Akademik Veri Yönetim Sistemi
Sinop Üniversitesi Fen Bilimleri Dergisi, cilt.10, sa.2, ss.340-353, 2025 (TRDizin)
This research examines the efficiency of small-scale vertical axis wind turbines for energy generation on
the Bitlis Eren University campus. Wind data analysis was conducted using
Weibull and Rayleigh distributions, with the most suitable distribution identified through error analysis. Three vertical axis wind turbine models from
the same manufacturer, with rated capacities of 600W, 1000W, and 3000W, were
assessed for energy production potential. Error analysis results indicated that
the Weibull distribution provided the best fit for the wind data. Based on this
distribution, the annual mean wind speed was found to be 3.17 m/s, while the
average power density reached 45.25 W/m². Analysis of the results indicated
that, among the evaluated models, the 1kW turbine exhibited the most favorable
capacity factor, suggesting a more efficient performance relative to its rated
capacity under the given wind conditions. In contrast, the 3 kW turbine yielded
the highest total annual energy output, highlighting its potential for maximizing absolute energy generation despite having a lower efficiency ratio.
These results suggest that small-scale VAWTs can be viable for rooftop installation in regions with similar wind characteristics, offering a
supplementary energy source for institutional or residential use. The study
provided insights that could inform local energy policy, particularly in
promoting decentralized renewable energy systems and integrating wind energy
solutions into urban infrastructure.