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IoT Power Monitoring System for Smart Environments

Author

Listed:
  • Diogo Santos

    (ISTAR-IUL, Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisboa, Portugal)

  • João C. Ferreira

    (ISTAR-IUL, Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisboa, Portugal
    INOV INESC Inovação—Instituto de Novas Tecnologias, 1000-029 Lisboa, Portugal)

Abstract

In this research work, we describe the development and subsequent validation of EnerMon a flexible, efficient, edge-computing based Internet of Things (IoT) LoRa (LongRange) System to monitor power consumption. This system provides real-time information and a descriptive analytics process to provide a ‘big picture’ about energy consumption over time and identify energetic waste. The solution is based on Arduinos, current transformer sensors, Raspberry Pi as an application server and LoRa communication alongside a description and information on what is to be expected of it, describing the development process from the design phase to the validation phase with all steps in between. Due to LoRa low debit communication, an edge computing approach was implemented to create a real-time monitoring process based on this technology. This solution, with the help of descriptive analysis, allows the creation of an energetic local footprint, using a low-cost developed solution for less than 80€ per three-phases monitoring device. This solution also allows for easy installation without communication range and obstacles limitations making it easy use in different situations from big complex building to smaller consumers, such as electric boilers, or simply to measure the energetic footprint of tourists in a small local tourist apartment.

Suggested Citation

  • Diogo Santos & João C. Ferreira, 2019. "IoT Power Monitoring System for Smart Environments," Sustainability, MDPI, vol. 11(19), pages 1-24, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5355-:d:271550
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    Citations

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    Cited by:

    1. Bruno Mataloto & Daniel Calé & Kaiser Carimo & Joao C. Ferreira & Ricardo Resende, 2021. "3D IoT System for Environmental and Energy Consumption Monitoring System," Sustainability, MDPI, vol. 13(3), pages 1-19, February.
    2. Jae Hong Park & Phil Goo Kang & Eunseok Kim & Tae Woo Kim & Gahee Kim & Heejeong Seok & Jinwon Seo, 2021. "Introduction of IoT-Based Surrogate Parameters in the Ex-Post Countermeasure of Industrial Sectors in Integrated Permit Policy," Sustainability, MDPI, vol. 13(23), pages 1-22, December.
    3. Karam M. Al-Obaidi & Mohataz Hossain & Nayef A. M. Alduais & Husam S. Al-Duais & Hossein Omrany & Amirhosein Ghaffarianhoseini, 2022. "A Review of Using IoT for Energy Efficient Buildings and Cities: A Built Environment Perspective," Energies, MDPI, vol. 15(16), pages 1-32, August.
    4. Susie Ruqun WU & Gabriela Shirkey & Ilke Celik & Changliang Shao & Jiquan Chen, 2022. "A Review on the Adoption of AI, BC, and IoT in Sustainability Research," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
    5. Justyna Smagowicz & Cezary Szwed & Dawid Dąbal & Pavel Scholz, 2022. "A Simulation Model of Power Demand Management by Manufacturing Enterprises under the Conditions of Energy Sector Transformation," Energies, MDPI, vol. 15(9), pages 1-27, April.
    6. M. Usman Saleem & Mustafa Shakir & M. Rehan Usman & M. Hamza Tahir Bajwa & Noman Shabbir & Payam Shams Ghahfarokhi & Kamran Daniel, 2023. "Integrating Smart Energy Management System with Internet of Things and Cloud Computing for Efficient Demand Side Management in Smart Grids," Energies, MDPI, vol. 16(12), pages 1-21, June.

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