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LPWAN Networks for Energy Meters Reading and Monitoring Power Supply Network in Intelligent Buildings

Author

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  • Mariusz Nowak

    (Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland)

  • Piotr Derbis

    (Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland)

  • Krzysztof Kurowski

    (Poznan Supercomputing and Networking Center, Institute of Bioorganic Chemistry of the Polish Academy of Sciences, Jana Pawła II 10, 61-139 Poznan, Poland)

  • Rafał Różycki

    (Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland)

  • Grzegorz Waligóra

    (Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland)

Abstract

In this paper the idea of functioning of Building Management Systems and Object Management Systems in intelligent buildings is presented. New functionalities of intelligent buildings resulting from the introduction of microgeneration are described. Low-Power Wide-Area Networks (LPWAN) are characterized and compared. The selected Long-Range (LoRaWAN) technology is tested for its use for communication with energy meters and monitoring the power supply network in intelligent buildings. In the paper a new system for reading and monitoring the network is proposed, consisting of hardware, communication, and application layers. A key element of the system is a specially developed converter, which has been designed and tested in a real urban environment. Using our solution in practice could allow to change the architecture of a measurement data acquisition system to much more flexible and efficient.

Suggested Citation

  • Mariusz Nowak & Piotr Derbis & Krzysztof Kurowski & Rafał Różycki & Grzegorz Waligóra, 2021. "LPWAN Networks for Energy Meters Reading and Monitoring Power Supply Network in Intelligent Buildings," Energies, MDPI, vol. 14(23), pages 1-14, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:23:p:7924-:d:688306
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    References listed on IDEAS

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    Cited by:

    1. Mariusz Nowak & Rafał Różycki & Grzegorz Waligóra & Joanna Szewczyk & Adrian Sobiesierski & Grzegorz Sot, 2022. "Data Processing with Predictions in LoRaWAN," Energies, MDPI, vol. 16(1), pages 1-24, December.

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