Research Article
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Year 2019, Volume: 9 Issue: 1, 99 - 113, 30.06.2019
https://doi.org/10.36222/ejt.570865

Abstract

References

  • [1] Kaplan, Y. A. “Evaluation of Wind Energy in Osmaniye Region Using Rayleigh and Weibull Distributions”, Süleyman Demirel University, Journal of Natural and Applied Sciences Volume 20, Issue 1, 2016, 62-71
  • [2] Karadenizli A, Eker M .K., “Determination of Weibull function parameters by using 6 different methods by using the data of Balıkesir-Balya meteorological station”, Dokuz Eylül University Faculty of Engineering Science and Engineering Journal, Volume 17, Issue 3, 2015, s.163-175
  • [3] Hepbasli A, Ozgener O. “A review on the development of wind energy in Turkey”. Renewable & Sustainable Energy Reviews 2004; 8(3): 257-276.
  • [4] Akpınar E. K, Balpetek N., “Statistical analysis of wind energy potential of Elazığ province according to Weibull and Rayleigh distributions”, Journal of the Faculty of Engineering and Architecture of Gazi University 34:1 (2019) 569-580
  • [5] Turksoy F. “Investigation of wind power potential at Bozcaada, Turkey”. Renewable Energy, 6(8), 917-923, 1995.
  • [6] Tolun S, Mentes S, Aslan Z, Yukselen MA. “The wind energy potential of Gokceada in the northern Aegean sea”. Renewable Energy, 6(7), 679-685, 1995.
  • [7] Eskin N, Artar H, Tolun S. “Wind energy potential of Gokceada Island in Turkey”. Renewable & Sustainable Energy Reviews, 12(3), 839-851, 2008.
  • [8] Incecik S, Erdogmus F. “An investigation of the wind power potential on the western coast of Anatolia”. Renewable Energy, 6(7), 863-865, 1995.
  • [9] Sen Z, Sahin AD. “Regional assessment of wind power in western Turkey by the cumulative semivariogram method”. Renewable Energy, 12(2), 169-177, 1997.
  • [10] Durak M, Sen Z. “Wind power potential in Turkey and Akhisar case study”. Renewable Energy, 25(3), 463-472, 2002.
  • [11] Karsli VM, Gecit C. “An investigation on wind power potential of Nurdagi-Gaziantep, Turkey”. Renewable Energy, 28(5), 823-830, 2003.
  • [12] Bilgili M, Sahin B, Kahraman A. “Wind energy potential in Antakya and Iskenderun Regions, Turkey”. Renewable Energy, 29(10), 1733-1745, 2004.
  • [13] Akpinar E.K. “A statistical investigation of wind energy potential”. Energ Source Part A, 28(9), 807-820, 2006.
  • [14] Gokcek M, Bayulken A, Bekdemir S. “Investigation of wind characteristics and wind energy potential in Kirklareli, Turkey”. Renewable Energy, 32(10), 1739-1752, 2007.
  • [15] Kentli F., and Yılmaz M. "Obtaining the optimum efficiency electrical energy under Diyarbakir conditions using solar tracking system involving PV panel." Energy Education Science and Technology Part A 30 (2012): 613-620.
  • [16] Yılmaz, M., and Kentli F. "Increasing of electrical energy with solar tracking system at the region which has Turkey’s most solar energy potential." Journal of Clean Energy Technologies 3.4 (2015): 287-290.
  • [17] Yilmaz M. "Real Measure of a Transmission Line Data with Load Fore-cast Model for The Future." Balkan Journal of Electrical and Computer Engineering 6.2: 73-77.
  • [18] Akkılıç K., Ocak Y.S. and Yılmaz M. "Analysing enhancement of electricity generating capacity with solar tracking system of the most sunning region of Turkey." Journal of Clean Energy Technologies 3.4 (2015): 291-295.
  • [19] Ucar A, Balo F. “A seasonal analysis of wind turbine characteristics and wind power potential in Manisa, Turkey”. International Journal of Green Energy, 5(6), 466-479, 2008.
  • [20] Gungor A, Eskin N. “The characteristics that define wind as an energy source”. Energy Source Part A, 30(9), 842-855, 2008.
  • [21] Sahin B, Bilgili, M. “Wind characteristics and energy potential in Belen-Hatay, Turkey”. International Journal of Green Energy, 6(2), 157-172, 2009.
  • [22] Ucar A, Balo, F. “Investigation of wind characteristics and assessment of wind-generation potentiality in Uludağ-Bursa, Turkey”. Applied Energy, 86(3), 333-339, 2009.
  • [23] İmal M., Şekkeli M., Yıldız C. “Kahramanmaran Sütçü İmam University Wind energy potential research and evaluation in main campus”, KSU Journal of Engineering Sciences, Volume 15, Issue. 2, 2012.
  • [24] Balpetek N., “Use of Weibull and Rayleigh distributions to investigate the potential of wind energy”, Fırat University, Master Thesis, Elazığ, 2017.

THE EVALUATING OF WIND ENERGY POTENTIAL OF DİYARBAKIR USING WEIBUL AND RAYLEIGH DISTRIBUTION

Year 2019, Volume: 9 Issue: 1, 99 - 113, 30.06.2019
https://doi.org/10.36222/ejt.570865

Abstract

In
comparison to fossil fuel that pollutes the lower layer of the atmosphere, wind
energy is an alternative clean source of energy. Wind speed is the parameter
with primary importance in designing and studying the wind energy conversion
systems. In this study, the
statistical analysis of the parameters of wind power density and wind speed
distribution was investigated using the wind speed data of Diyarbakır province
between the years 2014 and 2018 that were hourly measured by the General
Directorate of Meteorology. Wind
data are used to derive probability distributions, and their distributional
parameters are determined. Two probability density functions are suited to the
measured probability distributions on a yearly basis. The Weibull and the
Rayleigh models are used to analyze the wind energy potential of the location. This modeling process was evaluated
according to
R2, RMSE and c2
parameters. In conclusion, the values obtained by the Weibull model gave better
results than the values obtained by the Rayleigh model in the wind data
analysis of Diyarbakır province.

References

  • [1] Kaplan, Y. A. “Evaluation of Wind Energy in Osmaniye Region Using Rayleigh and Weibull Distributions”, Süleyman Demirel University, Journal of Natural and Applied Sciences Volume 20, Issue 1, 2016, 62-71
  • [2] Karadenizli A, Eker M .K., “Determination of Weibull function parameters by using 6 different methods by using the data of Balıkesir-Balya meteorological station”, Dokuz Eylül University Faculty of Engineering Science and Engineering Journal, Volume 17, Issue 3, 2015, s.163-175
  • [3] Hepbasli A, Ozgener O. “A review on the development of wind energy in Turkey”. Renewable & Sustainable Energy Reviews 2004; 8(3): 257-276.
  • [4] Akpınar E. K, Balpetek N., “Statistical analysis of wind energy potential of Elazığ province according to Weibull and Rayleigh distributions”, Journal of the Faculty of Engineering and Architecture of Gazi University 34:1 (2019) 569-580
  • [5] Turksoy F. “Investigation of wind power potential at Bozcaada, Turkey”. Renewable Energy, 6(8), 917-923, 1995.
  • [6] Tolun S, Mentes S, Aslan Z, Yukselen MA. “The wind energy potential of Gokceada in the northern Aegean sea”. Renewable Energy, 6(7), 679-685, 1995.
  • [7] Eskin N, Artar H, Tolun S. “Wind energy potential of Gokceada Island in Turkey”. Renewable & Sustainable Energy Reviews, 12(3), 839-851, 2008.
  • [8] Incecik S, Erdogmus F. “An investigation of the wind power potential on the western coast of Anatolia”. Renewable Energy, 6(7), 863-865, 1995.
  • [9] Sen Z, Sahin AD. “Regional assessment of wind power in western Turkey by the cumulative semivariogram method”. Renewable Energy, 12(2), 169-177, 1997.
  • [10] Durak M, Sen Z. “Wind power potential in Turkey and Akhisar case study”. Renewable Energy, 25(3), 463-472, 2002.
  • [11] Karsli VM, Gecit C. “An investigation on wind power potential of Nurdagi-Gaziantep, Turkey”. Renewable Energy, 28(5), 823-830, 2003.
  • [12] Bilgili M, Sahin B, Kahraman A. “Wind energy potential in Antakya and Iskenderun Regions, Turkey”. Renewable Energy, 29(10), 1733-1745, 2004.
  • [13] Akpinar E.K. “A statistical investigation of wind energy potential”. Energ Source Part A, 28(9), 807-820, 2006.
  • [14] Gokcek M, Bayulken A, Bekdemir S. “Investigation of wind characteristics and wind energy potential in Kirklareli, Turkey”. Renewable Energy, 32(10), 1739-1752, 2007.
  • [15] Kentli F., and Yılmaz M. "Obtaining the optimum efficiency electrical energy under Diyarbakir conditions using solar tracking system involving PV panel." Energy Education Science and Technology Part A 30 (2012): 613-620.
  • [16] Yılmaz, M., and Kentli F. "Increasing of electrical energy with solar tracking system at the region which has Turkey’s most solar energy potential." Journal of Clean Energy Technologies 3.4 (2015): 287-290.
  • [17] Yilmaz M. "Real Measure of a Transmission Line Data with Load Fore-cast Model for The Future." Balkan Journal of Electrical and Computer Engineering 6.2: 73-77.
  • [18] Akkılıç K., Ocak Y.S. and Yılmaz M. "Analysing enhancement of electricity generating capacity with solar tracking system of the most sunning region of Turkey." Journal of Clean Energy Technologies 3.4 (2015): 291-295.
  • [19] Ucar A, Balo F. “A seasonal analysis of wind turbine characteristics and wind power potential in Manisa, Turkey”. International Journal of Green Energy, 5(6), 466-479, 2008.
  • [20] Gungor A, Eskin N. “The characteristics that define wind as an energy source”. Energy Source Part A, 30(9), 842-855, 2008.
  • [21] Sahin B, Bilgili, M. “Wind characteristics and energy potential in Belen-Hatay, Turkey”. International Journal of Green Energy, 6(2), 157-172, 2009.
  • [22] Ucar A, Balo, F. “Investigation of wind characteristics and assessment of wind-generation potentiality in Uludağ-Bursa, Turkey”. Applied Energy, 86(3), 333-339, 2009.
  • [23] İmal M., Şekkeli M., Yıldız C. “Kahramanmaran Sütçü İmam University Wind energy potential research and evaluation in main campus”, KSU Journal of Engineering Sciences, Volume 15, Issue. 2, 2012.
  • [24] Balpetek N., “Use of Weibull and Rayleigh distributions to investigate the potential of wind energy”, Fırat University, Master Thesis, Elazığ, 2017.
There are 24 citations in total.

Details

Primary Language English
Subjects Mechanical Engineering
Journal Section Research Article
Authors

Fatih Koçyiğit

Publication Date June 30, 2019
Published in Issue Year 2019 Volume: 9 Issue: 1

Cite

APA Koçyiğit, F. (2019). THE EVALUATING OF WIND ENERGY POTENTIAL OF DİYARBAKIR USING WEIBUL AND RAYLEIGH DISTRIBUTION. European Journal of Technique (EJT), 9(1), 99-113. https://doi.org/10.36222/ejt.570865

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