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Near-Zero-Energy Building Management Based on Arduino Microcontroller—On-Site Lighting Management Application

Author

Listed:
  • Fathia Chekired

    (Unité de Développement des équipements Solaires UDES/EPST CDER, Tipaza 42415, Algeria)

  • Oussama Taabli

    (École Nationale Polytechnique d’Alger, Alger 16000, Algeria)

  • Zakaria Mehdi Khellili

    (École Nationale Polytechnique d’Alger, Alger 16000, Algeria)

  • Amar Tilmatine

    (Université de Sidi Bel Abbès APELEC Laboratory, Sidi Bel Abbès 22000, Algeria)

  • Aníbal T. de Almeida

    (Institute of Systems and Robotics, Department of Electrical and Computer Engineering, University of Coimbra, Polo II, 3030 Coimbra, Portugal)

  • Laurent Canale

    (CNRS, LAPLACE UMR 5213, 31000 Toulouse, France)

Abstract

Near-Zero-Energy Buildings are a challenge in terms of energy production, storage, consumption and management, but these technological solutions remain financially difficult to access in developing countries. To this end, a complete low-cost and reliable home energy-management prototype was first developed and implemented on a scale model. A PWM charge controller drove the flow of energy produced and consumed in order to ensure the optimization of both the consumption of energy and energy savings. Battery storage was also managed by the home automation module using a set of sensors. The prototype of the scale model incorporated complete energy management of all electrical devices with group priorities through a graphical interface in a real-time mode. After testing this system, the lighting management part was implemented in a large-scale smart solar home. A smart lighting system via a complete algorithm integrated on an Arduino Mega board was then realized and implemented in the life-size house. This first step focuses, above all, on the users’ comfort and, in particular, on the lighting management. The results show that this smart device thus makes it possible to achieve additional energy savings on an essential and yet already energy-efficient device: lighting.

Suggested Citation

  • Fathia Chekired & Oussama Taabli & Zakaria Mehdi Khellili & Amar Tilmatine & Aníbal T. de Almeida & Laurent Canale, 2022. "Near-Zero-Energy Building Management Based on Arduino Microcontroller—On-Site Lighting Management Application," Energies, MDPI, vol. 15(23), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9064-:d:988869
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    References listed on IDEAS

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    Cited by:

    1. Yunho Kim & Yunha Park & Hyuncheol Seo & Jungha Hwang, 2023. "Load Prediction Algorithm Applied with Indoor Environment Sensing in University Buildings," Energies, MDPI, vol. 16(2), pages 1-14, January.

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