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Smart Power Meters in Augmented Reality Environment for Electricity Consumption Awareness

Author

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  • Leopoldo Angrisani

    (Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università di Napoli Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Francesco Bonavolontà

    (Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università di Napoli Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Annalisa Liccardo

    (Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università di Napoli Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Rosario Schiano Lo Moriello

    (Dipartimento di Ingegneria Industriale, Università di Napoli Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Francesco Serino

    (Nexus Tlc, Via Salvo D’Acquisto 1, 80010 Quarto, Italy
    These authors contributed equally to this work.)

Abstract

Reducing or optimizing electrical power consumption is one of the most fundamental goals within the current frameworks of smart energy management. This approach would be spread from the industrial plants, characterized by high consumptions often well distributed throughout the day, down to the domestic utilities, typically discontinuous and with limited consumption at the single user level. More specifically, it is desirable for the latter case to be able to control in a simple and effective way the power consumption of typical household appliances by means of technologies that are already used and spread (such as tablets and smartphones) to become aware of their actual impact, both economic and environmental. To this aim, the authors present the proof-of-principle of user-friendly monitoring system for power consumption awareness based on the recent technologies of Internet of Things (IoT) and Augmented Reality (AR). In particular, common devices such as smartphones associated along with appropriate measurement nodes and a suitable app, developed to the purpose, allow consumers to view in AR environment electrical consumption of their domestic electrical loads to consciously decide whether to switch them off. Performance of both sensor nodes and AR environment were preliminarily assessed in either laboratory experiments or actual household context, highlighting the promising effectiveness of the proposed approach.

Suggested Citation

  • Leopoldo Angrisani & Francesco Bonavolontà & Annalisa Liccardo & Rosario Schiano Lo Moriello & Francesco Serino, 2018. "Smart Power Meters in Augmented Reality Environment for Electricity Consumption Awareness," Energies, MDPI, vol. 11(9), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2303-:d:167188
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    References listed on IDEAS

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    1. Hargreaves, Tom & Nye, Michael & Burgess, Jacquelin, 2010. "Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors," Energy Policy, Elsevier, vol. 38(10), pages 6111-6119, October.
    2. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    3. Rafal Weron & Florian Ziel, 2018. "Electricity price forecasting," HSC Research Reports HSC/18/08, Hugo Steinhaus Center, Wroclaw University of Technology.
    4. Shailendra Singh & Abdulsalam Yassine, 2018. "Big Data Mining of Energy Time Series for Behavioral Analytics and Energy Consumption Forecasting," Energies, MDPI, vol. 11(2), pages 1-26, February.
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    2. Leocadio Hontoria & Catalina Rus-Casas & Juan Domingo Aguilar & Jesús C. Hernandez, 2019. "An Improved Method for Obtaining Solar Irradiation Data at Temporal High-Resolution," Sustainability, MDPI, vol. 11(19), pages 1-15, September.

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