Smart energy meter based on a long-range wide-area network for a stand-alone photovoltaic system

Waheb A. Jabbar*, Sanmathy Annathurai, Tajul Ariffin Tajul, M. Fitri Mohd Fauzi

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    20 Citations (SciVal)

    Abstract

    Long-range wide-area network (LoRaWAN) has emerged as a key technology for Internet of Things (IoT) applications worldwide owing to its cost-effectiveness, robustness to interference, low power, licensed-free frequency band, and long-range connectivity, thanks to the adaptive data rate. In this contribution, an IoT-enabled smart energy meter based on LoRaWAN technology (SEM-LoRaWAN) is developed to measure the energy consumption for a photovoltaic (PV) system and send real-time data to the utility/consumers over the Internet for billing/monitoring purposes. The proposed SEM-LoRaWAN is implemented in a PV system to monitor related parameters (i.e., voltage, current, power, energy, light intensity, temperature, and humidity) and update this information to the cloud. A LoRa shield is attached to an Arduino microcontroller with several sensors to gather the required information and send it to a LoRaWAN gateway. We also propose an algorithm to compose data from multiple sensors as payloads and upload these data using the gateway to The Things Network (TTN). The AllThingsTalkMaker IoT server is integrated into the TTN to be accessed using Web/mobile application interfaces. System-level tests are conducted using a fabricated testbed and connected to a solar panel to prove the SEM-LoRaWAN effectiveness in terms of functionality, simplicity, reliability, and cost. The connectivity between the system and users is achieved using smartphones/laptops. Results demonstrate a smooth system operation with detailed and accurate measurements of electrical usage and PV environmental conditions in real-time.
    Original languageEnglish
    Article number116703
    JournalExpert Systems with Applications
    Volume197
    DOIs
    Publication statusPublished (VoR) - 1 Jul 2022

    Funding

    This research was supported by Universiti Malaysia Pahang under the grant scheme number PDU203229.

    FundersFunder number
    Universiti Malaysia PahangPDU203229

      Keywords

      • AllThingsTalkMaker
      • LoRa, LoRaWAN
      • PV System
      • Smart Energy Meter
      • TTN

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