Innovative Applications of Euclidean Distance Algorithm in the Development of Dual-Axes Solar Tracking System

Abstract

The main aim of this manuscript is to present the innovative applications of the Euclidean distance algorithm (EDA) for the development of the dual-axes solar tracking system. By positioning the solar panel perpendicular to the sun, this system intends to optimize solar energy harvesting efficiency. Applied using a quantitative approach, the EDA helped to find the optimum solar panel angle continuously depending on the sun's location. The system was developed using LabVIEW software and data acquisition (DAQ) system. The design and installation of the dual-axes solar tracking system included evaluation of performance metrics under different weather conditions. Data was collected over a set time to assess the effectiveness of system. Results established that the dual-axes solar tracking system significantly increased energy output. The algorithm was effectively used to improve the system’s performance by accurately finding the optimal solar panel position throughout the day. By aiming the likelihood of higher solar energy efficacy through effective algorithmic techniques, the results provide the prospect for farther research and development in solar energy systems. By directing the invention of more effective renewable energy solutions, the knowledge gained may ultimately help to execute sustainability goals.