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Modeling, Simulation, and Temperature Control of a Thermal Zone with Sliding Modes Strategy

Author

Listed:
  • Frank Florez

    (Faculty of Engineering and Architecture, Universidad Nacional de Colombia, Campus la Nubia, 170003 Manizales, Colombia)

  • Pedro Fernández de Córdoba

    (Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain)

  • José Luis Higón

    (Department of Architectural Graphic Expression, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain)

  • Gerard Olivar

    (Faculty of Exact and Natural Sciences, Universidad Nacional de Colombia, Campus la Nubia, 170003 Manizales, Colombia)

  • John Taborda

    (Faculty of Engineering, Universidad del Magdalena, 470003 Santa Marta, Colombia)

Abstract

To reduce the energy consumption in buildings is necessary to analyze individual rooms and thermal zones, studying mathematical models and applying new control techniques. In this paper, the design, simulation and experimental evaluation of a sliding mode controller for regulating internal temperature in a thermal zone is presented. We propose an experiment with small physical dimensions, consisting of a closed wooden box with heat internal sources to stimulate temperature gradients through operating and shut down cycles.

Suggested Citation

  • Frank Florez & Pedro Fernández de Córdoba & José Luis Higón & Gerard Olivar & John Taborda, 2019. "Modeling, Simulation, and Temperature Control of a Thermal Zone with Sliding Modes Strategy," Mathematics, MDPI, vol. 7(6), pages 1-13, June.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:6:p:503-:d:236587
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    References listed on IDEAS

    as
    1. Huang, Yanjun & Khajepour, Amir & Ding, Haitao & Bagheri, Farshid & Bahrami, Majid, 2017. "An energy-saving set-point optimizer with a sliding mode controller for automotive air-conditioning/refrigeration systems," Applied Energy, Elsevier, vol. 188(C), pages 576-585.
    2. Fiorentini, Massimo & Wall, Josh & Ma, Zhenjun & Braslavsky, Julio H. & Cooper, Paul, 2017. "Hybrid model predictive control of a residential HVAC system with on-site thermal energy generation and storage," Applied Energy, Elsevier, vol. 187(C), pages 465-479.
    3. Smarra, Francesco & Jain, Achin & de Rubeis, Tullio & Ambrosini, Dario & D’Innocenzo, Alessandro & Mangharam, Rahul, 2018. "Data-driven model predictive control using random forests for building energy optimization and climate control," Applied Energy, Elsevier, vol. 226(C), pages 1252-1272.
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    Cited by:

    1. Pedro Fernández de Córdoba & Frank Florez Montes & Miguel E. Iglesias Martínez & Jose Guerra Carmenate & Romeo Selvas & John Taborda, 2023. "Design of an Algorithm for Modeling Multiple Thermal Zones Using a Lumped-Parameter Model," Energies, MDPI, vol. 16(5), pages 1-22, February.
    2. Frank Florez & Jesús Alejandro Alzate-Grisales & Pedro Fernández de Córdoba & John Alexander Taborda-Giraldo, 2023. "Methodology for Modeling Multiple Non-Homogeneous Thermal Zones Using Lumped Parameters Technique and Graph Theory," Energies, MDPI, vol. 16(6), pages 1-20, March.

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