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Design of an Ultra-Low Powered Data-Logger for Stand-Alone PV Energy Systems

Author

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  • Asif Ur Rehman
  • M. Tariq Iqbal

Abstract

This paper presents an open-source, ultra-low powered data-logger for off-grid photovoltaic (PV) energy systems. Deep-sleep mode of ESP32-S2 microcontroller is used along with voltage, current, and light sensors for logging the data of PV energy system to an external micro SD card. A toggle switch is used to switch the operational modes of data-logger between deep-sleep and web-server modes. Real-time PV data can be monitored in a local web-portal programmed in the microcontroller. The same web-portal is also used to check and download the historical data of a PV energy system. The energy consumption of the designed system is 7.33mWh during deep-sleep mode and 425mWh during the web-server mode. The total cost of the designed data-logger is C$ 30.

Suggested Citation

  • Asif Ur Rehman & M. Tariq Iqbal, 2020. "Design of an Ultra-Low Powered Data-Logger for Stand-Alone PV Energy Systems," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 4(6), November.
    • Handle: RePEc:epw:ejece0:v:4:y:2020:i:6:id:19261
    DOI: 10.24018/ejece.2020.4.6.261
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    Cited by:

    1. Samuel Okari Omweno & Daniel Ketui & Calford Otieno, 2023. "Voice and Gesture Controlled D.C. Motor Fan’s Rotational Speed and Direction," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 7(5), pages 1-6, September.
    2. Asad Mehmood Hassan & Muhammad Tariq Iqbal, 2025. "Feasibility Study of an Off-Grid Solar PV System for a Residential Application in Model Town, Lahore," European Journal of Energy Research, European Open Science, vol. 5(5), pages 1-5, September.
    3. Muhammad Umair Akhtar & Muhammad Tariq Iqbal, 2024. "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, European Open Science, vol. 8(3), pages 29-37, May.

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