Data-driven reduced order modeling based on tensor decompositions and its application to air-wall heat transfer in buildings

SeMA Journal ◽  
2021 ◽  
Author(s):  
M. Azaïez ◽  
T. Chacón Rebollo ◽  
M. Gómez Mármol ◽  
E. Perracchione ◽  
A. Rincón Casado ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Reduced Order Modeling ◽  
Data Driven ◽  
Wall Heat Transfer ◽  
Reduced Order ◽  
Tensor Decompositions

scholarly journals Data-Driven Reduced-Order Modeling of Convective Heat Transfer in Porous Media

Fluids ◽  
2021 ◽  
Vol 6 (8) ◽  
pp. 266
Author(s):  
Péter German ◽  
Mauricio E. Tano ◽  
Carlo Fiorina ◽  
Jean C. Ragusa
Keyword(s):  
Heat Transfer ◽  
Porous Medium ◽  
Porous Media ◽  
Steady State ◽  
Convective Heat Transfer ◽  
Convective Heat ◽  
Data Driven ◽  
Reduced Order ◽  
Medium Formulation ◽  
Flow Resistances

This work presents a data-driven Reduced-Order Model (ROM) for parametric convective heat transfer problems in porous media. The intrusive Proper Orthogonal Decomposition aided Reduced-Basis (POD-RB) technique is employed to reduce the porous medium formulation of the incompressible Reynolds-Averaged Navier–Stokes (RANS) equations coupled with heat transfer. Instead of resolving the exact flow configuration with high fidelity, the porous medium formulation solves a homogenized flow in which the fluid-structure interactions are captured via volumetric flow resistances with nonlinear, semi-empirical friction correlations. A supremizer approach is implemented for the stabilization of the reduced fluid dynamics equations. The reduced nonlinear flow resistances are treated using the Discrete Empirical Interpolation Method (DEIM), while the turbulent eddy viscosity and diffusivity are approximated by adopting a Radial Basis Function (RBF) interpolation-based approach. The proposed method is tested using a 2D numerical model of the Molten Salt Fast Reactor (MSFR), which involves the simulation of both clean and porous medium regions in the same domain. For the steady-state example, five model parameters are considered to be uncertain: the magnitude of the pumping force, the external coolant temperature, the heat transfer coefficient, the thermal expansion coefficient, and the Prandtl number. For transient scenarios, on the other hand, the coastdown-time of the pump is the only uncertain parameter. The results indicate that the POD-RB-ROMs are suitable for the reduction of similar problems. The relative L2 errors are below 3.34% for every field of interest for all cases analyzed, while the speedup factors vary between 54 (transient) and 40,000 (steady-state).

scholarly journals Systematic assessment of data-driven approaches for wall heat transfer modelling for LES in IC engines using DNS data

2022 ◽  
Vol 183 ◽  
pp. 122109
Author(s):  
Matteo Impagnatiello ◽  
Michele Bolla ◽  
Karri Keskinen ◽  
George Giannakopoulos ◽  
Christos E. Frouzakis ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Data Driven ◽  
Wall Heat Transfer ◽  
Systematic Assessment ◽  
Ic Engines ◽  
Transfer Modelling

scholarly journals Data-Driven Filtered Reduced Order Modeling of Fluid Flows

2018 ◽  
Vol 40 (3) ◽  
pp. B834-B857 ◽  
Author(s):  
X. Xie ◽  
M. Mohebujjaman ◽  
L. G. Rebholz ◽  
T. Iliescu
Keyword(s):  
Fluid Flows ◽  
Reduced Order Modeling ◽  
Data Driven ◽  
Reduced Order

Data-Driven Safety Margin Management Using Reduced Order Modeling

2019 ◽  
Author(s):  
J. Liao ◽  
J. Spring ◽  
C. Worrell
Keyword(s):  
Safety Margin ◽  
Reduced Order Modeling ◽  
Data Driven ◽  
Reduced Order

Robust reduced order modeling of heat transfer in a back step flow

2009 ◽  
Vol 52 (5-6) ◽  
pp. 1149-1157 ◽  
Author(s):  
D. Alonso ◽  
A. Velazquez ◽  
J.M. Vega
Keyword(s):  
Heat Transfer ◽  
Reduced Order Modeling ◽  
Reduced Order ◽  
Step Flow

Reduced-Order Modeling of Composite Floor Slabs in Fire. I: Heat-Transfer Analysis

2020 ◽  
Vol 146 (6) ◽  
pp. 04020080 ◽  
Author(s):  
Jian Jiang ◽  
Joseph A. Main ◽  
Jonathan M. Weigand ◽  
Fahim Sadek
Keyword(s):  
Heat Transfer ◽  
Reduced Order Modeling ◽  
Heat Transfer Analysis ◽  
Reduced Order ◽  
Floor Slabs ◽  
In Fire
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