Characterization of Sun Light Using a Low-Cost Sensor and Its Potential as Energy Resource of Light Bulb
Jesi Pebralia(a*), Iful Amri (b), Samsidar(a), and Sri Purwaningsih(a)

a) Physics Department, Faculty of Sciences and Technology, Jambi University, Muaro Jambi, Indonesia 36361
*jesipebralia[at]unja.ac.id

b) Physics Education, Faculty of Teacher Training and Education, Sriwijaya University, Ogan Ilir, Indonesia, 30662

Abstract

In the era of renewable energy, solar power has become one of the most promising alternatives to traditional energy sources due to its abundance and eco-friendly nature. This research focuses on characterizing sunlight by measuring its intensity, duration, and variability using inexpensive and readily available light sensors. The data collected from these sensors are then analyzed to evaluate the feasibility of using sunlight as a direct energy source for lighting systems, particularly for light bulbs. The study employs a methodology where low-cost sensors, LDR sensors, are integrated into instrumentation system of IoT, ESP32, to record sunlight intensity over a specific period. The measurements include key parameters such as peak irradiance, daily sunlight duration, and fluctuations caused by weather conditions. These parameters are critical in determining the efficiency and practicality of using sunlight as an energy source for light bulbs. The analysis reveals that sunlight, particularly in regions with high solar irradiance, has significant potential to power light bulbs, especially when combined with efficient energy storage systems. By using low-cost sensors, this research provides an affordable and accessible method for monitoring solar energy potential in various locations. In conclusion, this study demonstrates that the characterization of sunlight using low-cost sensors can provide valuable insights into its potential as a sustainable energy source.

Keywords: energy resource- irradiance- light bulbs- low-cost sensor- sunlight

Topic: Interdisciplinary Earth Science and Technology