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A Substitutive Coefficients Network for the Modelling of Thermal Systems: A Mono-Zone Building Case Study

Author

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  • Lahoucine Ouhsaine

    (Department of Thermal and Energy Engineering, LERMAB, IUT Henri Poincaré, University of Lorraine, 54400 Longwy, France
    Energetic Laboratory, Faculty of Sciences, Abdelmalek Essaâdi University, Tétouan 93030, Morocco)

  • Mohammed El Ganaoui

    (Department of Thermal and Energy Engineering, LERMAB, IUT Henri Poincaré, University of Lorraine, 54400 Longwy, France)

  • Abdelaziz Mimet

    (Energetic Laboratory, Faculty of Sciences, Abdelmalek Essaâdi University, Tétouan 93030, Morocco)

  • Jean-Michel Nunzi

    (Department of Thermal and Energy Engineering, LERMAB, IUT Henri Poincaré, University of Lorraine, 54400 Longwy, France
    Department of Chemistry, Queen’s University, Kingston, ON K7L-3N6, Canada
    Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L-3N6, Canada)

Abstract

A modelling approach based on the Substitutive Coefficients Network (SCN) is developed to predict the thermal behavior of a system in the dynamic state-space, without requiring knowledge of the thermal mass. The method can apply either to large- (building, combined solar systems, geothermal energy, and thermodynamic installations) or to small-scale systems (heat exchangers, electronic devices cooling systems, and Li-ion batteries). This current method is based on a dimensionless formulation of the simplified dynamic thermal balance model, using relaxation time as a key parameter to establish the model. The introduction of relaxation time reduces the parameters set as guidance coefficients. The parameters are finally expressed by a combination of global heat transfer coefficients related to each layer and/or sub-layer of the system. Advantages of the method are reliability, “non-destructibility”, i.e., it allows a reliable prediction of the thermal behavior which experimentally is inaccessible, and reducibility of the parameters size estimate. Additionally, the method is inexpensive in terms of computation memory. It is also easy to implement in practical numerical schemes. In this paper, the method leads to a simplified mathematical model that predicts the thermal behavior of a mono-zone eco-cottage building installed at Lorraine University (in Longwy, France) as a case study. Thermal performance of the building is estimated under the hourly weather conditions onsite, as obtained from the Meteonorm software. The thermal dynamics within hourly Typical Meteorological Year 2 (TMY2) Meteonorm data disturbances and the internal heating input state in the winter period were simulated with a simplified numerical discretization method. Results provide a general dynamic state of the different sub-components of the system, with limited design of the model parameters.

Suggested Citation

  • Lahoucine Ouhsaine & Mohammed El Ganaoui & Abdelaziz Mimet & Jean-Michel Nunzi, 2021. "A Substitutive Coefficients Network for the Modelling of Thermal Systems: A Mono-Zone Building Case Study," Energies, MDPI, vol. 14(9), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2551-:d:545990
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    References listed on IDEAS

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    1. Deb, C. & Schlueter, A., 2021. "Review of data-driven energy modelling techniques for building retrofit," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    2. Habibi Khalaj, Ali & Halgamuge, Saman K., 2017. "A Review on efficient thermal management of air- and liquid-cooled data centers: From chip to the cooling system," Applied Energy, Elsevier, vol. 205(C), pages 1165-1188.
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