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Methodology for Modeling Multiple Non-Homogeneous Thermal Zones Using Lumped Parameters Technique and Graph Theory

Author

Listed:
  • Frank Florez

    (Faculty of Engineering, Universidad Autónoma de Manizales, Manizales 170003, Colombia)

  • Jesús Alejandro Alzate-Grisales

    (Faculty of Engineering, Universidad Autónoma de Manizales, Manizales 170003, Colombia)

  • Pedro Fernández de Córdoba

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

  • John Alexander Taborda-Giraldo

    (Universidad del Magdalena, Santa Marta, Colombia)

Abstract

Asymmetric thermal zones or even non-rectangular structures are common in residential buildings. These types of structures are not easy to model with specialized programs, and it is difficult to know the heat flows and the relationships between the different variables. This paper presents a methodology for modeling structures with multiple thermal zones using the graph theory arrangement. The methodology allows for generating a mathematical model using all the walls of each thermal zone. The modeling method uses the lumped parameter technique with a structure of two resistors and two capacitors for each thermal zone. The walls and internal surfaces of each zone define the thermal resistances, and the elements for the network structure are created by reducing resistances. The structure selected as a case study is similar to a residential apartment, which demonstrates the possibility of modeling complex and non-traditional structures. The accuracy of the generated mathematical model is verified by comparison with experimental data recorded in a scaled-down model. The reduced model is constructed using a 1:10 ratio with a real apartment. The proposed methodology is used to generate a graph arrangement adjusted to the case study, using the surfaces to build the mathematical model. The experimental data allowed to adjust the simulation results with errors in the range of 1.88% to 6.63% for different thermal zones. This methodology can be used to model different apartments, offices, or non-asymmetric structures and to analyze individual levels in buildings.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2693-:d:1096337
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    References listed on IDEAS

    as
    1. 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.
    2. Mora, Luca & Gerli, Paolo & Ardito, Lorenzo & Messeni Petruzzelli, Antonio, 2023. "Smart city governance from an innovation management perspective: Theoretical framing, review of current practices, and future research agenda," Technovation, Elsevier, vol. 123(C).
    3. Chaudhuri, Tanaya & Soh, Yeng Chai & Li, Hua & Xie, Lihua, 2019. "A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings," Applied Energy, Elsevier, vol. 248(C), pages 44-53.
    4. Frank Florez & Pedro Fernández de Cordoba & John Taborda & Miguel Polo & Juan Carlos Castro-Palacio & María Jezabel Pérez-Quiles, 2020. "Sliding Modes Control for Heat Transfer in Geodesic Domes," Mathematics, MDPI, vol. 8(6), pages 1-15, June.
    5. Frank Florez & Pedro Fernández-de-Córdoba & John Taborda & Juan Carlos Castro-Palacio & José Luis Higón-Calvet & M. Jezabel Pérez-Quiles, 2021. "Passive Strategies to Improve the Comfort Conditions in a Geodesic Dome," Mathematics, MDPI, vol. 9(6), pages 1-15, March.
    6. Lu, Yanyu & Dong, Jiankai & Liu, Jing, 2020. "Zonal modelling for thermal and energy performance of large space buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
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