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Journal of Applied Science & Engineering

Dhaka University Journal of Applied Science & Engineering

Issue: Vol. 6, No. 2, July 2021
Title: Wind speed Weibull distribution and wind energy potential of Chandpur, Bangladesh
  • Himangshu Ranjan Ghosh
    Institute of Energy, University of Dhaka, Dhaka-1000, Bangladesh
Keywords: Weibull distribution, Wind energy, Wind power density, Most probable wind speed, Wind speed with maximum energy, Wind power class, Capacity factor

Weibull distribution goes particularly well with wind speed data and is necessary to assess wind energy harnessing potential at a site. For the best estimation of the statistical distribution parameters at Chandpur (23.21116° N; 90.64237° E), located at the southern part of Bangladesh, six models: graphical method, method of moments, power density method, Justus method, Lysen method and maximum likelihood method have been analyzed for 18.8 m, 40.2 m and 59.9 m above ground level (AGL) using measured wind speed data for 2014-2017. Out of the six models, Justus method has showed the best result for estimation of Weibull parameters at all heights AGL with average RMSE of 0.0082 and R2 of 0.9650. Further more to evaluate the wind energy potential at modern wind turbine hub height of 100 m, firstly the wind shear exponent at the site (the average value is 0.37 considering the 10 m elevation of the site above sea level) is estimated from the wind data of 3 heights; secondly average wind speed (4.88 m/s), wind power density (108.8 Wm-2), Weibull distribution parameters (shape factor 2.29 and scale factor 5.33 m/s) and wind turbine power curve related wind speeds (cut in 2.28 m/s, rated 9.33 m/s and cut out 21.03 m/s)have been extrapolated at the hub height. The average wind speed and wind power density values show that the class of the site is 1 in the worldwide accepted wind power classification, based on long term practical wind farm installation experiences; the low cut in speed (<3 m/s) shows that suitable wind turbines for the site are commercially unavailable for the site and turbines with 3 m/s cut in speed have average annual capacity factor of 16.62 %, less than the commercially viable capacity factor >25 %. The wind power class (< class 3) and capacity factor (<25 %) strictly reveals that Chandpur is not suitable for wind energy exploration in near future until a high technical improvement of wind turbines and reduction of relevant costs

  1. J. A. Carta, P. Ramirez and S. Velazquez, "A review of wind speed probability distributions used in wind energy analysis," Renewable and Sustainable Energy Reviews, vol. 13, pp. 933–955, 2009
  2. R. Belu and D. Koracin, "Wind characteristics and wind energy potential in western Nevada," Renewable Energy , vol. 34, pp. 2246–2251, 2009.
  3. M. Gokcek and M. S. Genc, "Evaluation of electricity generation and energy cost of wind energy conversion systems (WECSs) in Central Turkey," Applied Energy, vol. 86, pp. 2731–2739, 2009.
  4. Ali Mostafaeipour, "Feasibility study of harnessing wind energy for turbine installation in province of Yazdin Iran," Renewable and Sustainable Energy Reviews, vol. 14, pp. 93–111, 2010.
  5. S. Diaf and G. Notton, "Technical and economic analysis of large-scale wind energy conversion systems in Algeria," Renewable and Sustainable Energy Reviews, vol. 19, pp. 37–51, 2013.
  6. A. Keyhani, M. Ghasemi-Varnamkhasti, M. Khanali and R. Abbaszadeh, "An assessment of wind energy potential as a power generation source in the capitalof Iran, Tehran," Energy, vol. 35, pp. 188-201, 2010.
  7. I. Y. F. Lun and J. C. Lam, "A study of Weibull parameters using long-term wind observation," Renewable Energy, vol. 20, pp. 145–153, 2000.
  8. A. Ucar and F. Balo, "Assessment of wind power potential for turbine installation in coastal areas of Turkey," Renewable and Sustainable Energy Reviews, vol. 14, pp. 1901–1912, 2010.
  9. https://en.wikipedia.org/wiki/Weibull_distribution, accessed on 29 September 2021.
  10. A. Parajuli, "A Statistical Analysis of Wind Speed and Power Density Based on Weibull and Rayleigh Models of Jumla, Nepal," Energy and Power Engineering, vol. 8, pp. 271-282, 2016.
  11. N. Eskin, H. Artar and S.Tolun, "Wind energy potential of Gökçeada Island in Turkey," Renewable and Sustainable Energy Reviews, vol. 12, no. 3, pp. 839-851, 2008.
  12. A. Mostafaeipour, A. Sedaghat, A. A. Dehghan-Niri and V. Kalantar, "Wind energy feasibility study for city of Shahrbabak in Iran," Renewable and Sustainable Energy Reviews, vol. 15, pp. 2545– 2556, 2011.
  13. E. K. Akpinar and S. Akpinar, "Determination of the wind energy potential for Maden, Turkey," Energy Conversion and Management, vol. 45, pp. 2901–2914, 2004.
  14. B. K. Saxena and K. V. S. Rao, "Estimation of wind power density at a wind farm site located in Western Rajasthan region of India," Procedia Technology, vol. 24, pp. 492 –498, 2016.
  15. C. G. Justus, W. R. Hargraves, A. Mikhail and D. Graber, "Methods for estimating wind speed frequency distributions," J. Appl. Meteorol. Vol. 17, pp. 350-353, 1977.
  16. M. Jamil, S. Parsa and M. Majidi, "Wind power statistics and evaluation of wind energy density," Renew Energ, vol. 6, pp. 623–628, 1995.
  17. K. Mohammadi and A. Mostafaeipour, "Using different methods for comprehensive study of wind turbine utilization," Energy Conversion and Management, vol. 65, pp. 463-470, 2013.
  18. M.Rasul, A. Azad and S. Sharma, Clean Energy for Sustainable Development.Central Queensland University, Melbourne campus, Melbourne, Australia: Academic Press, 2017.
  19. G. L. Johnson, Wind Energy Systems. Manhattan, KS, USA: Kansas State University, 2006.
  20. C. G, Justus and A. Mikhail, "Height variation of wind speed and wind distribution statistics," Geophys Res Lett, vol. 3, pp. 261–264, 1976.
  21. K. Mohammadi, O. Alavi, A. Mostafaeipour, N. Goudarzi and M. Jalilvand, "Assessing different parameters estimation methods of Weibull distribution to compute wind power density," Energy Convers. Manag., vol. 108, pp. 322–335, 2016.
  22. S. A. Akdağ and A. Dinler, "A new method to estimate Weibull parameters for wind energy applications," Energy Convers Manage, vol. 50, pp. 1761–1766, 2009.
  23. R. J. Rossi, Mathematical Statistics: An Introduction to Likelihood Based Inference. New York: John Wiley & Sons, 2018.
  24. F. Nwobi and C. A. Ugomma, "A Comparison of Methods for the Estimation of Weibull Distribution Parameters," Metodološki zvezki, vol. 11, no. 1, pp. 65-78, 2014.
  25. J. H. Gove, "Moment and maximum likelihood estimators for Weibull distributions under length-and area-biased sampling," Environ. Ecol. Stat. , vol. 10, pp. 455–467, 2003.
  26. A. Kalam Azad, M. G. Rasul and T. Yusaf, "Statistical Diagnosis of the Best Weibull Methods for Wind Power Assessment for Agricultural Applications," Energies, vol. 7, pp. 3056-3085, 2014.
  27. R. A. Fisher, "Frequency distribution of the values of the correlation coefficient in samples from an indefinitely large population," Biometrika, London, vol. 10, pp. 507–521, 1915.
  28. S. Mathew, Wind energy: fundamentals, resource analysis and economics. Berlin, Heidelberg: Springer, 2006.
  29. J. F. Manwell, J. G. Mcgowan and A. L. Rogers, Wind energy explained: theory, design and application. Amherst (USA): John Wiley & Sons, 2002.
  30. S. Rehman and N. M. Al-Abbadi, “Wind shear coefficient, turbulence intensity and wind power potential assessment for Dhulom, Saudi Arabia,”Renewable Energy, vol. 33, no. 12, pp. 2653–2660, 2008.
  31. E. Simiu and D. Yeo, Wind Effects on Structures. New York: Wiley, 1978.
  32. G. Hellman, "Uber die Bewegung der Luft in den untersten Schichten der Atmosphere," Meteorol Z, vol. 34, pp. 273-285, 1916.
  33. J. W. Reed, "Wind Power Climatology," Weather wise, vol. 27, pp. 237-242, 1974.
  34. A. G. Davenport, "The Relationship of Wind Structure to Wind Loading," Proc. of conf. on wind effects on structures, London, England, 1963.
  35. D. A. Spera, Wind Turbine Technology: Fundamental Concepts of Wind Turbine Engineering. New York: ASME Press, 2009.
  36. J. Counihan, "Adiabatic atmospheric boundary layers: a review and analysis of data collected from the period 1880-1972," Atmos Environ , vol. 9, pp. 871-905, 1975.
  37. M. Al-buhairi, "Assessment and analysis of wind power density in Taiz-Republic of Yemen," Assiut Univ Bull Environ Res , vol. 9, pp. 13-21, 2006.
  38. S. H. Pishgar-Komleh, A. Keyhani and P. Sefeedpari, "Wind speed and power density analysis based on Weibull and Rayleigh distributions, A case study: Firouzkooh county of Iran," Renew Sustain Energy Rev, vol. 42, pp. 313-322, 2015.
  39. C. Carrillo, J. Cidrás, E. Díaz-Dorado and A. F. Obando-Montaño, "An approach to determine the Weibull parameters for wind energy analysis: The case of Galicia (Spain)," Energies, vol. 7, pp. 2676-2700, 2014.
  40. K. A. Nigim and P. Parker, "Heuristic and Probabilistic Wind power Availability Estimation Procedures: Improved Tools For Technology and Site Selection," Renewable Energy, vol. 32, pp. 638-648, 2007.
  41. D. Kang, K. Ko and J. Huh, "Comparative Study of Different Methods for EstimatingWeibull Parameters: A Case Study on Jeju Island, South Korea," Energies, vol. 11, pp. 1-19, 2018.
  42. M. S. Adaramola, M. Agelin-Chaab and S. S. Paul, “Assessment of wind power generation along the coast of Ghana,” Energy Conversion and Management, vol. 77, pp. 61–69, 2014.
  43. E. KavakAkpinar and S. Akpinar, “An assessment onseasonal analysis of wind energy characteristics and wind turbine characteristics,” Energy Conversion and Management, vol. 46, pp. 1848–1867, 2005.
  44. M. Jacobson, C. Draxl, T. Jimenez, B. O’Neill, T. Capozzola, J. A. Lee, F. Vandenberghe, and S. E. Haupt, "Assessing the Wind Energy Potential in Bangladesh: Enabling Wind Energy Development with Data Products," United States of America: National Renewable Energy Laboratory (NREL), 2018.
  45. AWS Scientific, Wind resource assessment handbook: Fundamentals for conducting a successful monitoring program, Golden, USA: National Renewable Energy Laboratory, 1997.
  46. W. F. S. Elliott, "Wind Energy Resource Atlas of the United States," Colorado:Solar Energy Research Institute, 1987.
  47. D. Elliott and M. Schwartz, "Wind Energy Potential in the United States," Proceedings of the Project Energy ’93: Real Energy Technologies—Environmentally Responsible—Ready for Today, Independance, MO, USA, 1993.
  48. X. Yu and H. Qu, "Wind power in China—Opportunity goes with challenge," Renew. Sustain.Energy Rev. , vol. 14, pp. 2232–2237, 2010.
  49. W. Zhou, H. Yang and Z. Fang, "Wind power potential and characteristic analysis of the Pearl River Delta region, China," Renew. Energy, vol. 31, pp. 739–753, 2006.
  50. Oluseyi O. Ajayi, Olorunfemi Ojo and Ahmed Vesel, "On the need for the development of low wind speed turbine generator system," IOP Conf. Series: Earth and Environmental Science, 2019.