Information from the abstract
This study develops and experimentally evaluates a near-infrared (NIR)-sensor-based dual-axis photovoltaic (PV) tracking system using the infrared-responsive channel of the TSL2591 sensor. The proposed tracker employs a pseudo-azimuthal structure and differential hysteresis-based control and is compared with fixed, light-dependent resistor (LDR)-based, and ultraviolet (UV)-based configurations. All systems used identical PV modules and electrical loading, while the three trackers shared the same mechanical structure, actuators, and control hardware. Outdoor experiments were conducted over 40 days from August to December 2025 under sunny, cloudy, and rainy conditions characterized using global horizontal irradiance, clearness index, ambient temperature, relative humidity, cloud cover, and rainfall. The fixed, LDR-, UV-, and NIR-based systems produced mean net energies of 186.7, 234.2, 278.2, and 305.4 Wh/day, respectively. The NIR tracker increased mean net energy by 63.6%, 30.4%, and 9.8% relative to the fixed, LDR-, and UV-based systems, respectively. It also had the lowest mean tracking-energy consumption of 5.53 Wh/day, corresponding to reductions of 11.1% and 27.9% relative to the LDR and UV trackers. Friedman repeated-measures tests confirmed significant differences in gross PV generation, net energy generation, and tracking consumption ( p < 0.001), with Kendall’s W values of 0.943, 0.933, and 1.000, respectively. A preliminary economic assessment yielded an NIR-system LCOE of approximately $0.255/kWh. These results indicate favorable NIR-based performance for the tested location, hardware, controller settings, and experimental period.
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Related topics: Photovoltaic System Optimization Techniques · Solar Radiation and Photovoltaics · Solar Thermal and Photovoltaic Systems
Thai researcher and institutional participation
Chaowanan Jamroen · Passakorn Ngamlert · Woraphop Kotan · Bongkotchakorn Artwichai · King Mongkut's University of Technology North Bangkok
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