wind power evaluation in Garoua, Cameroon, Revue des Energies Renouvelables, 18(1):105–125, (2015) [Google Scholar]
  8. A. Mostafaeipour, M. Jadidi, K. Mohammadi, A. Sedaghat, An Analysis of Wind Energy Potential and Economic Evaluation in Zahedan, Iran, Renewable and Sustainable Energy Reviews, 30:641–650, (2014) [CrossRef] [Google Scholar]
  9. A. N. Celik, Energy Output Estimation for Small-Scale Wind Power Generators Using Weibull-Representative Wind Data, Journal of Wind Engineering and Industrial Aerodynamics, 91(5): 693–707, (2003) [CrossRef] [Google Scholar]
  10. A. Roy, Reliable estimation of Density Distribution in Potential Wind Power Sites of Bangladesh, International Journal of Renewable Energy Research, 2(2), (2012) [Google Scholar]
  11. S. Rehman, Long-Term Wind Speed Analysis and Detection of its Trends Using Mann– Kendall Test and Linear Regression Method, Arabian Journal for Science and Engineering, 38(2):421–437, (2013) [CrossRef] [Google Scholar]
  12. K. Ulgen, A. Hepbasli, Determination of Weibull parameters for wind energy analysis of Izmir, Turkey. Int. J. Energy Res., 26(6):495–506, (2002) [CrossRef] [Google Scholar]
  13. A. K. Azad, M. M. Alam, A Statistical Tools for Clear Energy: Weibull’s Distribution for Potentiality Analysis of Wind Energy, International Journal of Advanced Renewable Energy Research, 1:240–247, (2012) [Google Scholar]
  14. E. H. Lysen, Introduction to Wind Energy, Consultancy Services Wind Energy Developing Countries, CWO 82, Second Edition, (1983) [Google Scholar]
  15. A. N. Celik, A Statistical Analysis of Wind Power Density Based on the Weibull and Rayleigh Models at the Southern Region of Turkey, Renewable Energy, 29(4):593–604, (2004) [Google Scholar]
  16. P. A. C. Rocha, R. C. o de Sousa, C. F. de Andrade, M. V. da Silva, Comparison of Seven Numerical Methods for Determining Weibull Parameters for Wind Energy Generation in the Northeast Region of Brazil, Applied Energy, 89(1):395–400, (2012) [CrossRef] [Google Scholar]
  17. C. G. Justus, W. R. Hargraves, A. Mikhail, D. Grabber, Methods for Estimating Wind Speed Frequency Distributions, Journal of Applied Leteorology, 17(3):350–353, (1978) [CrossRef] [Google Scholar]
  18. J. F. Manwell, J. G. McGowan, A. L. Rogers, Wind Energy Explained: Theory, Design and Application, John Wiley and Sons Ltd, (2002) [CrossRef] [Google Scholar]
  19. T. Burton, D. Sharpe, N. Jenkins, E. Bossanyi, Wind Energy Handbook, Chichester, UK: John Wiley & Sons, Ltd., (2001) [Google Scholar]
  20. Wind Turbines—Part. 12-1: Power Performance Measurements of Electricity Producing Wind Turbines; IEC 61400-12-1 Edition 1.0; International Electrotechnical Commission (IEC): Geneva, Switzerland, (2005) [Google Scholar]
  21. H. S. Bagiorgas, G. Mihalakakou, S. Rehman, L. M. Al-Hadhrami, Wind Power Potential Assessment for Seven Buoys Data Collection Stations in Aegean Sea Using Weibull Distribution Function, Journal of Renewable and Sustainable Energy, 4(1):013119–1–013119–16, (2012) [CrossRef] [Google Scholar]
  22. N. C. Ali, A Statistical Analysis of Wind power Density Based on The Weibull and Rayleigh Models at the Southern Region of Turkey. Renewable Energy, 29:593–604, (2003) [Google Scholar]

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