Solar power has emerged as a potential renewable and sustainable energy source. Measurement, testing, and evaluation of solar panels are important for industrial quality control, education, and research and development. Commercial instrumentation exists to perform such measurements in a production factory or research labs. However, such instruments are very expensive and bulky. In addition, they are not suitable to deploy in a solar power field. Such limitations pose a barrier to continuous monitoring of solar panels’ health after production when they are commissioned outdoor in a solar power plant. In this project, we have developed an innovative solution to address these challenges. We have designed and fabricated a portable low-cost device for remote real-time monitoring of solar panels. Our device costs less than $100 and it can measure solar panel’s electrical parameters and compute its power output within 2% accuracy compared to commercial lab-grade instruments that costs >$3,000. Our low-cost device integrates an ESP32 microcontroller, a capacitive load, an analog front-end comprising of operational amplifier, an energy harvesting circuit, solid-state switches, temperature sensing circuit, and an analog-to digital converter circuit. The device is capable of measuring a solar panel’s voltage, current, and tracing the current-voltage characteristic curves under different ambient conditions. The integrated direct Wi-Fi on the microcontroller allows the device to remotely monitor the panel’s health. In addition to the hardware, we have also created an open-source python program that can autonomously analyze the performance of a solar panel by collecting and analyzing I-V curves in real-time to assess a solar panel’s power output and its health and alert the maintenance personnel in case of any faults or malfunctioning. In addition, our system enables novel strategies to achieve higher efficiency of a solar plant, thus producing more renewable energy for a sustainable world.
Novel Low-cost Device for Real-time Measurement and Health Monitoring of Field-Deployed Solar Panels
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Student Abstract Submission