Wind Speed Analysis and Capacity Factor Estimation for Bergama Region

In this research, the wind energy potential of the Bergama region is evaluated through the application of the Weibull probability distribution and corresponding capacity factor calculations. Wind speed data utilized in the analysis were sourced from the Global Wind Atlas (GWA), and the Weibull distribution parameters were derived using the Maximum Likelihood Estimation (MLE) technique. According to the results, the mean wind speed at a height of 100 meters was found to be 9.44 m/s, with a shape factor ( κ ) of 1.98 and a scale factor ( c ) of 10.33 m/s. The capacity factor estimations, carried out using the Weibull model, indicate that the current wind energy facilities in the area operate within a capacity factor range of 28.6% to 38.7%. These outcomes highlight the promising potential of the Bergama region for future wind power projects. Nonetheless, the inclusion of long-term on-site measurements and consideration of seasonal fluctuations would enhance the reliability of such assessments. The study aims to enrich the academic discourse surrounding wind resource evaluation and turbine performance metrics while offering practical guidance for stakeholders in the energy industry.

Authors

Institutions

Publication Details

Journal
E3S Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/e3sconf/202564303002
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wind Speed Analysis and Capacity Factor Estimation for Bergama Region

Muharrem Kemal Özfırat, Ali Kemal Eyuboglu
E3S Web of Conferences
Wind Energy Research and Development
article

Wind Speed Analysis and Capacity Factor Estimation for Bergama Region

Muharrem Kemal Özfırat, Ali Kemal Eyuboglu
article en

Abstract

In this research, the wind energy potential of the Bergama region is evaluated through the application of the Weibull probability distribution and corresponding capacity factor calculations. Wind speed data utilized in the analysis were sourced from the Global Wind Atlas (GWA), and the Weibull distribution parameters were derived using the Maximum Likelihood Estimation (MLE) technique. According to the results, the mean wind speed at a height of 100 meters was found to be 9.44 m/s, with a shape factor ( κ ) of 1.98 and a scale factor ( c ) of 10.33 m/s. The capacity factor estimations, carried out using the Weibull model, indicate that the current wind energy facilities in the area operate within a capacity factor range of 28.6% to 38.7%. These outcomes highlight the promising potential of the Bergama region for future wind power projects. Nonetheless, the inclusion of long-term on-site measurements and consideration of seasonal fluctuations would enhance the reliability of such assessments. The study aims to enrich the academic discourse surrounding wind resource evaluation and turbine performance metrics while offering practical guidance for stakeholders in the energy industry.

E3S Web of ConferencesVol. 643
Dokuz Eylül University (TR)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Openalex Percentile: Top 69%
Wind Energy Research and Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Wind Speed Analysis and Capacity Factor Estimation for Bergama Region — Muharrem Kemal Özfırat, Ali Kemal Eyuboglu · E3S Web of Conferences (2025) | TGRS Research Map | TGRS