Efficiency improvement of solar panels based on fuzzy logic

Abstract

One of the potential renewable energy sources in Indonesia is solar energy. Indonesia, which is passed by the equator, has abundant sources of solar energy with an average solar radiation intensity of around 4.5 kWh/m2 per day throughout the region. In addition to the high cost of components and installation, the efficiency of solar cells is still low. Increasing the temperature of the solar panels due to continuous heating can reduce the efficiency of the panels. The decrease in solar cell efficiency is about 0.5% for an increase in the surface temperature of solar cells by 1o C. Therefore, the addition of a proper cooling system in solar power plants can also improve efficiency and increase the output power of solar panels. This research focuses on increasing the efficiency of solar power generation systems with fuzzy logic. The input system has an LDR sensor to move the solar panel to follow the direction of the sun, a temperature sensor as an input to control the temperature of the solar panel. Sequence of research methods, literature study, preparing tools and materials, design, testing, and data processing. This research found that solar panels with a solar tracker and cooling based on fuzzy logic obtained an efficiency percentage of 15.51% compared to static solar panels.