Performance Analysis of Real-Time Solar Data Acquisition Systems
Keywords:
Data acquisition, Edge computing, Fault detection, IoT, Photovoltaic monitoring, Real-time monitoring, RTSDAS, Solar energy systemsAbstract
The increasing deployment of photovoltaic (PV) systems has created a growing demand for intelligent monitoring solutions capable of providing accurate and continuous performance assessment. This paper presents a comprehensive performance analysis of a Real-Time Solar Data Acquisition System (RTSDAS) designed for PV energy monitoring applications. The proposed architecture integrates multi-parameter sensing, embedded edge processing, wireless communication, cloud-based data management, and real-time visualization within an Internet of Things (IoT) framework. Key environmental and electrical parameters, including solar irradiance, temperature, voltage, current, and power output, are acquired, processed, and transmitted for continuous system evaluation. The performance of the RTSDAS is assessed using simulated operational scenarios to examine signal quality, measurement accuracy, communication effectiveness, system efficiency, and fault detection capability. Results demonstrate that the implemented filtering techniques effectively reduce measurement noise while preserving signal integrity, leading to more reliable data acquisition. The PV power output accurately follows irradiance variations, with the system achieving a peak operational efficiency of approximately 98% under optimal conditions. Furthermore, the fault detection mechanism successfully identifies abnormal operating conditions in real time, enabling prompt maintenance intervention and improved system reliability. The findings confirm that the proposed RTSDAS provides a robust, scalable, and cost-effective solution for solar energy monitoring and is well suited for deployment in smart grid, microgrid, and distributed renewable energy environments.
References
G. C. G. de Melo, I. C. Torres, Í. B. Q. de Araújo, D. B. Brito and E. De A. Barboza, “A low-cost IoT system for real-time monitoring of climatic variables and photovoltaic generation for smart grid application,” Sensors, vol. 21, no. 9, May 2021.
K. Khaleel, T. H. Atiya and A. M. T. I. Al—Naib, “Design and development of real-time data acquisition of photovoltaic panel parameters via IoT,” NTU Journal of Renewable Energy, vol. 3, no. 1, pp. 1–8, 2022.
A. Ftirich, B. Bouaziz, and F. Bacha, “Real-time monitoring for a building-integrated photovoltaic system based on the Internet of Things and a web application,” Engineering, Technology and Applied Science Research, vol. 14, no. 4, pp. 15931–15937, Aug. 2024.
A. Barbosa, H. Mubarak, F. Mohammadi, M. J. Sanjari and M. Saif, “A real-time IoT-based data acquisition and monitoring system for photovoltaic applications,” 2024 3rd International Conference on Power Systems and Electrical Technology (PSET), Tokyo, Japan, 2024, pp. 667–670.
M. U. Akhtar and M. T. Iqbal “Development and evaluation of an Arduino-based data logging system integrated with Microsoft Excel for monitoring on-grid photovoltaic systems,” European Journal of Electrical Engineering and Computer Science, vol. 8, no. 3, 2024.
D. Dobrilovic, “Data acquisition for estimating energy-efficient solar-powered sensor node performance for usage in industrial IoT,” Sustainability, vol. 15, no. 9, Apr. 2023.
N. Salazar-Pena, A. Tabares and A. González-Mancera, “AI-powered dynamic fault detection and performance assessment in photovoltaic systems,” arXiv, 2024.
R. H. Rohman, I. Sulistiyowati, I. Anshory and D. H. R. Saputra, “IoT-based Epever Tracer 1210 MPPT monitoring system using Modbus communication protocol,” JEE, vol. 8, no. 2, pp. 172–186, Nov. 2024.
J. L. Risco-Martín, I.-I. Prado-Rujas, J. Campoy, M. S. Pérez and K. Olcoz, “Advanced simulation-based predictive modelling for solar irradiance sensor farms,” Journal of Simulation, vol. 19, no. 3, pp. 265–282, 2025.
C. Vega-Sanchez, L. Cardinale-Villalobos, L. D. Murillo-Soto, L. G. Leon-Vega, M. Fernandez-Obando, “Design and implementation of a multi-sensor DAQ system for comparative photovoltaic performance analysis,” arXiv, Apr. 2026.
N. Iksan, P. Purwanto and H. Sutanto. “Real-time monitoring of photovoltaic systems and control of electricity supply for smart micro grid-PV using IoT,” TEM Journal, vol. 13, no. 1, pp. 514–523, Feb. 2024.
V. Gupta, M. Sharma, R. Kumar Pachauri and K. N. Dinesh Babu, “A low-cost real-time IoT enabled data acquisition system for monitoring of PV system,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, vol. 43, no. 20, pp. 2529–2543, 2020.
M. Ş. Kalay, B. Kılıç and Ş. Sağlam, “Systematic review of the data acquisition and monitoring systems of photovoltaic panels and arrays,” Solar Energy, vol. 244, pp. 47–64, Sept. 2022.
K. Z. Mostofa and M. A. Islam, “Creation of an Internet of Things (IoT) system for the live and remote monitoring of solar photovoltaic facilities,” Energy Reports, vol. 9, pp. 422–427, Oct. 2023.
M. A. A. Radia, M. K. El Nimr and A. S. Atlam, “IoT-based wireless data acquisition and control system for photovoltaic module performance analysis,” e-Prime – Advances in Electrical Engineering, Electronics and Energy, vol. 6, Dec. 2023.
A. M. T. I. Al-Naib and M. I. Mohammed, “IoT-based real time data acquisition of PV panel,” 2023 International Conference on Engineering, Science and Advanced Technology (ICESAT), Mosul, Iraq, 2023, pp. 169–173.
W. He, M. J. A. Baig and M. T. Iqbal, “An open-source supervisory control and data acquisition architecture for photovoltaic system monitoring using ESP32, banana Pi M4, and Node-RED,” Energies, vol. 17, no. 10, May 2024.
N. H. Alombah, A. Harrison, J. N. Mungwe, F. F. C. Vincelas and H. F. Bertrand, “Trio-PV monitor: A smart IoT-based instrument for continuous and reliable monitoring of solar PV installations,” Engineering Proceedings, vol. 56, no. 1, 2023.
H. Marulasiddappa, O. Divyashree, T Reddy Jhansi and Radha S, “IoT- based solar power monitoring,” International Journal of Engineering Research & Technology, vol. 11, no. 5, pp. 279–283, 2023.
T. Domínguez-Bolaño, V. Barral, C. J. Escudero, J. A. García-Naya “An IoT system for a smart campus: Challenges and solutions illustrated over several real-world use cases,” Internet of Things, vol. 25, Apr. 2024.
M. F. Rafy, “Real-time control and monitoring of photovoltaic arrays using RTDS and BeagleBoard technology,” arXiv, 2024.
