Akademik Veri Yönetim Sistemi
IETE JOURNAL OF RESEARCH, 2025 (SCI-Expanded, Scopus)
This study investigates the performance of monocrystalline and polycrystalline photovoltaic (PV) panels under varying environmental conditions, focusing on irradiance level, panel cleanliness, and panel type. An L9 orthogonal array based on the Taguchi method was employed to systematically design the experiments, minimizing the number of required trials. Signal-to-Noise (S/N) ratio analysis and ANOVA were conducted to determine the significance and contribution of each factor to power output. Results showed that irradiance level is the most dominant factor, contributing 42.37% of the total variation, followed by panel type (2.36%) and cleanliness (0.57%). A multiple linear regression model was developed to predict power output using categorical variables, confirming the strong influence of irradiance and providing an interpretable mathematical formulation for PV output estimation. A total of 540 power measurements, together with seven environmental parameters per measurement (approximate to 3,700 data points), were collected over an experimental period of approximately six months. Mean power output increased from approximately 26.10 W under low irradiance to about 65.44 W under high irradiance, reflecting the substantial impact of irradiance. Additionally, polycrystalline panels produced on average similar to 4% higher power than monocrystalline panels, while surface contamination reduced output by similar to 5-10%. This study provides practical insights for optimizing PV performance in real-world applications through experimental design and predictive modeling.