Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Vol 10 No 3: Agustus 2021

Optimalisasi Keluaran Panel Surya Menggunakan Solar Tracker Berbasis Kamera Terintegrasi Raspberry Pi

Agus Suryanto (Universitas Negeri Semarang)
Noor Hudallah (Universitas Negeri Semarang)
Tatyantoro Andrasto (Universitas Negeri Semarang)
Cahyo Fajar Adhiningtyas (Universitas Negeri Semarang)
Seftriana Anifa Khusniasari (Universitas Negeri Semarang)



Article Info

Publish Date
26 Aug 2021

Abstract

Maximum output from the operation of solar cell depends on the temperature of the solar cell, solar radiation, wind speed, the state of the earth's atmosphere, the orientation of the solar cell and the position of the location of the solar cell against the sun (tilt angle). Solar Tracker is a device that automatically change the orientation of a solar panel towards the position of the sun and increasing the insolation. Initially the solar tracker is set up using LDR then image processing-based settings can reduce tracking errors. Image-based solar tracker still uses a full-sized computer that requires a lot of energy and space. This research aims to improve the accuracy of the direction of the solar panel and optimize the output of the solar panel by increasing the angle of solar radiation (insolation) using the Solar Tracker with a camera sensor and a Raspberry Pi minicomputer. The use of cameras is intended to reduce errors from LDR-based systems and the use of Raspberry Pi replaces full-sized computer. The method to track position of the sun is by tracking the pixel with highest value. From the output analysis the solar panel proved to be optimized by the application of Raspberry Pi-integrated camera solar tracker. The comparison of the output power between the stationary solar panel and the solar panel installed on the Raspberry Pi-integrated camera solar tracker is 1: 1,389 (21,5487W: 29,8822W) in the no-load test and 1: 1,2042 (6,0344W: 7, 2671W) in tests with a 12V-5W bulb load.

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Journal Info

Abbrev

JNTETI

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, ...