Analysis of wind energy potential and Weibull parameter estimation methods: a case study from Turkey

Gungor A., Gokcek M., Ucar H., Arabaci E., Akyuz A.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, cilt.17, sa.2, ss.1011-1020, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 17 Sayı: 2
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1007/s13762-019-02566-2
  • Dergi Adı: INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Biotechnology Research Abstracts, CAB Abstracts, Compendex, Environment Index, Geobase, INSPEC, Pollution Abstracts, Veterinary Science Database
  • Sayfa Sayıları: ss.1011-1020
  • Anahtar Kelimeler: Energy cost, Statistical analysis, Standard deviation-mean speed method, Weibull parameters, Wind energy, ELECTRICITY-GENERATION, STATISTICAL-ANALYSIS, SPEED, SYSTEMS, COST
  • Akdeniz Üniversitesi Adresli: Evet

Özet

A detailed investigation of the wind characteristics is an indispensable process for the wind energy potential for installing of wind power plants. Choosing the wind speed distribution that provides the better fit to the data is of great advantages. The present study investigates the appropriateness of four different numerical methods for forecasting the Weibull distribution parameters using wind speed information from Izmir-Turkey. To determine the robustness of the methods, the root-mean-square error, the coefficient of determination, and the Chi-square goodness-of-fit tests have been used. In addition, an economic analysis to represent probability of installing wind turbines ranging between 800 and 4200 kW in site has been also done. The results demonstrate that the standard deviation-mean wind speed method is the most appropriate. Moreover, the estimated cost of electricity from wind was calculated as US$0.0111/kWh.