Views: 0 Author: Site Editor Publish Time: 2026-06-08 Origin: Site
With the growing global demand for renewable energy, solar photovoltaic (PV) technology has become a key component of the clean energy sector. However, traditional fixed PV systems have significant efficiency limitations—since the sun's position changes continuously over time, fixed PV panels cannot maintain the optimal incident angle, resulting in a large amount of solar energy being underutilized. Studies show that the energy capture efficiency of fixed systems typically reaches only 60–70% of ideal conditions, meaning nearly one-third of potential energy is wasted.
To address the energy loss caused by insufficient sun-tracking accuracy in PV systems, researchers have developed a hybrid algorithm dual-axis solar tracking system (DASTS) that integrates GPS positioning and light-dependent resistors (LDRs). Through innovative LDR design and algorithm optimization, the tracking error has been reduced to 1.8°, and experimental results show a 38.2% increase in power generation compared to fixed systems. Such systems maximize energy capture by continuously adjusting the panel angle to remain perpendicular to the sun's rays. Currently, mainstream tracking systems include single-axis and dual-axis types, with DASTS theoretically offering the highest energy gain. However, existing DASTS technologies face several prominent challenges: first, tracking accuracy—conventional LDR-based systems are susceptible to environmental interference such as clouds and shadows; second, cost—high-precision GPS systems are accurate but expensive; and third, reliability—mechanical component wear and control algorithm complexity affect long-term stable operation.
Against this backdrop, researchers published this innovative study in Renewable Energy, aiming to develop a high-efficiency, low-cost, high-precision hybrid dual-axis solar tracking system.
