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Evaluation of wind loads and the potential of Turkey's south west region by using log-normal and gamma distributions

  • Ozkan, Ramazan (Wind Engineering and Aerodynamic Research Center, Department of Energy Systems Engineering, Erciyes University) ;
  • Sen, Faruk (Mugla Sitki Kocman University, Department of Energy Systems Engineering) ;
  • Balli, Serkan (Mugla Sitki Kocman University, Department of Information Systems Engineering)
  • Received : 2020.02.27
  • Accepted : 2020.09.07
  • Published : 2020.10.25

Abstract

In this study, wind data such as speeds, loads and potential of Muğla which is located in the southwest of Turkey were statistically analyzed. The wind data which consists of hourly wind speed between 2010 and 2013 years, was measured at the 10-meters height in four different ground stations (Datça, Fethiye, Marmaris, Köyceğiz). These stations are operated by The Turkish State Meteorological Service (T.S.M.S). Furthermore, wind data was analyzed by using Log-Normal and Gamma distributions, since these distributions fit better than Weibull, Normal, Exponential and Logistic distributions. Root Mean Squared Error (RMSE) and the coefficients of the goodness of fit (R2) were also determined by using statistical analysis. According to the results, extreme wind speed in the research area was 33 m/s at the Datça station. The effective wind load at this speed is 0.68 kN/㎡. The highest mean power densities for Datça, Fethiye, Marmaris and Köyceğiz were found to be 46.2, 1.6, 6.5 and 2.2 W/㎡, respectively. Also, although Log-normal distribution exhibited a good performance i.e., lower AD (Anderson - Darling statistic (AD) values) values, Gamma distribution was found more suitable in the estimation of wind speed and power of the region.

Keywords

References

  1. Akdag S.A. and Dinler, A. (2009), "A new method to estimate Weibull parameters for wind energy applications", Energy Convers. Managet., 50(7), 1761-1766. https://doi.org/10.1016/j.enconman.2009.03.02.
  2. Arik, I., Kantar, Y.M. and Usta, I. (2019), "The new odd-burr rayleigh distribution for wind speed characterization", Wind Struct., 28(6), 369-380. https://doi.org/10.12989/was.2019.28.6.369
  3. Aydin, D. (2018), "Alternative robust estimation methods for parameters of Gumbel distribution: an application to wind speed data with outliers", Wind Struct., 26(6), 383-395. https://doi.org/10.12989/was.2018.26.6.383.
  4. Bailey, R.L. and Dell, T.R. (1973), "Quantifying diameter distributions with the Weibull function", Forest Sci., 19(2), 97-104. https://doi.org/10.1093/forestscience/19.2.97.
  5. Bajic, A. and Peros, B. (2005), "Meteorological basis for wind loads calculation in Croatia", Wind Struct., 8(6), 389-406. https://doi.org/10.12989/was.2005.8.6.389.
  6. Cantelli, A., Monti, P., Leuzzi, G., Valerio, G. and Pilotti, M. (2017), "Numerical simulations of mountain winds in an alpine valley", Wind Struct., 24(6), 565-578. https://doi.org/10.12989/was.2017.24.6.565.
  7. Celik, A.N. (2011), "Review of Turkey's current energy status: A case study for wind energy potential of Canakkale province", Renew. Sustain. Energy Rev., 15(6), 2743-2749. https://doi.org/10.1016/j.rser.2011.03.017.
  8. Elshaer, A., Bitsuamlak, G. and Abdallah, H. (2019), "Variation in wind load and flow of a low-rise building during progressive damage scenario", Wind Struct., 28(6), 389-404. https://doi.org/10.12989/was.2019.28.6.389.
  9. Eskin, N., Artar, H. and Tolun, S. (2008), "Wind energy potential of Gokceada Island in Turkey", Renew. Sustain. Energy Rev., 12(3), 839-851. https://doi.org/10.1016/j.rser.2006.05.016.
  10. Firat, F.K. and Yücemen, M.S. (2012), "Statistical evaluation of the wind loads as proposed by the Turkish standard TS 498", Erciyes University Institute of Science Journal of Science, 28(2), 146-152.
  11. Fyrippis, I., Axaopoulos, P.J. and Panayiotou, G. (2010), "Wind energy potential assessment in Naxos Island, Greece", Appl. Energy, 87(2), 577-586. https://doi.org/10.1016/j.apenergy.2009.05.031.
  12. Garcia, A., Torres, J.L., Prieto, E. and De Francisco, A. (1998), "Fitting wind speed distributions: A case study", Solar Energy, 62(2), 139-144. https://doi.org/10.1016/S0038-092X(97)00116-3.
  13. Genc M.S, Celik, M. and Karasu, I. (2012), "A Review on wind energy and wind-hydrogen production in Turkey: A case study of hydrogen production via electrolysis system supplied by wind energy conversion system in central Anatolian Turkey", Renew. Sustain. Energy Rev., 16(9), 6631-6646. https://doi.org/10.1016/j.rser.2012.08.011.
  14. Genc, G., Celik, M. and Genc, M.S. (2012), "Cost analysis of wind-electrolyzer-fuel cell system for energy demand in Pinarbasi-Kayseri", Int. J. Hydrogen Energy, 37(17), 12158-12166. https://doi.org/10.1016/j.ijhydene.2012.05.058.
  15. Genc, M.S. (2010), "Economic analysis of large-scale wind energy conversion systems in central anatolian Turkey", Clean Energy Syst. Experiences, 131-154. https://doi.org/10.5772/intechopen.83968.
  16. Genc, M.S. (2011), "Economic viability of water pumping systems supplied by wind energy conversion and diesel generator systems in North Central Anatolia, Turkey", J. Energy Eng., 137(1), 21-35. https://doi.org/10.1061/(ASCE)EY.1943-7897.0000033.
  17. Genc, M.S. and Gokcek, M. (2009), "Evaluation of wind characteristics and energy potential in Kayseri, Turkey", J. Energy Eng., 135(2), 33-43. https://doi.org/10.1061/(ASCE)0733-9402(2009)135:2(33).
  18. Gokcek, M. and Genc, M.S. (2009), "Evaluation of electricity generation and energy cost of wind energy conversion systems (WECSs) in Central Turkey", Appl. Energy, 86(12), 2731-2739. https://doi.org/10.1016/j.apenergy.2009.03.025.
  19. Gokcek, M., Bayulgen, A. and Bekdemir, S. (2007), "Investigation of wind characteristics and wind energy potential in Kirklareli, Turkey", Renew. Energy, 32(10), 1739-1752. https://doi.org/10.1016/j.renene.2006.11.017.
  20. Hamzah, N.H. and Usman, F. (2019), "Geospatial analysis of wind velocity to determine wind loading on transmission tower", Wind Struct., 28(6), 381-388. https://doi.org/10.12989/was.2019.28.6.381.
  21. Harris, R.I. (2006), "Errors in GEV analysis of wind epoch maxima from Weibull parents", Wind Struct., 9(3), 179-191. https://doi.org/10.12989/was.2006.9.3.179.
  22. Hong, H.P. and Li, S.H. (2014), "Plotting positions and approximating first two moments of order statistics for Gumbel distribution: estimating quantiles of wind speed", Wind Struct., 19(4), 371-387. https://doi.org/10.12989/was.2014.19.4.371.
  23. Hou, Y., Peng, Y., Johnson, A.L. and Shi, J. (2012), "Empirical analysis of wind power potential at multiple heights for North Dakota Wind Observation Sites", Energy Sci. Technol., 4(1), 1-9. https://doi.org/10.3968/j.est.1923847920120401.289.
  24. Hui, Y., Li, B., Kawai, H. and Yang, Q. (2017), "Non-stationary and non-Gaussian characteristics of wind speeds". Wind Struct., 24(1), 59-78. https://doi.org/10.12989/was.2017.24.1.059.
  25. Ilkilic, C. and Turkbay, I. (2010), "Determination and utilization of wind energy potential for Turkey", Renew. Sustain. Energy Rev., 14(8), 2202-2207. https://doi.org/10.1016/j.rser.2010.03.033.
  26. Jowder, F.A.L. (2009), "Wind power analysis and site matching of wind turbine generators in Kingdom of Bahrain", Appl. Energy, 86(4), 538-545. https://doi.org/10.1016/j.apenergy.2008.08.006.
  27. Karsli, V.M. and Gecit, C. (2003), "An investigation on wind power potential of Nurdagi-Gaziantep, Turkey", Renew. Energy, 28(5), 823-830. https://doi.org/10.1016/S0960-1481(02)00059-9.
  28. Ke, S.T., Wang, X.H. and Ge, Y.J. (2019), "Wind load and wind-induced effect of the large wind turbine tower-blade system considering blade yaw and interference". Wind Struct., 28(2), 71-87. https://doi.org/10.12989/was.2019.28.2.071.
  29. Keyhani, A., Ghasemi-Varnamkhasti, M., Khanali, M. and Abbaszadeh, R. (2010), "An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran", Energy, 35(1), 188-201. https://doi.org/10.1016/j.energy.2009.09.009.
  30. Lagomarsino, S., Piccardo, G. and Solari, G. (1999), "Probabilistic analysis of ltalian extreme winds: Reference velocity and return criterion", Wind Struct., 2(1), 51-68. https://doi.org/10.12989/was.1999.2.1.051.
  31. Lepri, P., Vecenaj, Z., Kozmar, H. and Grisogono, B. (2017), "Bora wind characteristics for engineering applications", Wind Struct., 24, 579-611. https://doi.org/10.12989/was.2017.24.6.579.
  32. Lo Brano, V., Orioli, A. Ciulla, G. and Culotta, S. (2011), "Quality of wind speed fitting distributions for the urban area of Palermo, Italy", Renew. Energy, 36(3), 1026-1103. https://doi.org/10.1016/j.renene.2010.09.009.
  33. Loredo-Souza, A.M., Wittwer, A.R., Castro, H.G. and Vallis, M. B. (2017), "Characteristics of Zonda wind in South American Andes", Wind Struct., 24(6), 657-677. https://doi.org/10.12989/was.2017.24.6.657.
  34. Luna, R.E. and Church, H.W. (1974), "Estimation of long term concentrations using a "universal" wind speed distribution", J. Appl. Meteorol., 13(8), 910-916. https://doi.org/10.1175/1520-0450(1974)013<0910:EOLTCU>2.0.CO;2.
  35. Melchers, R.E. and Beck, A.T. (2018), "Structural reliability analysis and prediction", John Wiley & Sons.
  36. Mert, I. and Karakus, C. (2015), "A Statistical analysis of the wind speed distribution parameters and wind power density in Antakya region", J. Polytechnic, 18(1), 35-42. https://doi.org/10.2339/2015.18.1.
  37. Nelson, T.C. (1965), "Diameter distribution and growth of loblolly pine", Forest Sci., 10(1), 105-115. https://doi.org/10.1093/forestscience/10.1.105.
  38. Ozerdem, B. and Turkeli, M. (2003), "An investigation of wind characteristics on the campus of Izmir Institute of Technology, Turkey", Renew. Energy, 28(7), 1013-1027. https://doi.org/10.1016/S0960-1481(02)00155-6.
  39. Ozgener, L. (2010), "Investigation of wind energy potential of Muradiye in Manisa", Renew. Sustain. Energy Rev., 14(9), 3232-3236. https://doi.org/10.1016/j.rser.2010.06.004.
  40. Palutikof, J.P., Brabson, B.B., Lister, D.H. and Adcock, S.T. (1999), "A review of methods to calculate extreme wind speeds", Meteorol. Appl., 6(2), 119-132. https://doi.org/10.1017/S1350482799001103.
  41. Quan, Y., Hou, F. and Gu, M. (2017), "Effects of vertical ribs protruding from facades on the wind loads of super high-rise buildings", Wind Struct., 24(2), 145-169. https://doi.org/10.12989/was.2017.24.2.145.
  42. Sherlock, R.H. (1951), "Analyzing winds for frequency and duration on atmospheric pollution", Meteorol. Monograph. Amer. Meteorol. Soc., 1(8), 42-49. https://doi.org/10.1007/978-1-940033-03-7-9.
  43. Sterling, M., Baker, C.J., Richards, P.J., Hoxey, R.P. and Quinn, A. D. (2006), "An investigation of the wind statistics and extreme gust events at a rural site", Wind Struct., 9(3), 193-215. https://doi.org/10.12989/was.2006.9.3.193.
  44. Tavares Lira M.A., Da Silva, E.M., Brabo Alves, J.M., Oliveira Veras, G.V. (2014), "Estimation of wind resources in the coast of Ceará, Brazil, using the linear regression theory", Renew. Sustain. Energy Rev., 39, 509-529. https://doi.org/10.1016/j.rser.2014.07.097.
  45. Tse, Y.E.B.A.Y. and Degerleri, H. (1997), TS-498. Turkish Standardization Institute, Ankara.
  46. Ucar, A. and Balo, F. (2009), "Evaluation of wind energy potential and electricity generation at six locations in Turkey", Appl. Energy, 86(10), 1864-1872. https://doi.org/10.1016/j.apenergy.2008.12.016.
  47. Ucar, A. and Balo, F. (2009), "Investigation of wind characteristics and assessment of wind-generation potentiality in Uludag-Bursa, Turkey", Appl. Energy, 86(3), 333-339. https://doi.org/10.1016/j.apenergy.2008.05.001.
  48. Yaniktepe, B., Koroglu, T. and Savrun, M.M. (2013), "Investigation of wind characteristics and wind energy potential in Osmaniye, Turkey", Renew. Sustain. Energy Rev., 21, 703-711. https://doi.org/10.1016/j.rser.2013.01.005.
  49. Ye, X.W., Ding, Y. and Wan, H.P. (2019), "Machine learning approaches for wind speed forecasting using long-term monitoring data: a comparative study", Smart Struct. Syst., 24(6), 733-744. https://doi.org/10.12989/.2019.24.6.733.
  50. Zidong, X., Hao, W., Teng, W., Tianyou, T. and Jianxiao, M. (2017), "Wind characteristics at Sutong Bridge site using 8-year field measurement data", Wind Struct., 25(2), 195-214. https://doi.org/10.12989/was.2017.25.2.195.

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