A framework on the investigation of wind characteristics based on Weibull distribution function by comparative scrutiny of estimation methods: application to an airport

Suzer A. E., ATASOY V. E., Ekici S.

International Journal of Green Energy, cilt.19, sa.3, ss.254-269, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19 Sayı: 3
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1080/15435075.2021.1941049
  • Dergi Adı: International Journal of Green Energy
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aerospace Database, CAB Abstracts, Communication Abstracts, Compendex, Environment Index, Geobase, Greenfile, INSPEC, Metadex, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.254-269
  • Anahtar Kelimeler: Cappadocia airport, wind speed and direction, wind regime, Weibull distribution, parameter estimation, comparative analysis, METAHEURISTIC OPTIMIZATION ALGORITHMS, NUMERICAL-METHODS, ELECTRICITY-GENERATION, SPEED DISTRIBUTION, DISTRIBUTION PARAMETERS, PERFORMANCE ANALYSIS, STATISTICAL-ANALYSIS, ECONOMIC-ANALYSIS, ENERGY ANALYSIS, POWER
  • Erzincan Binali Yıldırım Üniversitesi Adresli: Evet

Özet

© 2021 Taylor & Francis Group, LLC.This study strives to present a preliminary assessment of wind characteristics and the regime for Cappadocia Airport in Turkey by in-depth a holistic and precise comparative analysis. For this purpose, the parameters of the well-accepted Weibull distribution, namely shape and scale parameters, are determined by a variety of estimation methods. Furthermore, the distribution of wind direction and speed over a period of 2015 and 2017 is investigated. Several well-known statistical tools, including Root Mean Square Error (RMSE), R-squared (R2) and Chi-squared (X2), are conducted to analyze comparatively the fitting performance and efficiency of the estimation methods to wind data. This study reveals that the wind speed remains equal to or greater than around three (m/s) 61.12% of the time and the prevailing wind direction is between 290o and 335o, consistent with the runway orientation. The value of the shape parameter ranges from 2.4368 to 4.093, while the scale parameter is in the range from 3.4793 to 4.2349. Consequently, in light of the statistical indicators, it is clearly observed that Empirical Method of Justus (EMJ) and Empirical Method of Lysen (EML) with RMSE of 0.0392, R2 of 0.9865, and X2 of 0.0016, respectively, exhibit more excellent ability in estimating the Weibull parameters in comparison with other numerical methods and also are the most suitable methods in determining the wind characteristics and wind profile of the airport. This study may attract the attention of academics, industrial researchers and policymakers intending to establish the runway orientation at an airport.