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A Novel Strategy for Smart Building Convergence Based on the SmartLVGrid Metamodel

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  • Rubens A. Fernandes

    (Department of Electricity, Federal University of Amazonas, Manaus 69067-005, Brazil
    Embedded Systems Laboratory, State University of Amazonas, Manaus 69050-020, Brazil
    Programa de Pós-Graduação em Engenharia Elétrica–PPGEE, Federal University of Amazonas, Manaus 69067-005, Brazil)

  • Raimundo C. S. Gomes

    (Embedded Systems Laboratory, State University of Amazonas, Manaus 69050-020, Brazil)

  • Ozenir Dias

    (Department of Electricity, Federal University of Amazonas, Manaus 69067-005, Brazil
    Programa de Pós-Graduação em Engenharia Elétrica–PPGEE, Federal University of Amazonas, Manaus 69067-005, Brazil)

  • Celso Carvalho

    (Programa de Pós-Graduação em Engenharia Elétrica–PPGEE, Federal University of Amazonas, Manaus 69067-005, Brazil
    Departamento de Eletrônica e Computação–DTEC, Federal University of Amazonas, Manaus 69067-005, Brazil
    Centro de P&D em Tecnologia Eletrônica e da Informação–CETELI, Federal University of Amazonas, Manaus 69067-005, Brazil)

Abstract

Smart buildings provide opportunities for technological transformations in building environments to improve resource management, comfort, and efficiency of the systems present in these facilities. For this, Internet of Things (IoT) solutions contribute, with monitoring and remote control features, to automate these environments. However, these solutions can promote the disposal or replacement of outdated but still-needed legacy systems. Thus, a reference model that uses retrofit techniques to update pre-existing systems would be an alternative to enable smart building convergence. The lack of models that advocate this type of strategy provides an opportunity for the emergence of methods capable of filling this gap. Thus, this work presents a strategy for implementing monitoring, control, and communication resources to achieve smart building convergence in legacy building systems. This strategy consists of the use of retrofit techniques based on the adaptation of the SmartLVGrid metamodel. To validate this proposal, we developed hardware platforms and, respectively, their firmware to implement the premises established in a legacy building lighting circuit. The results obtained present a new possibility of implementing smart buildings from the retrofit of legacy infrastructures, as the pre-existing building lighting circuit obtained new functionalities and was preserved as much as possible.

Suggested Citation

  • Rubens A. Fernandes & Raimundo C. S. Gomes & Ozenir Dias & Celso Carvalho, 2022. "A Novel Strategy for Smart Building Convergence Based on the SmartLVGrid Metamodel," Energies, MDPI, vol. 15(3), pages 1-26, January.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1016-:d:737980
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    References listed on IDEAS

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    1. R. Claudio S. Gomes & Carlos Costa & Jose Silva & Jose Sicchar, 2019. "SmartLVGrid Platform—Convergence of Legacy Low-Voltage Circuits toward the Smart Grid Paradigm," Energies, MDPI, vol. 12(13), pages 1-23, July.
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    Cited by:

    1. Rubens A. Fernandes & Raimundo C. S. Gomes & Ozenir Dias & Celso Carvalho & Israel G. Torné & Jozias P. Oliveira & Carlos T. C. Júnior, 2022. "A Retrofit Strategy for Real-Time Monitoring of Building Electrical Circuits Based on the SmartLVGrid Metamodel," Energies, MDPI, vol. 15(23), pages 1-31, December.
    2. Rubens A. Fernandes & Raimundo C. S. Gomes & Carlos T. Costa & Celso Carvalho & Neilson L. Vilaça & Lennon B. F. Nascimento & Fabricio R. Seppe & Israel G. Torné & Heitor L. N. da Silva, 2023. "A Demand Forecasting Strategy Based on a Retrofit Architecture for Remote Monitoring of Legacy Building Circuits," Sustainability, MDPI, vol. 15(14), pages 1-37, July.

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    1. Rubens A. Fernandes & Raimundo C. S. Gomes & Ozenir Dias & Celso Carvalho & Israel G. Torné & Jozias P. Oliveira & Carlos T. C. Júnior, 2022. "A Retrofit Strategy for Real-Time Monitoring of Building Electrical Circuits Based on the SmartLVGrid Metamodel," Energies, MDPI, vol. 15(23), pages 1-31, December.
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