IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i3p1495-d490783.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/3/1495/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/3/1495/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sun, Kaiyu & Hong, Tianzhen & Taylor-Lange, Sarah C. & Piette, Mary Ann, 2016. "A pattern-based automated approach to building energy model calibration," Applied Energy, Elsevier, vol. 165(C), pages 214-224.
    2. Owens, J. & Wilhite, H., 1988. "Household energy behavior in Nordic countries—an unrealized energy saving potential," Energy, Elsevier, vol. 13(12), pages 853-859.
    3. Raatikainen, Mika & Skön, Jukka-Pekka & Leiviskä, Kauko & Kolehmainen, Mikko, 2016. "Intelligent analysis of energy consumption in school buildings," Applied Energy, Elsevier, vol. 165(C), pages 416-429.
    4. Sebastien Houde, Annika Todd, Anant Sudarshan, June A. Flora , and K. Carrie Armel, 2013. "Real-time Feedback and Electricity Consumption: A Field Experiment Assessing the Potential for Savings and Persistence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    5. Blyth, William & Bradley, Richard & Bunn, Derek & Clarke, Charlie & Wilson, Tom & Yang, Ming, 2007. "Investment risks under uncertain climate change policy," Energy Policy, Elsevier, vol. 35(11), pages 5766-5773, November.
    6. Yohanis, Yigzaw Goshu, 2012. "Domestic energy use and householders' energy behaviour," Energy Policy, Elsevier, vol. 41(C), pages 654-665.
    7. Sütterlin, Bernadette & Brunner, Thomas A. & Siegrist, Michael, 2011. "Who puts the most energy into energy conservation? A segmentation of energy consumers based on energy-related behavioral characteristics," Energy Policy, Elsevier, vol. 39(12), pages 8137-8152.
    8. Diogo Santos & João C. Ferreira, 2019. "IoT Power Monitoring System for Smart Environments," Sustainability, MDPI, vol. 11(19), pages 1-24, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bindu Shrestha & Sudarshan R. Tiwari & Sushil B. Bajracharya & Martina M. Keitsch & Hom B. Rijal, 2021. "Review on the Importance of Gender Perspective in Household Energy-Saving Behavior and Energy Transition for Sustainability," Energies, MDPI, vol. 14(22), pages 1-18, November.
    2. Mohamed, Ahmed M.A. & Al-Habaibeh, Amin & Abdo, Hafez & Elabar, Sherifa, 2015. "Towards exporting renewable energy from MENA region to Europe: An investigation into domestic energy use and householders’ energy behaviour in Libya," Applied Energy, Elsevier, vol. 146(C), pages 247-262.
    3. Romanov, D. & Leiss, B., 2022. "Geothermal energy at different depths for district heating and cooling of existing and future building stock," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    4. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "Energy-Related Behaviour of Consumers from the Silesia Province (Poland)—Towards a Low-Carbon Economy," Energies, MDPI, vol. 14(8), pages 1-23, April.
    5. Ramachandra, T.V. & Bajpai, Vishnu & Kulkarni, Gouri & Aithal, Bharath H. & Han, Sun Sheng, 2017. "Economic disparity and CO2 emissions: The domestic energy sector in Greater Bangalore, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1331-1344.
    6. Vassileva, Iana & Dahlquist, Erik & Wallin, Fredrik & Campillo, Javier, 2013. "Energy consumption feedback devices’ impact evaluation on domestic energy use," Applied Energy, Elsevier, vol. 106(C), pages 314-320.
    7. Mo, Jian-Lei & Schleich, Joachim & Zhu, Lei & Fan, Ying, 2015. "Delaying the introduction of emissions trading systems—Implications for power plant investment and operation from a multi-stage decision model," Energy Economics, Elsevier, vol. 52(PB), pages 255-264.
    8. Santos, Lúcia & Soares, Isabel & Mendes, Carla & Ferreira, Paula, 2014. "Real Options versus Traditional Methods to assess Renewable Energy Projects," Renewable Energy, Elsevier, vol. 68(C), pages 588-594.
    9. Behroozeh, Samira & Hayati, Dariush & Karami, Ezatollah, 2022. "Determining and validating criteria to measure energy consumption sustainability in agricultural greenhouses," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    10. Brown, Joe & Hamoudi, Amar & Jeuland, Marc & Turrini, Gina, 2017. "Seeing, believing, and behaving: Heterogeneous effects of an information intervention on household water treatment," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 141-159.
    11. Möst, Dominik & Keles, Dogan, 2010. "A survey of stochastic modelling approaches for liberalised electricity markets," European Journal of Operational Research, Elsevier, vol. 207(2), pages 543-556, December.
    12. Niemelä, Tuomo & Kosonen, Risto & Jokisalo, Juha, 2016. "Cost-optimal energy performance renovation measures of educational buildings in cold climate," Applied Energy, Elsevier, vol. 183(C), pages 1005-1020.
    13. Joachim P. Hasebrook & Leonie Michalak & Anna Wessels & Sabine Koenig & Stefan Spierling & Stefan Kirmsse, 2022. "Green Behavior: Factors Influencing Behavioral Intention and Actual Environmental Behavior of Employees in the Financial Service Sector," Sustainability, MDPI, vol. 14(17), pages 1-35, August.
    14. Nieves García-de-Frutos & José Manuel Ortega-Egea & Javier Martínez-del-Río, 2018. "Anti-consumption for Environmental Sustainability: Conceptualization, Review, and Multilevel Research Directions," Journal of Business Ethics, Springer, vol. 148(2), pages 411-435, March.
    15. Luciano Cavalcante Siebert & Alexandre Rasi Aoki & Germano Lambert-Torres & Nelson Lambert-de-Andrade & Nikolaos G. Paterakis, 2020. "An Agent-Based Approach for the Planning of Distribution Grids as a Socio-Technical System," Energies, MDPI, vol. 13(18), pages 1-13, September.
    16. Hana Begić Juričić & Hrvoje Krstić, 2025. "Analyzing Patterns and Predictive Models of Energy and Water Consumption in Schools," Sustainability, MDPI, vol. 17(12), pages 1-19, June.
    17. Virkki-Hatakka, Terhi & Luoranen, Mika & Ikävalko, Markku, 2013. "Differences in perception: How the experts look at energy efficiency (findings from a Finnish survey)," Energy Policy, Elsevier, vol. 60(C), pages 499-508.
    18. Qingsong Wang & Ping Liu & Xueliang Yuan & Xingxing Cheng & Rujian Ma & Ruimin Mu & Jian Zuo, 2015. "Structural Evolution of Household Energy Consumption: A China Study," Sustainability, MDPI, vol. 7(4), pages 1-14, April.
    19. Timo Busch & Nils Lehmann & Volker H. Hoffmann, 2012. "Corporate Social Responsibility, Negative Externalities, and Financial Risk: The Case of Climate Change," Tinbergen Institute Discussion Papers 12-102/IV/DSF40, Tinbergen Institute.
    20. Zhang, Dongjie & Liu, Pei & Ma, Linwei & LI, Zheng, 2013. "A multi-period optimization model for planning of China's power sector with consideration of carbon dioxide mitigation—The importance of continuous and stable carbon mitigation policy," Energy Policy, Elsevier, vol. 58(C), pages 319-328.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1495-:d:490783. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.