DOI QR코드

DOI QR Code

A bimodal Weibull distribution - capacity factor for different heights at sulur

  • Seshaiah, C.V. (Department of Basic Science & Humanities, GMR Institute of Technology) ;
  • Indhumathy, D. (Department of Mathematics, Sri Ramakrishna Engineering College)
  • 투고 : 2017.11.07
  • 심사 : 2018.09.18
  • 발행 : 2019.01.25

초록

Due to developing environmental concern use of renewable energy source is very essential. The great demand for the energy supply coupled with inadequate energy sources creates an emergency to find a new solution for the energy shortage. The appropriate wind energy distribution is the fundamental requirement for the assessment of wind energy potential available at the particular site essential for the design of wind farms. Hence the proper specification of the wind speed distribution plays a vital role. In this paper the Bimodal Weibull distribution is used to estimate the Capacity factor at the proposed site. The shape and scale parameters estimated using Maximum likelihood method is used as the initial value for extrapolation. Application of this model will give an accurate result overwhelming the concept of overestimation or underestimation of Capacity factor.

키워드

참고문헌

  1. Ahmed, S.A. (2013), "Comparitive study of four methods of estimating Weibull parameters for Halabja, Iraq", IJPS, 8(5), 186-192.
  2. Akdag, S.A. and Ali, D. (2009), "A new method to estimate Weibull parameters for Wind energy applications", Energ. Convers. Manage , 50, 1761-1766. https://doi.org/10.1016/j.enconman.2009.03.020
  3. Burton, T., Sharpe, D., Jenkins, N. and Bossanyi, E. (2007), Wind Energy Handbook, Wiley I Edition, New York.
  4. Camilo C., Cidras, J., Diaz-Dorado, E. and Obando-Montano, A.F. (2014), "An approach to determine the Weibull parameters for wind energy analysis: The case of Galicia (Spain)", Energies, 7, 2676-2700. https://doi.org/10.3390/en7042676
  5. Carta, J.A. and Ramirez, P. (2007), "Analysis of two-component mixture Weibull statistics for estimation of Wind speed distributions", Renew. Energ., 32,518-531. https://doi.org/10.1016/j.renene.2006.05.005
  6. Celik, A.N. (2004), "On the distribution parameters used in assessment of the suitability of wind speed probability density functions", Energ. Convers. Manage., 45(11), 1735-1747. https://doi.org/10.1016/j.enconman.2003.09.027
  7. Chalamcharla, S.C.V. and Indhumathy, D. (2016), "Mathematical modeling of wind power estimation using multiple parameter Weibull distribution", Wind Struct., 23(4), 351-366. https://doi.org/10.12989/was.2016.23.4.351
  8. Jaramillo, O.A. and Borja, M.A. (2004), "Wind speed analysis in La Ventosa, Mexico: a bimodal probability distribution case", Renew Energ., 29, 1613-1630. https://doi.org/10.1016/j.renene.2004.02.001
  9. Justu, C.G. and Mikhilai, A. (1976), "Height variation of wind speed and wind Distribution statistics", Geophys. Res. Lett., 3, 261- 264. https://doi.org/10.1029/GL003i005p00261
  10. Murthy, K.S.R. and Rahi O.P. (2015), "Vertical extrapolation of Weibull parameters and Wind energy potential estimation of Himachal Pradesh, India", India Conference, INDICON, Annual EEE, India.
  11. Park, J. (1981), The wind power book, Cheshire Books.
  12. Patel, M.R. (2006), Wind and solar power systems-design, analysis and operation, second Ed., New York: CRCPress.
  13. Rehman, S. and Ahmad, A. ( 2004), "Assesment of wind energy and capacity factor calculations for two locations of Saudi Arabia", Proceedings of the 2nd BSME-ASME international Conference On Thermal Engineering, 2, Dhaka, Bangladesh, BUET , 906-911.
  14. Sedghi, M., Hannani, S.M. and Boroushaki, M. (2015), "Estimation of Weibull parameters for wind energy application in Iran", Wind Struct., 21(2), 203-221. https://doi.org/10.12989/was.2015.21.2.203
  15. Seshaiah, C.V and Indhumathy, D. (2017), "Analysis of wind speed at Sulur - a bimodal Weibull & Weibull distribution", IJLEMR, 2(10), 29-37.
  16. Tian Pau, C. (2011), "Estimation of wind energy potential using different probability density functions", Appl. Energ., 88(5), 1848-1856. https://doi.org/10.1016/j.apenergy.2010.11.010
  17. Ulgen K and Hepbasli A. (2002), "Determination of Weibull parameters for wind energy analysis of Izmir", Turkey. Int. J. Energ. Res., 26, 495-506. https://doi.org/10.1002/er.798
  18. Waleed, I.J.A.L.R.F. and Hamam, M. (2016), "Analysis of wind power density in Ninava Governorate/IRAQ", Int. J. Latest Res. Eng. Technol., 2(1), 56-65.