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3D IoT System for Environmental and Energy Consumption Monitoring System

Author

Listed:
  • Bruno Mataloto

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

  • Daniel Calé

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

  • Kaiser Carimo

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

  • Joao C. Ferreira

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

  • Ricardo Resende

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

Abstract

Energy consumption in buildings depends on the local climate, building characteristics, and user behavior. Focusing on user interaction, this research work developed a novel approach to monitoring and interaction with local users by providing in situ context information through graphic descriptions of energy consumption and indoor/outdoor environment parameters: temperature, luminosity, and humidity, which are routinely measured in real-time and stored to identify consumption patterns and other savings actions. To involve local users, collected data are represented in 3D color representation using building 3d models. A simplified color scale depicts environmental comfort (low/comfortable/high temperature/relative humidity) and energy consumption (above/below usual patterns). We found that these indices induced user commitment and increased their engagement and participation in saving actions like turning off lights and better management of air conditioning systems.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1495-:d:490783
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    References listed on IDEAS

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    1. Mohamed El-Sayed M. Essa & Ahmed M. El-shafeey & Amna Hassan Omar & Adel Essa Fathi & Ahmed Sabry Abo El Maref & Joseph Victor W. Lotfy & Mohamed Saleh El-Sayed, 2023. "Reliable Integration of Neural Network and Internet of Things for Forecasting, Controlling, and Monitoring of Experimental Building Management System," Sustainability, MDPI, vol. 15(3), pages 1-29, January.
    2. 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.
    3. Bassem Jamoussi & Asad Abu-Rizaiza & Ali AL-Haij, 2022. "Sustainable Building Standards, Codes and Certification Systems: The Status Quo and Future Directions in Saudi Arabia," Sustainability, MDPI, vol. 14(16), pages 1-24, August.

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