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A More Efficient Technique to Power Home Monitoring Systems Using Controlled Battery Charging

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  • Joaquim Amândio Azevedo

    (Faculty of Exact Sciences and Engineering, University of Madeira, 9020-105 Funchal, Portugal)

  • Filipe Edgar Santos

    (Faculty of Exact Sciences and Engineering, University of Madeira, 9020-105 Funchal, Portugal)

Abstract

Home energy monitoring has recently become a very important issue and a means to reduce energy consumption in the residential sector. Sensors and control systems are deployed at various locations in a house and an intelligent system is used to efficiently manage the consumed energy. Low power communication systems are used to provide low power consumption from a smart meter. Several of these systems are battery operated. Other systems use AC/DC adapters to supply power to sensors and communication systems. However, even using low-power technology, such as ZigBee, the power consumption of a router can be high because it must always be powered on. In this work, to evaluate power consumption, a system for monitoring energy usage and indoor air quality was developed. A technique is proposed to efficiently supply power to the components of the system. All sensor nodes are battery operated, and relays are used to control the battery charging process. In addition, an energy harvesting system based on solar energy was developed to power the proposed system.

Suggested Citation

  • Joaquim Amândio Azevedo & Filipe Edgar Santos, 2021. "A More Efficient Technique to Power Home Monitoring Systems Using Controlled Battery Charging," Energies, MDPI, vol. 14(13), pages 1-16, June.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3846-:d:582615
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    References listed on IDEAS

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    1. Naser Hossein Motlagh & Mahsa Mohammadrezaei & Julian Hunt & Behnam Zakeri, 2020. "Internet of Things (IoT) and the Energy Sector," Energies, MDPI, vol. 13(2), pages 1-27, January.
    2. Giuseppe Desogus & Emanuela Quaquero & Giulia Rubiu & Gianluca Gatto & Cristian Perra, 2021. "BIM and IoT Sensors Integration: A Framework for Consumption and Indoor Conditions Data Monitoring of Existing Buildings," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    3. Jungho Kang & Kwang-Il Hwang, 2016. "A Comprehensive Real-Time Indoor Air-Quality Level Indicator," Sustainability, MDPI, vol. 8(9), pages 1-15, September.
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    Cited by:

    1. Mircea Stefan Simoiu & Ioana Fagarasan & Stephane Ploix & Vasile Calofir, 2021. "Sizing and Management of an Energy System for a Metropolitan Station with Storage and Related District Energy Community," Energies, MDPI, vol. 14(18), pages 1-22, September.
    2. Filipe Quintal, 2022. "Energy Monitoring Technologies," Energies, MDPI, vol. 15(16), pages 1-2, August.

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