Comparative study on wind energy potential for Artvin

Yıl 2019, , 65 - 72, 05.12.2019

Enes Halit Aydın , Mehmet Çunkaş

https://doi.org/10.31593/ijeat.539501

Cited By: 1

Öz

This paper presents a comparative study on wind energy potential for Artvin, which has a very rugged terrain and is in the east of Turkey and the Black Sea. Wind energy potential is computed with Numerical methods such as Weibull, Rayleigh, Gamma, and Lognormal distributions by using hourly wind speed data. Monthly wind energy density is determined between June 2017 and September 2018. The current map data of the General Directorate of Renewable Energy and the solar radiation amounts, and wind speed potentials obtained from Artvin Meteorology Directorate of the province are used. As a result of the calculations, the wind power obtained from the Weibull, Rayleigh, Gamma and Lognormal distributions is compared. It is shown that the weibull distribution produces more stable results.

Anahtar Kelimeler

Wind energy potential, Statistical methods, Renewable energy, Artvin

Kaynakça

• [1] Teias, https://www.teias.gov.tr/en/elektrik-istatistikleri [Visit Date: 15 August 2018], 2018.
• [2] Cho H., Bowman, K., North, G., “A Comparison of Gamma and Lognormal Distributions for Characterizing Satellite Rain Rates from the Tropical Rainfall Measuring Mission”, Journal Of Applied Meteorology, p.1586, v.43, 2004.
• [3] Kurban, M., Hocaoglu, F. O., and Kantar, Y. M., “A Comparative Analysis of Two Different Statistical Distributions Used in Forecasting Wind Energy Potential”, Pamukkale University Faculty of Engineering, Engineering Sciences Journal, Denizli, 106, 2007.
• [4] Z. Demirkol, M.Cunkas “Renewable Energy Potential of Afyonkarahisar Province” Journal of Eng. Science and Technology. c.2, p.1, v.2, n.1, 2014 ISSN: 2147-9364, 2014.
• [5] Köse, B., Güneşer, M., Yazıcı, M., Yılmaz, S., “Estimation of Wind Energy Potential Eskipazar Using Rayleigh, Lognormal and Weibull Distribution Model”, International Symposium On Innovate Technologies In Engineering And Science (ISITES), v.1, Universidad Polinectica de Valencia, Spain, 2015.
• [6] Balpetek, N., Akpınar, E., “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, ISSN: 5000213345, Ankara, 2017.
• [7] Usta, i., Kantar Y., M., “Wind Power Potential Estimation By Using Different Statiscal Distributions”, Dokuz Eylül University Faculty of Engineering, Journal of Engineering and Sciences, c.2, p.362, v.18, n.3, 2016.
• [8] Emeksiz, C., Doğan, Z., Gökrem, L., Yavuz, H., “Analyzing The Wind Characteristics of Tokat Region With Statistical Methods, Gaziosmanpaşa University Faculty of Engineering and Natural Sciences, Journal of Polytechnic, c.4, p.481-489, Tokat, 2016.
• [9] Sohoni A.V, Gupta S.,, Nema R.,“Comparative analysis of wind speed probability distributions for wind power assessment of four sites”, . Turk J Elec Eng & Comp Sci, 24: 4724-4735, 2016.
• [10] Aydin E.H., Çunkaş M., “Overview of Potential of Renewable Energy Sources in Artvin Province”, International Conference on Engineering Technologies (ICENTE'18), pp. 325-329, October 26-28,2018, Konya/TURKEY.
• [11] Öztürk, H. H, “Solar Energy and Applications” Birsen Publishing House, Adana, 2012.
• [12] Kamil B. Varınca, Gamze Varank, “Evaluation of Environmental Impacts in Wind Source Energy Generation Systems and Solutions”, New and Renewable Energy Resources / Energy Management Symposium, p. 367-376, 2005
• [13] Energy and Natural Resources Ministry “Milges, Milhes, Milkanat and (YGDA) System Development Projects” Ankara, 2015.
• [14] South Marmara Development Agency https://www.gmka.gov.tr/ [Visit Date: 20 February 2019], 2019.
• [15] Republic of Turkey Ministry of Energy and Natural Resources http://www.enerji.gov.tr/tr-TR/Sayfalar/Gunes, [Visit Date: 25 February 2019], 2018.
• [16] World Energy Council Turkish National Committee https://www.dunyaenerji.org.tr/yenilenebilir- enerjiler-2018-kuresel-durum-raporu/ [Visit Date: 10 February 2019], 2018.
• [17] The International Renewable Energy Agency (IRENA)) https://www.irena.org/ [Visit Date: 19 February 2019], 2019.
• [18] Yegm,http://www.yegm.gov.tr/MyCalculator/pages/8.aspx [Visit Date: 10 August 2018], 2018.
• [19] Varınca, K. B., Gönüllü, M. T., "Solar energy potential and the use degree of potential in Turkey, Management and Prevalence A Study on the" First National Solar and Hydrogen Energy Congress, Eskisehir, 270-274, 2006.
• [20] Artvin Governorent,http://www.artvin.gov.tr/ [Visit Date: 25 August 2018], 2018
• [21] Ekolojist.net,http://ekolojist.net/ruzgarin-potansiyeli-ne/ [Visit Date: 18 August 2018], 2018.
• [22] Mgm, https://www.mgm.gov.tr/dataevaluation / il-ve-ilceler-statistic.aspx? M = ARTVIN [Visit Date: 18 July 2018], 2018
• [23] Enerji Atlası, http://www.enerjiatlasi.com/gunes/ [Visit Date: 10 August 2018], 2018
• [24] Enerji Atlası, http://www.enerjiatlasi.com/ruzgar/ [Visit Date: 10 August 2018], 2018.
• [25] Mathworks.com, https://www.mathworks.com/examples/matlab [Visit Date: 15 February 2019], 2019.