Solar Panel Monitoring System with Microcontroller Based Data Storage

Andi Junaidi (1), A. Agus Yogianto (2), Denny Setiawan (3), Arga Rifqi Naufal (4)
(1) Electrical Engineering Departement Institut Teknologi PLN,Duri Kosambi, Jakarta, Indonesia
(2) Electrical Engineering Departement Institut Teknologi PLN,Duri Kosambi, Jakarta, Indonesia
(3) Electrical Engineering Departement Institut Teknologi PLN,Duri Kosambi, Jakarta, Indonesia
(4) Electrical Engineering Departement Institut Teknologi PLN,Duri Kosambi, Jakarta, Indonesia
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How to cite (IJASEIT) :
Junaidi, A., Yogianto, A. A., Setiawan, D., & Naufal, A. R. (2025). Solar Panel Monitoring System with Microcontroller Based Data Storage. International Journal of Advanced Science Computing and Engineering, 7(1), 17–21. https://doi.org/10.62527/ijasce.7.1.239

Solar photovoltaic (PV) systems have been widely implemented in diverse applications, including buildings, traffic light systems, and public infrastructure, to reduce reliance on fossil fuels. However, the effectiveness of these systems depends on detailed and user-friendly monitoring, which remains a challenge due to cost and complexity barriers. This study addresses this gap by developing a low-cost, scalable PV monitoring system that integrates microcontroller-based sensors and data loggers to measure current, voltage, and power output in real time. The system is designed to be easily deployable and accessible, enabling broader adoption for renewable energy management. Using an experimental methodology, the system’s accuracy was validated through voltage sensor error analysis, yielding an average error of 0.07%, demonstrating high precision. The proposed solution not only enhances monitoring capabilities but also contributes to the optimization of solar energy systems by providing reliable data for performance evaluation. This research underscores the potential of affordable monitoring tools to support the sustainable expansion of solar PV technology.

S. I. Khan, S. A. Raihan, M. Habibullah, and S. F. Abrar, "Reducing the cost of solar home system using the data from data logger," in Proc. IEEE Int. Conf. Smart Grid Smart Cities (ICSGSC), Jul. 2017, pp. 37-41, doi: 10.1109/icsgsc.2017.8038546.

S. A. Sarkar et al., "Design of solar panel monitoring system using ESP32 & IOT," in Proc. IEEE Int. Conf. Smart Power Control Renew. Energy (ICSPCRE), Jul. 2024, pp. 1-6, doi:10.1109/icspcre62303.2024.10675117.

S. Lee et al., "Design of solar panels efficiency monitoring system," in Proc. IEEE Int. Conf. Consum. Electron.-Asia (ICCE-Asia), Nov. 2020, pp. 1-4, doi: 10.1109/ICC M. P. Fatahillah, "Perancangan monitoring cuaca berbasis IoT tenaga matahari menggunakan panel surya 20 Wp," J. MeSTeRI, vol. 1, no. 1, pp. 16-26, 2022.E-Asia49877.2020.9276867.

K. Jeet, A. S. Som, and R. Pahuja, "Development of health monitoring kit for solar power house on IoT," in Proc. Int. Conf. Trends Eng. Syst. Technol. (ICTEST), Apr. 2024, pp. 1-6, doi:10.1109/ictest60614.2024.10576185.

N. D. Parappully et al., "IoT based solar performance monitoring system," in Proc. Int. Conf. Smart Comput. Commun. (ICSCC), Aug. 2023, pp. 627-631, doi: 10.1109/icscc59169.2023.10334989.

S. T. Hasan et al., "IoT based solar power monitoring & data logger system," in Proc. IEEE Int. Women Eng. (WIE) Conf. Electr. Comput. Eng. (WIECON-ECE), Dec. 2022, pp. 182-187, doi:10.1109/wiecon-ece57977.2022.10150511.

R. T. Wahyuni and Y. P. Wijaya, "Solar panel performance monitoring system in sensor node," in Proc. Int. Symp. Electron. Smart Devices (ISESD), Nov. 2016, pp. 92-96, doi: 10.1109/isesd.2016.7886699.

A. Q. S. Bahri, Y. W. M. Yusof, and M. Kassim, "Solar powered smart water monitoring system based on IoT and Blynk platform," in Proc. IEEE Int. Conf. Autom. Control Intell. Syst. (I2CACIS), Jun. 2023, pp. 189-194, doi: 10.1109/i2cacis57635.2023.10193008.

N. Karnobatev, "Develop test and implementation of low cost DC power data logger," in Proc. Int. Sci. Conf. Electron. (ET), Sep. 2020, pp. 1-4, doi: 10.1109/ET50336.2020.9238184.

T. A. Priatama, Y. Apriani, and M. Danus, "Sistem monitoring solar cell menggunakan mikrokontroller Arduino Uno R3 dan data logger secara real time," in Proc. SNITT-Politek. Negeri Balikpapan, 2020, pp. 250-251.

M. Said, S. Fuady, and O. Saputra, "Desain dan implementasi sistem monitoring panel surya 1200 Wp berbasis data logger," Jambura J. Electr. Electron. Eng., vol. 4, no. 2, pp. 218-223, Jul. 2022, doi:10.37905/jjeee.v4i2.14485.

P. Putu, T. Winata, I. W. A. Wijaya, and I. M. Suartika, "Rancang bangun sistem monitoring output dan pencatatan data pada panel surya berbasis mikrokontroler Arduino," J. Ilm. Spektrum, vol. 3, no. 1, pp. 1-6, 2016.

B. Suryanto, "Sistem monitoring panel surya berbasis website," MSI Trans. Educ., vol. 2, no. 1, p. 1, 2021.

H. Suryawinata, D. Purwanti, and S. Sunardiyo, "Sistem monitoring pada panel surya menggunakan data logger berbasis Atmega 328 dan real time clock DS1307," J. Tek. Elektro, vol. 9, no. 1, pp. 30-36, 2017.

R. Alfita, K. Joni, and F. D. Darmawan, "Design of monitoring battery solar power plant and load control system based internet of things," TEKNIK, vol. 42, no. 1, pp. 35-44, Jan. 2021, doi:10.14710/teknik.v42i1.29687.

J. Lianda, J. Custer, and Adam, "Sistem monitoring panel surya menggunakan data logger berbasis Arduino Uno," in Proc. Semin. Nas. Ind. Teknol., 2019, pp. 381-388.

D. Pratama and A. Asnil, "Sistem monitoring panel surya secara realtime berbasis Arduino Uno," MSI Trans. Educ., vol. 2, no. 1, pp. 19-32, Feb. 2021, doi: 10.46574/mted.v2i1.46.

W. Yandi, "Prototipe data logging monitoring system untuk konversi energi panel surya polycrystalline 100 Wp berbasis Arduino Uno," J. Ecotipe, vol. 7, no. 1, pp. 55-60, Apr. 2020, doi:10.33019/ecotipe.v7i1.1486.

M. P. Fatahillah, "Perancangan monitoring cuaca berbasis IoT tenaga matahari menggunakan panel surya 20 Wp," J. MeSTeRI, vol. 1, no. 1, pp. 16-26, 2022.

M. Mungkin et al., "Perancangan sistem pemantauan panel surya polycrystalline menggunakan teknologi web Firebase berbasis IoT," INTECOMS, vol. 3, no. 2, pp. 319-327, Dec. 2020, doi: 10.31539/intecoms.v3i2.1861.