10.1007/s40095-014-0139-8

Wind resource assessment and wind power potential for the city of Ardabil, Iran

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  • Farivar Fazelpour1,
  • Nima Soltani*1,
  • Marc A. Rosen2,
  1. Department of Energy Systems Engineering, Faculty of Engineering, Islamic Azad University-South Tehran Branch, Tehran, IR
  2. Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, ON, CA
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Published in Issue 2014-09-20

How to Cite

Fazelpour, F., Soltani, N., & Rosen, M. A. (2014). Wind resource assessment and wind power potential for the city of Ardabil, Iran. International Journal of Energy and Environmental Engineering, 6(4 (December 2015). https://doi.org/10.1007/s40095-014-0139-8
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Abstract

Abstract The results of an investigation of the potential of wind energy as a power source are reported for an Iranian north-western city, Ardabil. The Weibull probability distribution function using a long-term data source, consisting of 6 years (2005–2010) of 3-h period measured mean wind data, is adopted and analyzed. The data have been measured at a height of 10 m above the ground level. Also, monthly and annual wind speed variations are analyzed. The monthly mean wind speed is between 2.09 and 6.58 m/s, while the annual mean wind speed is in the range of 3.28–4.08 m/s. The Ardabil site is found to have good characteristics from the perspective of mean wind speed. The numerical values of the shape and scale parameters for Ardabil are seen to vary over a wide range. The monthly mean value of shape parameter ( k ) is between 2.62 and 3.17, while the monthly mean value of the Weibull scale parameter ( c ) is between 3.36 and 5.43 m/s. The results show that the months of October and September have higher mean power densities and that July has a lower mean power density than other months. Also, the wind potential of the studied region is determined to be very suitable for the off-grid connections and could be acceptable for connecting to power grids.

Keywords

  • Clean energy,
  • Mean wind speed,
  • Power density,
  • Wind potential,
  • Weibull parameters
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References

  1. Meishen and Xiamguo (2005) Investigation of wind characteristics and assessment of wind energy potential for Waterloo region, Canada 46(18–19) (pp. 3014-3033)
  2. Sahin (2004) Progress and recent trends in wind energy (pp. 501-543) https://doi.org/10.1016/j.pecs.2004.04.001
  3. Alijani et al. (2008) Developing a climate model for Iran using GIS (pp. 103-112) https://doi.org/10.1007/s00704-006-0292-y
  4. Garrad (1991) The European Wind Energy Association Press
  5. Global
  6. wind energy
  7. council (GWEC) Global wind statistics. Brussels, Belgium (2013)
  8. Iranian Renewable Energy Organization (SUNA) Tehran, Iran. 2013.
  9. http://www.suna.org.ir/fa/wind/statistics
  10. . Accessed 08 Feb 2014
  11. Blanchard and Desrochers (1984) Generation of autocorrelated wind speeds for energy conversion system studies 33(6) (pp. 571-579) https://doi.org/10.1016/0038-092X(84)90013-6
  12. Conradsen et al. (1984) Review of Weibull statistics for estimation of wind speed distributions (pp. 1173-1183) https://doi.org/10.1175/1520-0450(1984)023<1173:ROWSFE>2.0.CO;2
  13. Cortis et al. (1978) Probabilities models of wind velocity magnitude and persistence (pp. 483-493) https://doi.org/10.1016/0038-092X(78)90065-8
  14. Sahin et al. (2005) The wind power potential of the eastern Mediterranean region of Turkey 93(2) (pp. 171-183) https://doi.org/10.1016/j.jweia.2004.11.005
  15. Keyhani et al. (2010) An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran 35(1) (pp. 188-201) https://doi.org/10.1016/j.energy.2009.09.009
  16. Onat and Ersoz (2011) Analysis of wind climate and wind energy potential of regions in Turkey 36(1) (pp. 148-156) https://doi.org/10.1016/j.energy.2010.10.059
  17. Mostafaeipour et al. (2013) Evaluation of wind energy potential as a power generation source for electricity production in Binalood, Iran (pp. 222-229) https://doi.org/10.1016/j.renene.2012.10.030
  18. Mostafaeipour (2010) Feasibility study of offshore wind turbine installation in Iran compared with the world (pp. 1722-1743) https://doi.org/10.1016/j.rser.2010.03.032
  19. Ghobadian et al. (2009) Future of renewable energies in Iran (pp. 689-695) https://doi.org/10.1016/j.rser.2007.11.010
  20. Mostafaeipour and Mostafaeipour (2009) Renewable energy issues and electricity production in Middle East compared with Iran (pp. 1641-1645) https://doi.org/10.1016/j.rser.2008.08.011
  21. Mostafaeipour and Abarghooei (2008) Harnessing wind energy at Manjil area located in north of Iran 12(6) (pp. 1758-1766) https://doi.org/10.1016/j.rser.2007.01.029
  22. Saeidi et al. (2011) Feasibility study of wind energy potential in two provinces of Iran: North and South Khorasan (pp. 3558-3569) https://doi.org/10.1016/j.rser.2011.05.011
  23. Mostafaeipour et al. (2011) Wind energy feasibility study for city of Shahrbabak in Iran 15(6) (pp. 2545-2556) https://doi.org/10.1016/j.rser.2011.02.030
  24. Jie et al. (2013) Wind energy potential assessment for the site of Inner Mongolia in China (pp. 215-228) https://doi.org/10.1016/j.rser.2012.12.060
  25. From Wikipedia the free encyclopaedia, Wind power.
  26. http://en.wikipedia.org/wiki/Ardabil
  27. . Accessed 08 Feb 2014
  28. Chang et al. (2003) Assessment of wind characteristics and wind turbine characteristics in Taiwan (pp. 851-871) https://doi.org/10.1016/S0960-1481(02)00184-2
  29. Ouammi et al. (2010) Monthly and seasonal assessment of wind energy characteristics at four monitored locations in Liguria region (Italy) (pp. 1959-1968) https://doi.org/10.1016/j.rser.2010.04.015
  30. Kwon (2010) Uncertainty analysis of wind energy potential assessment (pp. 856-865) https://doi.org/10.1016/j.apenergy.2009.08.038
  31. Jamil et al. (1995) Wind power statistics and evaluation of wind energy density (pp. 623-628) https://doi.org/10.1016/0960-1481(95)00041-H
  32. Celik (2004) Statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey (pp. 593-604) https://doi.org/10.1016/j.renene.2003.07.002
  33. Ambrosini et al. (1992) Wind energy potential in Emilia Romagna, Italy (pp. 211-220) https://doi.org/10.1016/0167-6105(92)90547-N