Reduced basis steady Smagorinsky turbulence model for forced convection flow: application to the thermal comfort optimisation of cloisters

Abstract In this paper, we address the construction of reduced basis (RB) turbulence models for thermal air flow, as a tool to design optimal thermal comfort-oriented spaces in the architectural design of buildings. We consider thermal turbulent flow, modelled by the Smagorinsky LES turbulence model with forced convection, plus the internal energy conservation equation. We assume that the flow takes place in a transition space in buildings with some geometrical complexity, actually a cloister. We approximate this model by a stable discretisation using the finite element method using FreeFem++, leading to the full order model (FOM). We build mathematically based a posteriori error indicators for both velocity-pressure and temperature. On this basis, we construct a RB turbulence model for the targeted 2D thermal flow. We obtain speed-up rates of computation time of nearly 150 with respect to the FOM. We then apply the RB model to the optimal thermal comfort design of a cloister in typically hot climates. We determine the geometry of the cloister that allows the smallest deviation of the temperature with respect to a given comfort temperature: the corridors must be as wide and low as possible.

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Journal
The European Physical Journal Plus
Published
2025-10-08
DOI
https://doi.org/10.1140/epjp/s13360-025-06879-9
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
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article

Reduced basis steady Smagorinsky turbulence model for forced convection flow: application to the thermal comfort optimisation of cloisters

Macarena Gómez Mármol, Tomás Chacón Rebollo, Cristina Caravaca García
The European Physical Journal Plus
Model Reduction and Neural Networks
article

Reduced basis steady Smagorinsky turbulence model for forced convection flow: application to the thermal comfort optimisation of cloisters

Macarena Gómez Mármol, Tomás Chacón Rebollo, Cristina Caravaca García
article en

Abstract

Abstract In this paper, we address the construction of reduced basis (RB) turbulence models for thermal air flow, as a tool to design optimal thermal comfort-oriented spaces in the architectural design of buildings. We consider thermal turbulent flow, modelled by the Smagorinsky LES turbulence model with forced convection, plus the internal energy conservation equation. We assume that the flow takes place in a transition space in buildings with some geometrical complexity, actually a cloister. We approximate this model by a stable discretisation using the finite element method using FreeFem++, leading to the full order model (FOM). We build mathematically based a posteriori error indicators for both velocity-pressure and temperature. On this basis, we construct a RB turbulence model for the targeted 2D thermal flow. We obtain speed-up rates of computation time of nearly 150 with respect to the FOM. We then apply the RB model to the optimal thermal comfort design of a cloister in typically hot climates. We determine the geometry of the cloister that allows the smallest deviation of the temperature with respect to a given comfort temperature: the corridors must be as wide and low as possible.

The European Physical Journal PlusVol. 140(10)
Universidade da Coruña (ES), Universidad de Sevilla (ES)
Universidad de Sevilla, Ministerio de Ciencia, Innovación y Universidades, Agencia Estatal de Investigación
Openalex Percentile: Top 78%
Model Reduction and Neural Networks
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