Dynamic Solar Panel Orientation for Maximizing Efficiency Based on Trajectory of the Sun

Abstract

The rapid expansion of photovoltaic technology is driven by a critical need for electricity and a growing emphasis on sustainable energy solutions. However, the primary challenge is that the efficiency of solar panels remains insufficient, making them less competitive compared to other energy sources in the long term. This inefficiency not only limits the overall power output but also discourages private investors due to slight benefit and low rate of return of investment. Consequently, many potential projects are stalled, as investors are hesitant to commit resources to technologies that do not promise adequate profitability. Additionally, low efficiency wastes the installation space, and the variability in solar energy generation further complicates the economic viability of solar investments. To tackle this issue, the objective of this research is to develop an innovative active-dynamic strategy aimed at enhancing the operational efficiency of solar panels through advanced Sun-tracking mechanisms. By integrating an ARM controller with a TSL2550 sensor module, our system orchestrates precise servomotor adjustments to optimize solar panel alignment based on the Sun's trajectory in both vertical and horizontal planes. Furthermore, employing state-of-the-art Micro-Python coding techniques significantly boosts power generation. Empirical data from practical deployments demonstrate a minimum fourfold increase in the overall efficiency of the solar energy system following the implementation of this strategy.