| Title: | IoT-based off-grid solar power supply : design, implementation, and case study of energy consumption control using forecasted solar irradiation |
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| Authors: | ID Španer, Marijan (Author) ID Truntič, Mitja (Author) ID Hercog, Darko (Author) |
| Files: | applsci-15-12018.pdf (5,16 MB) MD5: 856C0D27EBFEA9F91B9A78E006B5597A
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Abstract: | This article presents the development and implementation of an IoT-enabled, off-grid solar power supply prototype designed to power a range of electrical devices. The developed system comprises a Photovoltaic panel, a Maximum Power Point Tracking (MPPT) charger, a 2.5 kWh/24 V high-performance LiFePO4 battery bank with a Battery Management System, an embedded controller with IoT connectivity, and DC/DC and DC/AC converters. The PV panel serves as the primary energy source, with the MPPT controller optimizing battery charging, while the DC/DC and DC/AC converters supply power to the connected electrical devices. The article includes a case study of a developed platform for powering an information and advertising system. The system features a predictive energy management algorithm, which optimizes the appliance operation based on daily solar irradiance forecasts and real-time battery State-of-Charge monitoring. The IoT-enabled controller obtains solar irradiance forecasts from an online meteorological service via API calls and uses these data to estimate energy availability for the next day. Using this prediction, the system schedules and prioritizes the operations of connected electrical devices dynamically to optimize the performance and prevent critical battery discharge. The IoT-based controller is equipped with both Wi-Fi and an LTE modem, enabling communication with online services via wireless or cellular networks. |
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| Keywords: | energy consumption control, forecasted solar irradiation, power management, off-grid power supply, photovoltaic, solar, IoT, LTE, Wi-Fi, ESP32 |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 20.10.2025 |
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| Article acceptance date: | 10.11.2025 |
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| Publication date: | 12.11.2025 |
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| Publisher: | MDPI |
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| Year of publishing: | 2025 |
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| Number of pages: | 28 str. |
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| Numbering: | Vol. 15, iss. 22, [article no.] 12018 |
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| PID: | 20.500.12556/DKUM-95959  |
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| UDC: | 621.3 |
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| ISSN on article: | 2076-3417 |
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| COBISS.SI-ID: | 257165571  |
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| DOI: | 10.3390/app152212018  |
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| Copyright: | © 2025 by the authors
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| Publication date in DKUM: | 14.11.2025 |
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| Views: | 182 |
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| Downloads: | 12 |
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| Metadata: |  |
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| Categories: | Misc.
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