Determination of Weibull Parameter by Four Numerical Methods and Prediction of Wind Speed in Jiwani (Balochistan)

Authors

  • Junaid K. Khan N. E. D University, Karachi, Pakistan
  • Feroz Ahmed University of Karachi, Main University Road, Karachi – 75270, Pakistan
  • Zaheer Uddin University of Karachi, Karachi, Pakistan
  • S. Tanweer Iqbal D. J. Govt. Science College, Karachi, Pakistan
  • Saif Uddin Jilani University of Karachi, Main University Road, Karachi – 75270, Pakistan
  • Afaq Ahmed Siddiqui University of Karachi, Karachi, Pakistan
  • Asim Aijaz University of Karachi, Main University Road, Karachi – 75270, Pakistan

DOI:

https://doi.org/10.6000/1927-5129.2015.11.08

Keywords:

 Wind energy, Weibull distribution, Weibull Parameters.

Abstract

In this paper we determine the Weibull parameters (k and c) using four methods. Method of Moments, Empirical Method, Energy Pattern Method and Maximum likelihood Method have been employed to determine and compare the values of k and c. The daily wind speed data (obtained from Karachi Meteorological office) of Jiwani (Balochistan, Pakistan) town over a period of 10 years (1998-2007) is used to estimate the Weibull parameters. The mean wind speed was predicted using k and c by four methods. A significant agreement is found in measured and predicted mean wind speed.

References

Sathyajith M. Wind Energy: Fundamentals, Resource Analysis and Economics, Springer-Verlag, Berlin 2006.

Ahmed F, et al. Assessment of wind energy potential for coastal locations of Pakistan. Turkish J Phys 2006; 30: 127-135.

Alnaser WE, Al Karaglisuli A. Renewable Energy 2000; 21: 247. http://dx.doi.org/10.1016/S0960-1481(00)00072-0

Alnaser WE. Renewable Energy 1993; 3(2/3): 185. http://dx.doi.org/10.1016/0960-1481(93)90018-C

World Wind Energy report, WWEA, Germany 2011.

Cartaa JA, Ramírezb P, Velázquezc S. A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands. Renewable and Sustainable Energy Reviews 2009; 13(5): 933-955. http://dx.doi.org/10.1016/j.rser.2008.05.005

Akdaga SA, Dinlerb A. A new method to estimate Weibull parameters for wind energy applications. Energy Conversion and Management 2009; 50(7): 1761-1766. http://dx.doi.org/10.1016/j.enconman.2009.03.020

Stevens MJM, Smulders PT. The estimation of the parameters of the Weibull wind speed distribution for wind energy utilization purposes. Wind Engineering 1979; 3(2): 132-145.

Weisser D. A wind energy analysis of Grenada: an estimation using the ‘Weibull’ density function. Renewable Energy 2003; 28(11): 1803-1812. http://dx.doi.org/10.1016/S0960-1481(03)00016-8

Seguro JV, Lambertb TW. Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis. Journal of Wind Engineering and Industrial Aerodynamics 2000; 85(1): 75-84. http://dx.doi.org/10.1016/S0167-6105(99)00122-1

Ulgen K, Hepbasli A. Determination of Weibull parameters for wind energy analysis of Izmir, Turkey. International Journal of Energy Research 2002; 26(6): 495-506.

Celik AN. A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey. Renewable Energy 2004; 29(4): 593-604. http://dx.doi.org/10.1016/j.renene.2003.07.002

Lun IYF, Lam JC. A study of Weibull parameters using long-term wind observations. Renewable Energy 2000; 20(2): 145-153.

Islama MR, Saidura R, Rahima NA. Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function. Energy 2011; 36(2): 985-992. http://dx.doi.org/10.1016/j.energy.2010.12.011

Rinne H. The Weibull distribution A Handbook, CRC press, New York 2008. http://dx.doi.org/10.1201/9781420087444

Stevens MJM, Smulders PT. The estimation of the parameters of the Weibull wind speed distribution for wind energy utilization purposes. Wind Eng 1979; 3: 132-45.

Justus CG, Hargraves WR, Mikhail A, Graber D. Methods for estimating wind speed frequency distributions. J Appl Meteorol 1978, 17: 350-3. http://dx.doi.org/10.1175/1520-0450(1978)017<0350:MFEWSF>2.0.CO;2

Kaoga DK, Raidandi D, Djongyang N, Doka SY. Comparison of Five Numerical Methods for Estimating Weibull Parameters for Wind Energy Applications in the District of Kousseri, Cameroon. Asian Journal of Natural & Applied Sciences 2014; 3(1): 72.

Ahmad. Observations on the Waterbirds of Jiwani Wetland Complex, Makran Coast (Balochistan). Pakistan J Zool 2005; 37(4): 301-306.

Downloads

Published

2015-01-05

How to Cite

Junaid K. Khan, Feroz Ahmed, Zaheer Uddin, S. Tanweer Iqbal, Saif Uddin Jilani, Afaq Ahmed Siddiqui, & Asim Aijaz. (2015). Determination of Weibull Parameter by Four Numerical Methods and Prediction of Wind Speed in Jiwani (Balochistan). Journal of Basic & Applied Sciences, 11, 62–68. https://doi.org/10.6000/1927-5129.2015.11.08

Issue

Section

Physics