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

Suryanto, Agus; Hudallah, Noor; Andrasto, Tatyantoro; Adhiningtyas, C F; Khusniasari, S A

doi:10.22146/jnteti.v10i3.1142

Cited by 4 publications

(7 citation statements)

References 3 publications

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“…A microcomputer will process image capture, which will later be carried out in several stages, namely the Gaussian Blur process, to reduce noise in the image results. After that, coordinate point data are obtained, which will later be instructed to move the Linear Actuator so that the position of the solar panel is proper in the direction of the coming sun so that the results of solar panel output will be maximized [5]…”

Section: B Camera Usementioning

confidence: 99%

“…However, the installation of solar panels is still static, so it cannot follow the sun's movement optimally [4]. Compared to static panels, panels with solar trackers can overcome the solution of solar panels that cannot follow the movement of the sun optimally [5]. This solar tracker can be divided into two types, namely single-axis tracking and dual-axis tracking.…”

Section: Introductionmentioning

confidence: 99%

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Initial Design of Dual Axis Solar Tracking System with the Addition of Camera and Cooling System

Zharif,

Santoso,

RahmaDewi

2023

politeknologi

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Solar panels have been widely used to determine solar energy as an electrical energy generator. However, the installation of solar panels is still static, so it cannot follow the sun's movement optimally. Solar panels with dual-axis tracking have a wide range in the tracking process. The range that can be tracked by dual-axis tracking is azimuth angle and altitude, while single-axis tracking can only choose one side of the angle. In this study, the initial design of the dual-axis solar tracking system was made with cameras and cooling systems combined with heatsinks and tubular pipes. The design made is in the form of a CAD design using SolidWorks software, and the design made will be used for subsequent research, In this solar panel, the fill factor results are 0.634, and the efficiency of solar panels is 17.53% with the addition of a cooling system which can reduce the temperature of solar panels is expected to be higher efficiency. The study results were obtained in the design of a solar tracker with the addition of a cooling system that will later reduce the temperature and increase the efficiency of solar panel about 0.38% every 1℃ decreases of temperature.

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Section: B Camera Usementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Initial Design of Dual Axis Solar Tracking System with the Addition of Camera and Cooling System

Zharif,

Santoso,

RahmaDewi

2023

politeknologi

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“…The example of the 𝑘 𝐸 value calculation based on ( 5) is shown in (10). This calculation is for v a = 5 V. The other calculations were done the same way as this calculation.…”

Section: A Parameters Measurementmentioning

confidence: 99%

“…The sensorless speed control systems are mainly applied to AC motors [2]- [6] and have not been widely applied to DC motors, although they are commonly used in the control fields, such as robots [7], electric bikes [8], and solar tracking drives [9]- [10]. Therefore, sensorless control of DC motors remains understudied to get the best results.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Two DC Motor Speed Observers on Sensorless Speed Control Systems

Harini

Martanto

Tjendro

2022

JNTETI

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In a sensorless motor speed control system, the motor speed is not directly measured using a speed sensor, but it is estimated using an observer. The sensorless speed control systems are mostly applied to AC motors, while they have not been widely applied to DC motors. Therefore, this paper presents simple observers to estimate the DC motor speed. The observers used were based on the DC motor electric equation. Two methods were used in this research. The first method was the observer estimating the speed based on the resistance inductance values (L-R method), while the second was the observer estimating the motor’s speed only based on the motor’s resistance value (R method). The speed was estimated using armature current (ia) and voltage (va). Therefore, a current and voltage sensor was used. Not only was the observer estimated, but it was also implemented on a real DC motor. An Arduino microcontroller was used to calculate the speed. The LN298 was used as a DC motor drive. Even though the R method is simpler, the test result showed that its speed estimation was less precise than the L-R method. By manual calculation, the motor speed estimation result in the L-R method had an error of 0.14%, while the motor speed estimation results in the R method had an error of 5.03%. The estimation results of motor speed implemented on a real DC motor and microcontroller system in the L-R method had an error of 3.98%, while the result of the estimation of motor speed in the R method had an error of 4.87%.

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“…The control units used in this research are three single-board computers with different models, including Raspberry Pi 3B, Raspberry Pi 4B, and Orange Pi Zero Plus. Single-board computer-based platforms such as Raspberry Pi are frequently used for designing embedded system-based systems [5], [6]. In each control unit, an evaluation is conducted to compare the performance of both computational speed and power consumption of each control unit used.…”

Section: Introductionmentioning

confidence: 99%

Evaluasi Platform Perangkat Keras Sistem Tertanam untuk Unit Kontrol Parkir Otomatis

Wahyu Dewanto,

Agung Fathurrahman,

Agus Bejo

2023

Jurnal Nasional Teknik Elektro dan Teknologi Informasi

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Sistem parkir otomatis merupakan salah satu teknologi manajemen parkir yang saat ini banyak digunakan di berbagai instansi. Sistem parkir otomatis merupakan sistem parkir yang bekerja dengan menempatkan sebuah mesin portal parkir. Mesin portal parkir tersebut kemudian secara otomatis dapat membuka dan menutup portal serta merekam nomor kendaraan saat masuk dan keluar dengan menggunakan sebuah kunci akses berupa smart card. Salah satu kendala dalam penerapan sistem parkir otomatis adalah terjadinya kemacetan apabila kondisi lalu lintas sedang tinggi. Hal tersebut terjadi karena unit kontrol pada sistem parkir otomatis memerlukan waktu yang relatif lama saat melakukan proses pengambilan dan penyimpanan citra dari kamera. Dalam penelitian ini, dilakukan pengujian pada beberapa platform sistem tertanam yang nantinya digunakan sebagai unit kontrol pada sistem parkir otomatis, yaitu Raspberry Pi 3B, Raspberry Pi 4B, dan Orange Pi Zero Plus. Tujuan pengujian tersebut adalah untuk mencari platform unit kontrol terbaik dengan beberapa kriteria, yaitu memiliki waktu respons tercepat saat mengambil citra, memiliki waktu respons tercepat saat menyimpan citra, dan memiliki konsumsi daya yang rendah. Dari pengujian yang dilakukan, didapatkan hasil bahwa platform Raspberry Pi 4B memiliki waktu respons tercepat untuk mengambil dan menyimpan citra dengan waktu rata-rata sebesar 1.827,9 ms, sedangkan konsumsi daya terendah dicapai oleh platform Orange Pi Zero Plus dengan nilai sebesar 1,9 W. Dari hasil pengujian yang telah dilakukan, Raspberry Pi 4B direkomendasikan sebagai unit kontrol pada sistem parkir otomatis apabila sistem parkir otomatis memerlukan perangkat dengan kinerja tinggi. Sementara itu, jika sistem parkir otomatis memerlukan perangkat yang hemat daya, Orange Pi Zero Plus direkomendasikan sebagai unit kontrol pada sistem parkir otomatis.

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

Cited by 4 publications

References 3 publications

Initial Design of Dual Axis Solar Tracking System with the Addition of Camera and Cooling System

Initial Design of Dual Axis Solar Tracking System with the Addition of Camera and Cooling System

Comparison of Two DC Motor Speed Observers on Sensorless Speed Control Systems

Evaluasi Platform Perangkat Keras Sistem Tertanam untuk Unit Kontrol Parkir Otomatis

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