Year: 2023 | Month: December | Volume: 10 | Issue: 12 | Pages: 372-380
DOI: https://doi.org/10.52403/ijrr.20231241
Analysis of the Effect of Tilt Position and Surface Temperature Levels of Solar Panels in Optimizing Solar Panel Performance
Abdullah1, Maharani Putri2, Juli Iriani3, Fitria Nova Hulu4, Khairul Umuran5
1,2,3,4,5Program Study Electrical Engineering Polytechnic Negeri Medan Almamater street No.1, Padang Bulan, 20155 Medan, North Sumatera, Indonesia
Corresponding Author: Abdullah
ABSTRACT
The impact of increasing energy needs requires the search for alternative energy, one of which is the use of abundant solar energy. This solar energy is processed through solar panels to convert it into electrical energy. Solar panels can function optimally if they are exposed to maximum sunlight and are at the right working temperature. The challenge faced is, to get maximum sunlight, solar panels must be directed towards sunlight. However, continuous exposure to sunlight causes an increase in the surface temperature of the panel, which ultimately reduces the output power of the solar panel. Therefore, a special design is needed to overcome this problem. The solution implemented is a solar panel optimization system by adjusting the tilt of the panels and using a cooling system connected to the Internet of Things (IoT). The goal of this system is to maximize solar panel performance by maintaining maximum sunlight exposure and panel operating temperature within the appropriate range. The method used is to adjust the tilt of the panel so that it is always at the maximum angle of sunlight, and to use the Peltier effect on water as a surface cooling system for the solar panels. The parameters monitored in this research include voltage from the LDR light sensor, solar panel tilt angle, solar panel temperature, and cooling water temperature from the Peltier effect, as well as voltage, current, and power in comparison between standard solar panels (without a design system) and panels. solar using system design. Monitoring is carried out in real time using Internet of Things-based technology. The test results show that the system can function well as a solar panel optimization system integrated with the Internet of Things. A power increase of 36.91% was achieved by comparing the system without design with the design system (angle adjustment and cooling). In addition, the real-time remote monitoring concept has proven effective in observing the value of electrical energy produced by solar panels in an integrated Internet of Things application.
Keywords: solar panels, position, surface temperature, analysis.
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