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Evaluation of wind power potential in Baburband (Pakistan) using Weibull distribution function

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  • Shoaib, Muhammad
  • Siddiqui, Imran
  • Amir, Yousaf Muhammad
  • Rehman, Saif Ur

Abstract

Time series wind speed data for Baburband (Pakistan) measured in each 10-min interval at five different mast heights viz. 81.5m, 80m, 60m, 30m and 10m is available for the period May 2008 to April 2011. Calculations are performed separately for each individual year and for the combined three years period on all heights except at 10m. Weibull Distribution (WD) function is used to determine wind power potential for the investigated site and the distribution parameters shape (k) and scale (c) are estimated by using four statistical methods viz. Maximum Likelihood Method (MLM), Method of Moments (MoM), Energy Pattern Factor Method (EPFM) and Power Density Method (PDM). Weibull mean velocity (Vm) and Weibull Power Density (WPD) calculated for the heights 81.5–30m range from 6.78 to 4.89m/s and 309.10W/m2 to 138.45W/m2.R2 and RMSE tests having values of ca. (the abbreviation for circa meaning approximately) 0.992 and 10−4 respectively, show reliability of the fitted distribution function and accuracy of the estimation methods. Furthermore, the tests results also indicate that MoM and PDM are more reliable in estimating WD parameters. The study revealed that a wind power potential of ca. 278W/m2 is available at Baburband site, obtained after a deduction of 10% in maximum estimated value.

Suggested Citation

  • Shoaib, Muhammad & Siddiqui, Imran & Amir, Yousaf Muhammad & Rehman, Saif Ur, 2017. "Evaluation of wind power potential in Baburband (Pakistan) using Weibull distribution function," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1343-1351.
    • Handle: RePEc:eee:rensus:v:70:y:2017:i:c:p:1343-1351
    DOI: 10.1016/j.rser.2016.12.037
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    1. Jowder, Fawzi A.L., 2009. "Wind power analysis and site matching of wind turbine generators in Kingdom of Bahrain," Applied Energy, Elsevier, vol. 86(4), pages 538-545, April.
    2. Sulaiman, M.Yusof & Akaak, Ahmed Mohammed & Wahab, Mahdi Abd & Zakaria, Azmi & Sulaiman, Z.Abidin & Suradi, Jamil, 2002. "Wind characteristics of Oman," Energy, Elsevier, vol. 27(1), pages 35-46.
    3. Sopian, K. & Othman, M.Y.Hj. & Wirsat, A., 1995. "The wind energy potential of Malaysia," Renewable Energy, Elsevier, vol. 6(8), pages 1005-1016.
    4. Mathew, Sathyajith & Pandey, K.P. & Kumar.V, Anil, 2002. "Analysis of wind regimes for energy estimation," Renewable Energy, Elsevier, vol. 25(3), pages 381-399.
    5. Kucukali, Serhat & Dinçkal, Çiğdem, 2014. "Wind energy resource assessment of Izmit in the West Black Sea Coastal Region of Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 790-795.
    6. Ucar, Aynur & Balo, Figen, 2009. "Investigation of wind characteristics and assessment of wind-generation potentiality in Uludag-Bursa, Turkey," Applied Energy, Elsevier, vol. 86(3), pages 333-339, March.
    7. Kwon, Soon-Duck, 2010. "Uncertainty analysis of wind energy potential assessment," Applied Energy, Elsevier, vol. 87(3), pages 856-865, March.
    8. Zhou, Wei & Yang, Hongxing & Fang, Zhaohong, 2006. "Wind power potential and characteristic analysis of the Pearl River Delta region, China," Renewable Energy, Elsevier, vol. 31(6), pages 739-753.
    9. Lun, Isaac Y.F & Lam, Joseph C, 2000. "A study of Weibull parameters using long-term wind observations," Renewable Energy, Elsevier, vol. 20(2), pages 145-153.
    10. Chang, Tsang-Jung & Wu, Yu-Ting & Hsu, Hua-Yi & Chu, Chia-Ren & Liao, Chun-Min, 2003. "Assessment of wind characteristics and wind turbine characteristics in Taiwan," Renewable Energy, Elsevier, vol. 28(6), pages 851-871.
    11. Chang, Tian Pau, 2011. "Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application," Applied Energy, Elsevier, vol. 88(1), pages 272-282, January.
    12. Thiaw, L. & Sow, G. & Fall, S.S. & Kasse, M. & Sylla, E. & Thioye, S., 2010. "A neural network based approach for wind resource and wind generators production assessment," Applied Energy, Elsevier, vol. 87(5), pages 1744-1748, May.
    13. Lai, Chi-ming & Lin, Ta-hui, 2006. "Technical assessment of the use of a small-scale wind power system to meet the demand for electricity in a land aquafarm in Taiwan," Renewable Energy, Elsevier, vol. 31(6), pages 877-892.
    Full references (including those not matched with items on IDEAS)

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