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Electric Energy Management in Buildings Based on the Internet of Things: A Systematic Review

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  • Gleydson de Oliveira Cavalcanti

    (Federal Institute of Education, Science and Technology of Rio Grande do Norte, Campus—Natal Central, Research Centre in Sustainable Enterprise, Av. Sen. Salgado Filho, 1559, Tirol, Natal 59015-000, Brazil)

  • Handson Claudio Dias Pimenta

    (Federal Institute of Education, Science and Technology of Rio Grande do Norte, Campus—Natal Central, Research Centre in Sustainable Enterprise, Av. Sen. Salgado Filho, 1559, Tirol, Natal 59015-000, Brazil)

Abstract

The purpose of this paper is to uncover how the process of managing electricity in buildings based on the Internet of Things occurs. In particular, the work seeks to depict the factors affecting electricity consumption and management, as well as the application of the Internet of Things in energy management. A systematic literature review is used to examine the breadth of the electric energy management literature, encompassing bibliometric and thematic analysis based on an established procedure. The findings show the evolution of this field within key research networks with a few papers covering important elements of energy management, such as energy use, consumption and monitoring, assessment, and planning, in an integrative manner. Within this field, lacking in theory and practice, the originality of the work is the assembly of electric energy management into a conceptual framework based on real-time consumption and the Internet of Things (IoT). Indeed, the framework brings together the breadth of factors affecting consumption, energy use, and improvements that have been dispersed across the literature into one place. This framework, therefore, represents a stage towards an integrative view of IoT electric energy management and subsequent enhancement of theory and energy efficiency adoption.

Suggested Citation

  • Gleydson de Oliveira Cavalcanti & Handson Claudio Dias Pimenta, 2023. "Electric Energy Management in Buildings Based on the Internet of Things: A Systematic Review," Energies, MDPI, vol. 16(15), pages 1-29, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5753-:d:1208612
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    References listed on IDEAS

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    1. Maria G. Ioannides & Anastasios P. Stamelos & Stylianos A. Papazis & Erofili E. Stamataki & Michael E. Stamatakis, 2024. "Internet of Things-Based Control of Induction Machines: Specifics of Electric Drives and Wind Energy Conversion Systems," Energies, MDPI, vol. 17(3), pages 1-28, January.

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