Evaluation of the reliability of a heat and mass transfer model in hygroscopic material

Berger, Julien; Busser, Thomas; Reddy, Sohail R.; Dulikravich, George S.

doi:10.1016/j.ijheatmasstransfer.2019.06.014

Cited by 14 publications

(8 citation statements)

References 27 publications

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“…Measurements are equivalent in both configurations. Those results can be proven by carrying simulations, using the one dimensional numerical model established in [32]. Figures 15(a 1.…”

Section: Dimensionless Formulation and Similarity To Assess The Main Phenomena Of Heat And Mass Transfer In Building Porous Materialsmentioning

confidence: 84%

Dimensionless formulation and similarity to assess the main phenomena of heat and mass transfer in building porous material

Berger

Legros

Abdykarim

2021

Journal of Building Engineering

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“…Measurements are equivalent in both configurations. Those results can be proven by carrying simulations, using the one dimensional numerical model established in [32]. Figures 15(a 1.…”

Section: Dimensionless Formulation and Similarity To Assess The Main Phenomena Of Heat And Mass Transfer In Building Porous Materialsmentioning

confidence: 84%

Dimensionless formulation and similarity to assess the main phenomena of heat and mass transfer in building porous material

Berger

Legros

Abdykarim

2021

Journal of Building Engineering

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“…However, this model is not reliable for predicting the phenomena in building materials due to its conditional stability Eq. (17). The Alternating Direction Implicit and Du Fort-Frankel approaches require only 5% and 0.7% of the implicit computational time.…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, as demonstrated in next section, it has an extended stability region, so the so-called Courant-Friedrichs-Lewy (CFL) restriction [24] is relaxed. Interested readers may consult [15,16,25] for example of its applications for one-dimensional heat and moisture transfer in building porous materials.…”

Section: Numerical Schemementioning

confidence: 99%

“…Thus, efficient numerical models are worth of investigation. In this paper, an innovative numerical model based on the Du Fort-Frankel scheme is studied, which has already demonstrated a promising efficiency in [15][16][17] for the simulation of one-dimensional heat and mass transfer through porous materials in building envelopes. Here, the model is extended to simulate two-dimensional heat transfer in a building facade over one year.…”

Section: Introductionmentioning

confidence: 99%

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An efficient two-dimensional heat transfer model for building envelopes

Berger

Gasparin

Mazuroski

et al. 2020

Numerical Heat Transfer, Part A: Applications

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A two-dimensional model is proposed for energy efficiency assessment through the simulation of heat transfer in building envelopes, considering the influence of the surrounding environment. The model is based on the Du Fort-Frankel approach that provides an explicit scheme with a relaxed stability condition. The model is first validated using an analytical solution and then compared to three other standard schemes. Results show that the proposed model offers a good compromise in terms of high accuracy and reduced computational efforts. Then, a more complex case study is investigated, considering non-uniform shading effects due to the neighboring buildings. In addition, the surface heat transfer coefficient varies with wind velocity and height, which imposes an addition non-uniform boundary condition. After showing the reliability of the model prediction, a comparison over almost 120 cities in France is carried out between the two-and the one-dimensional approaches of the current building simulation programs. Important discrepancies are observed for regions with high magnitudes of solar radiation and wind velocity. Last, a sensitivity analysis is carried out using a derivative-based approach. It enables to assess the variability of the solution according to the modeling of the two-dimensional boundary conditions. Moreover, the proposed model computes efficiently the solution and its sensitivity to the modeling of the urban environment.

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“…The latter are provided by the measurement at the boundaries of the material. References [3,10,11], can be consulted to illustrate this point. However, in real configurations, the inside and outside heat transfer coefficients of building walls play a crucial role on the energy efficiency [12].…”

Section: Introductionmentioning

confidence: 99%

Surface transfer coefficients estimation for heat conduction problem using the Bayesian framework

Berger,

Legros

2022

Preprint

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This work deals with an inverse two-dimensional nonlinear heat conduction problem to determine the top and lateral surface transfer coefficients. For this, the Bayesian framework with the Markov Chain Monte Carlo algorithm is used to determine the posterior distribution of unknown parameters. To handle the computational burden, a lumped one-dimensional model is proposed. The lumped model approximations are considered within the parameter estimation procedure thanks to the Approximation Error Model. The experiments are carried out for several configurations of chamber ventilator speed. Experimental observations are obtained through a complete measurement uncertainty propagation. By solving the inverse problem, accurate probability distributions are determined. Additional investigations are performed to demonstrate the reliability of the lumped model, in terms of accuracy and computational gains.

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Evaluation of the reliability of a heat and mass transfer model in hygroscopic material

Cited by 14 publications

References 27 publications

Dimensionless formulation and similarity to assess the main phenomena of heat and mass transfer in building porous material

Dimensionless formulation and similarity to assess the main phenomena of heat and mass transfer in building porous material

An efficient two-dimensional heat transfer model for building envelopes

Surface transfer coefficients estimation for heat conduction problem using the Bayesian framework

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