sihem guernouti - Academia.edu (original) (raw)

Papers by sihem guernouti

Research paper thumbnail of CAMCATT trial over Toulouse (France): a multisensory experiment to validate TRISHNA urban products

HAL (Le Centre pour la Communication Scientifique Directe), Sep 19, 2022

Research paper thumbnail of Soil properties and desealing strategies: feedback from the DésiVille project (France)

HAL (Le Centre pour la Communication Scientifique Directe), Sep 5, 2022

Research paper thumbnail of Identifying urban morphological archetypes for microclimate studies using a clustering approach

Research paper thumbnail of Summer passive strategies assessment based on calibrated building model using on site measurement data

Building Simulation Conference proceedings, Sep 1, 2021

Research paper thumbnail of Role of ventilation on the transmission of viruses in buildings, from a single zone to a multizone approach

Indoor Air

In a virus pandemic context, buildings ventilation has been recognized as a solution for preventi... more In a virus pandemic context, buildings ventilation has been recognized as a solution for preventing transmission of the virus in aerosolized form. The impact of the widespread recommendation of window opening and sealing door on ventilation circuits needs to be considered with a multizone approach. We modeled the airflow distribution in a building where people are isolating in a pandemic context, including one infected person. We analyzed the impact of opening the window and sealing the door in the quarantine room on exposures and probability of infection for occupants of the flat and of adjacent flats. In order to study the sensitivity of the results, we tested three ventilation systems: balanced, exhaust-only, and humidity-based demand-controlled, and several window-and door-opening strategies. When the door of the quarantine room is sealed, we observe that opening the window in the quarantine room always results in increased exposure and probability of infection for at least one other occupant, including in neighbors' apartments. When all internal doors are opened, we observe moderate impacts, with rather an increase of exposure of the occupants of the same apartments and of their probability of infection, and a decrease for the occupants located in other apartments. Based on the analysis on the airflows distribution in this case study, we conclude that sealing the internal door has more influence than opening the window of the quarantine room, whatever the ventilation system. We observe that this widespread recommendation to open the window of a quarantine room and to seal the door is based on the consideration of a single zone model. We illustrate the importance of moving from such a single zone approach to a multizone approach for quantifying ventilation and airing impacts in multizone buildings as residences in order to prevent epidemics of viruses such as SARS-CoV-2. It highlights the need of air leakage databases. K E Y W O R D S aerosolized virus, airflow distribution, indoor air quality, public health, residences, virus infections, window opening This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Research paper thumbnail of Creation and application of future typical weather files in the evaluation of indoor overheating in free-floating buildings

Research paper thumbnail of CAMCATT: a multisensor experiment over Toulouse to validate TRISHNA urban products

HAL (Le Centre pour la Communication Scientifique Directe), Mar 22, 2022

Research paper thumbnail of Assessment of hygrothermal behaviour of an experimental timber-framed house

The context of very high energy efficiency and the development of bio-materials bring new questio... more The context of very high energy efficiency and the development of bio-materials bring new questions about heat and mass transfer and their impact on the actual energy performance, comfort, health and the risk of components degradation. This is particularly true for old buildings built before 1948 with very hygroscopic materials. If the humidity has an effect on the thermal performance of the building envelope, it influences also the interaction between the building and it constituent materials and the air indoor quality, and therefore, the effects on the comfort and occupant health (risk of mould growth). Indeed, the preservation of envelope components is based on a hygrothermal balance of parts that constitute it. Any intervention on buildings that shifts this balance can cause disorders. In particular, a thermal insulation of walls when it's poorly designed or badly implemented can generate condensation in walls or on their surfaces and cause structural pathologies. To provide...

Research paper thumbnail of The SOLENE-Microclimat Model: Potentiality for Comfort and Energy Studies

Urban Microclimate Modelling for Comfort and Energy Studies, 2021

Conducting full-scale experiments in the actual urban context is a difficult task. This is why si... more Conducting full-scale experiments in the actual urban context is a difficult task. This is why simulation is needed to test planning and urban design proposals and to predict the impacts of urban developments on local climate and building thermal behavior. It is necessary therefore to build models that are robust enough and capable of simulating realistic urban settings, including buildings. When examining urban comfort, the scale considered is that of the immediate environment, i.e., street and square. Urban form is the most important parameter that acts on the local climate. It is the reason why its explicit description (including buildings, trees, etc.) is a necessary input into microclimate models. The primary outputs of the models are in return their impacts on sunlight, wind, air temperature, and humidity as well as surface temperature. SOLENE-microclimat was developed to assess the impact of urban planning on both outdoor and indoor comfort taking into account the interactions between a building and its environment. This requires resolving scale compatibility issues

Research paper thumbnail of CoolParks : aide à la conception de parcs et de formes urbaines pour optimiser le rafraîchissement urbain

Les projections climatiques des prochaines decennies prevoient des periodes de canicule plus long... more Les projections climatiques des prochaines decennies prevoient des periodes de canicule plus longues et plus frequentes qui seront exacerbees en ville par le phenomene d'Ilot de Chaleur Urbain (ICU). Un des enjeux des nouveaux amenagements urbains est d'integrer des mesures pour attenuer l'intensite de l'ICU en ayant recours au vegetal et a l'eau. Ainsi, les parcs urbains offrent une source importante de fraicheur. Les effets de ces amenagements varient largement selon leur type, leur proportion, leur repartition, leur mode de gestion et l'environnement urbain dans lequel ils sont implantes. Aussi, la fraicheur generee se diffuse differemment dans les alentours proches du parc selon la morphologie des quartiers qui l'environnent. Le projet de recherche Coolparks, presente dans cet article, interroge ces problematiques. Son objectif est de concevoir un outil simple a mettre en oeuvre, permettant aux collectivites locales de concevoir conjointement les parc...

Research paper thumbnail of How To Perform An Efficient Learning Process For A Combined POD And PGD Soil Urban Thermal Model? Application To Canyon Streets

Building Simulation Conference proceedings

A parametric soil model has been developed to improve the computational time of microclimate simu... more A parametric soil model has been developed to improve the computational time of microclimate simulation tools. It combines the use of two methods: the Proper Generalized Decomposition and the Proper Orthogonal Decomposition. Offline, a learning process is required to build the model, before its use online. A methodology to select a short and representative learning process needs to be developed. The k-means clustering method is used to build a training climate made of 24 days representative of a full climate. The offline computation costs are reduced by 94.4% for an error of 0.8%.

Research paper thumbnail of Integration of the stochastic models of occupancy behavior schedules in BES tool for accurate prediction of energy consumption

A large number of simulation tools are available for the estimation of a building’s energy consum... more A large number of simulation tools are available for the estimation of a building’s energy consumption (such as TRNSYS or EnergyPlus). These tools may produce yearly profiles of the energy needed by a building, for heating, cooling, lighting and ventilation as well as for hot water and electrical appliances. Nevertheless, several studies show that there are significant discrepancies between measured and calculated energy consumptions by these simulation tools. The stochastic variables linked to the climate and to the behaviour of the buildings’ occupants have important influences on those fluctuations. While climate data are available by measures with a correct accuracy, occupancy in all its stochastic activities are still lacking. The aim of this work is to evaluate how the existing occupancy stochastic models can contribute to a better accuracy in the prediction of energy consumption. The algorithms tested and presented concern the occupancy hours and occupancy rate. To achieve th...

Research paper thumbnail of Parametric PGD model used with orthogonal polynomials to assess efficiently the building's envelope thermal performance

Journal of Building Performance Simulation, 2021

Estimating the temperature field of a building envelope could be a time-consuming task. The use o... more Estimating the temperature field of a building envelope could be a time-consuming task. The use of a reduced-order method is then proposed: the Proper Generalized Decomposition method. The solution of the transient heat equation is then rewritten as a function of its parameters: the boundary conditions, the initial condition, etc. To avoid a tremendous number of parameters, the initial condition is parameterized. This is usually done by using the Proper Orthogonal Decomposition method to provide an optimal basis. Building this basis requires data and a learning strategy. As an alternative, the use of orthogonal polynomials (Chebyshev, Legendre) is here proposed.

Research paper thumbnail of Urban Microclimate and Building Energy Simulation Coupling Techniques

Urban Microclimate Modelling for Comfort and Energy Studies, 2021

Research paper thumbnail of A mixed POD–PGD approach to parametric thermal impervious soil modeling: Application to canyon streets

Sustainable Cities and Society, 2018

Numerical simulation is a powerful tool for assessing the causes of an Urban Heat Island (UHI) ef... more Numerical simulation is a powerful tool for assessing the causes of an Urban Heat Island (UHI) effect or quantifying the impact of mitigation solutions on local climatic conditions. However, the numerical cost associated with such a tool, which may seem low for a section of mesh within the district geometric model, is quite significant at the scale of an entire district. Today, the main challenge consists of achieving both a proper representation of the physical phenomena and a critical reduction in the numerical costs of running simulations. This paper presents a combined parametric urban soil model that accurately reproduces thermal heat flux exchanges between the soil and the urban environment with a reduced computation time. For this purpose, the use of a combination of two reduced-order methods is proposed herein: the Proper Orthogonal Decomposition (POD) method, and the Proper Generalized Decomposition (PGD) method. The developed model is applied to two case studies in order to establish a practical evaluation: an open area independent of the influences of the surrounding surface, namely a parking lot, and a theoretical urban scene with two canyon streets. The mean surface temperature reduction error remains below 0.52˝C for a cut computational cost of 80%.

Research paper thumbnail of How building energy models take the local climate into account in an urban context – A review

Renewable and Sustainable Energy Reviews, 2019

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific re... more HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Distributed under a Creative Commons Attribution-NonCommercial| 4.0 International License

Research paper thumbnail of Evaluating Model Reduction Methods for Heat and Mass Transfer in Porous Materials: Proper Orthogonal Decomposition and Proper Generalized Decomposition

Journal of Porous Media, 2019

This paper explores deeper the features of model reduction methods proper orthogonal decompositio... more This paper explores deeper the features of model reduction methods proper orthogonal decomposition (POD) and proper generalized decomposition (PGD) applied to heat and moisture transfer in porous materials. The first method is an a posteriori one and therefore requires a previous computation of the solution using the large original model to build the reduced basis. The second one is a priori and does not need any previous computation. The reduced order model is built straightforward. Both methods aim at approaching a high-dimensional model with a low-dimensional one. Their efficiencies, in terms of accuracy, complexity reduction, and CPU time gains, are first discussed on a one-dimensional case of nonlinear coupled heat and mass transfer. The reduced order models compute accurate solutions of the problem when compared to the large original model. They also offer interesting complexity reduction: around 97% for the POD and 88% for the PGD on the case study. In further sections, the robustness of the reduced order models are tested for different boundary conditions and materials. The POD method has lack of accuracy to compute the solution when these parameters differ from the ones used for the learning step. It is also shown that PGD resolution is particularly efficient to reduce the complexity of parametric problems.

Research paper thumbnail of Thermal behaviour of a building in its environment: Modelling, experimentation, and comparison

Energy and Buildings, 2018

études et d'expertise sur les risques, l'environnement, la mobilité et l'aménagement

Research paper thumbnail of Bayesian inference method for in situ thermal conductivity and heat capacity identification: Comparison to ISO standard

Construction and Building Materials, 2019

h i g h l i g h t s An inverse heat transfer model linked to Bayesian statistics is presented. Th... more h i g h l i g h t s An inverse heat transfer model linked to Bayesian statistics is presented. This model is used to identify the conductivity and volumetric heat capacity. In situ measurements are used by the inverse model. The proposed model can use shorter time series than the standard ISO 9869. The proposed model produces more accurate and robust results compared to the standard.

Research paper thumbnail of Bayesian inference for estimating thermal properties of a historic building wall

Building and Environment, 2016

In this paper, the use of Bayesian inference is explored for estimating both the thermal conducti... more In this paper, the use of Bayesian inference is explored for estimating both the thermal conductivity and the internal convective heat transfer coefficient of an old historic building wall. The room air temperature, as well as the temperatures at the surface and within the wall have been monitored during one year and then used to solve the identification problem. With Bayesian inference, the posterior distributions of the unknown parameters are explored based on their prior distributions and on the likelihood function that models the measurement errors. In this work, the Markov Chain Monte Carlo method is used to explore the posterior distribution. The error of the inadequacy of mathematical model are considered using the approximation error model. The distribution of the estimated parameters have a small standard deviation, which illustrates the accuracy of the method. The parameters have been compared to the standard values from the French thermal regulations. The heat flux at the internal surface has been calculated with the estimated parameters and the standard values. It is shown that the standard values underestimate the heat flux of an order by 10%. This study also illustrates the importance of the preliminary diagnosis of a building with the estimation of the thermal properties of the wall for model calibration.

Research paper thumbnail of CAMCATT trial over Toulouse (France): a multisensory experiment to validate TRISHNA urban products

HAL (Le Centre pour la Communication Scientifique Directe), Sep 19, 2022

Research paper thumbnail of Soil properties and desealing strategies: feedback from the DésiVille project (France)

HAL (Le Centre pour la Communication Scientifique Directe), Sep 5, 2022

Research paper thumbnail of Identifying urban morphological archetypes for microclimate studies using a clustering approach

Research paper thumbnail of Summer passive strategies assessment based on calibrated building model using on site measurement data

Building Simulation Conference proceedings, Sep 1, 2021

Research paper thumbnail of Role of ventilation on the transmission of viruses in buildings, from a single zone to a multizone approach

Indoor Air

In a virus pandemic context, buildings ventilation has been recognized as a solution for preventi... more In a virus pandemic context, buildings ventilation has been recognized as a solution for preventing transmission of the virus in aerosolized form. The impact of the widespread recommendation of window opening and sealing door on ventilation circuits needs to be considered with a multizone approach. We modeled the airflow distribution in a building where people are isolating in a pandemic context, including one infected person. We analyzed the impact of opening the window and sealing the door in the quarantine room on exposures and probability of infection for occupants of the flat and of adjacent flats. In order to study the sensitivity of the results, we tested three ventilation systems: balanced, exhaust-only, and humidity-based demand-controlled, and several window-and door-opening strategies. When the door of the quarantine room is sealed, we observe that opening the window in the quarantine room always results in increased exposure and probability of infection for at least one other occupant, including in neighbors' apartments. When all internal doors are opened, we observe moderate impacts, with rather an increase of exposure of the occupants of the same apartments and of their probability of infection, and a decrease for the occupants located in other apartments. Based on the analysis on the airflows distribution in this case study, we conclude that sealing the internal door has more influence than opening the window of the quarantine room, whatever the ventilation system. We observe that this widespread recommendation to open the window of a quarantine room and to seal the door is based on the consideration of a single zone model. We illustrate the importance of moving from such a single zone approach to a multizone approach for quantifying ventilation and airing impacts in multizone buildings as residences in order to prevent epidemics of viruses such as SARS-CoV-2. It highlights the need of air leakage databases. K E Y W O R D S aerosolized virus, airflow distribution, indoor air quality, public health, residences, virus infections, window opening This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Research paper thumbnail of Creation and application of future typical weather files in the evaluation of indoor overheating in free-floating buildings

Research paper thumbnail of CAMCATT: a multisensor experiment over Toulouse to validate TRISHNA urban products

HAL (Le Centre pour la Communication Scientifique Directe), Mar 22, 2022

Research paper thumbnail of Assessment of hygrothermal behaviour of an experimental timber-framed house

The context of very high energy efficiency and the development of bio-materials bring new questio... more The context of very high energy efficiency and the development of bio-materials bring new questions about heat and mass transfer and their impact on the actual energy performance, comfort, health and the risk of components degradation. This is particularly true for old buildings built before 1948 with very hygroscopic materials. If the humidity has an effect on the thermal performance of the building envelope, it influences also the interaction between the building and it constituent materials and the air indoor quality, and therefore, the effects on the comfort and occupant health (risk of mould growth). Indeed, the preservation of envelope components is based on a hygrothermal balance of parts that constitute it. Any intervention on buildings that shifts this balance can cause disorders. In particular, a thermal insulation of walls when it's poorly designed or badly implemented can generate condensation in walls or on their surfaces and cause structural pathologies. To provide...

Research paper thumbnail of The SOLENE-Microclimat Model: Potentiality for Comfort and Energy Studies

Urban Microclimate Modelling for Comfort and Energy Studies, 2021

Conducting full-scale experiments in the actual urban context is a difficult task. This is why si... more Conducting full-scale experiments in the actual urban context is a difficult task. This is why simulation is needed to test planning and urban design proposals and to predict the impacts of urban developments on local climate and building thermal behavior. It is necessary therefore to build models that are robust enough and capable of simulating realistic urban settings, including buildings. When examining urban comfort, the scale considered is that of the immediate environment, i.e., street and square. Urban form is the most important parameter that acts on the local climate. It is the reason why its explicit description (including buildings, trees, etc.) is a necessary input into microclimate models. The primary outputs of the models are in return their impacts on sunlight, wind, air temperature, and humidity as well as surface temperature. SOLENE-microclimat was developed to assess the impact of urban planning on both outdoor and indoor comfort taking into account the interactions between a building and its environment. This requires resolving scale compatibility issues

Research paper thumbnail of CoolParks : aide à la conception de parcs et de formes urbaines pour optimiser le rafraîchissement urbain

Les projections climatiques des prochaines decennies prevoient des periodes de canicule plus long... more Les projections climatiques des prochaines decennies prevoient des periodes de canicule plus longues et plus frequentes qui seront exacerbees en ville par le phenomene d'Ilot de Chaleur Urbain (ICU). Un des enjeux des nouveaux amenagements urbains est d'integrer des mesures pour attenuer l'intensite de l'ICU en ayant recours au vegetal et a l'eau. Ainsi, les parcs urbains offrent une source importante de fraicheur. Les effets de ces amenagements varient largement selon leur type, leur proportion, leur repartition, leur mode de gestion et l'environnement urbain dans lequel ils sont implantes. Aussi, la fraicheur generee se diffuse differemment dans les alentours proches du parc selon la morphologie des quartiers qui l'environnent. Le projet de recherche Coolparks, presente dans cet article, interroge ces problematiques. Son objectif est de concevoir un outil simple a mettre en oeuvre, permettant aux collectivites locales de concevoir conjointement les parc...

Research paper thumbnail of How To Perform An Efficient Learning Process For A Combined POD And PGD Soil Urban Thermal Model? Application To Canyon Streets

Building Simulation Conference proceedings

A parametric soil model has been developed to improve the computational time of microclimate simu... more A parametric soil model has been developed to improve the computational time of microclimate simulation tools. It combines the use of two methods: the Proper Generalized Decomposition and the Proper Orthogonal Decomposition. Offline, a learning process is required to build the model, before its use online. A methodology to select a short and representative learning process needs to be developed. The k-means clustering method is used to build a training climate made of 24 days representative of a full climate. The offline computation costs are reduced by 94.4% for an error of 0.8%.

Research paper thumbnail of Integration of the stochastic models of occupancy behavior schedules in BES tool for accurate prediction of energy consumption

A large number of simulation tools are available for the estimation of a building’s energy consum... more A large number of simulation tools are available for the estimation of a building’s energy consumption (such as TRNSYS or EnergyPlus). These tools may produce yearly profiles of the energy needed by a building, for heating, cooling, lighting and ventilation as well as for hot water and electrical appliances. Nevertheless, several studies show that there are significant discrepancies between measured and calculated energy consumptions by these simulation tools. The stochastic variables linked to the climate and to the behaviour of the buildings’ occupants have important influences on those fluctuations. While climate data are available by measures with a correct accuracy, occupancy in all its stochastic activities are still lacking. The aim of this work is to evaluate how the existing occupancy stochastic models can contribute to a better accuracy in the prediction of energy consumption. The algorithms tested and presented concern the occupancy hours and occupancy rate. To achieve th...

Research paper thumbnail of Parametric PGD model used with orthogonal polynomials to assess efficiently the building's envelope thermal performance

Journal of Building Performance Simulation, 2021

Estimating the temperature field of a building envelope could be a time-consuming task. The use o... more Estimating the temperature field of a building envelope could be a time-consuming task. The use of a reduced-order method is then proposed: the Proper Generalized Decomposition method. The solution of the transient heat equation is then rewritten as a function of its parameters: the boundary conditions, the initial condition, etc. To avoid a tremendous number of parameters, the initial condition is parameterized. This is usually done by using the Proper Orthogonal Decomposition method to provide an optimal basis. Building this basis requires data and a learning strategy. As an alternative, the use of orthogonal polynomials (Chebyshev, Legendre) is here proposed.

Research paper thumbnail of Urban Microclimate and Building Energy Simulation Coupling Techniques

Urban Microclimate Modelling for Comfort and Energy Studies, 2021

Research paper thumbnail of A mixed POD–PGD approach to parametric thermal impervious soil modeling: Application to canyon streets

Sustainable Cities and Society, 2018

Numerical simulation is a powerful tool for assessing the causes of an Urban Heat Island (UHI) ef... more Numerical simulation is a powerful tool for assessing the causes of an Urban Heat Island (UHI) effect or quantifying the impact of mitigation solutions on local climatic conditions. However, the numerical cost associated with such a tool, which may seem low for a section of mesh within the district geometric model, is quite significant at the scale of an entire district. Today, the main challenge consists of achieving both a proper representation of the physical phenomena and a critical reduction in the numerical costs of running simulations. This paper presents a combined parametric urban soil model that accurately reproduces thermal heat flux exchanges between the soil and the urban environment with a reduced computation time. For this purpose, the use of a combination of two reduced-order methods is proposed herein: the Proper Orthogonal Decomposition (POD) method, and the Proper Generalized Decomposition (PGD) method. The developed model is applied to two case studies in order to establish a practical evaluation: an open area independent of the influences of the surrounding surface, namely a parking lot, and a theoretical urban scene with two canyon streets. The mean surface temperature reduction error remains below 0.52˝C for a cut computational cost of 80%.

Research paper thumbnail of How building energy models take the local climate into account in an urban context – A review

Renewable and Sustainable Energy Reviews, 2019

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific re... more HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Distributed under a Creative Commons Attribution-NonCommercial| 4.0 International License

Research paper thumbnail of Evaluating Model Reduction Methods for Heat and Mass Transfer in Porous Materials: Proper Orthogonal Decomposition and Proper Generalized Decomposition

Journal of Porous Media, 2019

This paper explores deeper the features of model reduction methods proper orthogonal decompositio... more This paper explores deeper the features of model reduction methods proper orthogonal decomposition (POD) and proper generalized decomposition (PGD) applied to heat and moisture transfer in porous materials. The first method is an a posteriori one and therefore requires a previous computation of the solution using the large original model to build the reduced basis. The second one is a priori and does not need any previous computation. The reduced order model is built straightforward. Both methods aim at approaching a high-dimensional model with a low-dimensional one. Their efficiencies, in terms of accuracy, complexity reduction, and CPU time gains, are first discussed on a one-dimensional case of nonlinear coupled heat and mass transfer. The reduced order models compute accurate solutions of the problem when compared to the large original model. They also offer interesting complexity reduction: around 97% for the POD and 88% for the PGD on the case study. In further sections, the robustness of the reduced order models are tested for different boundary conditions and materials. The POD method has lack of accuracy to compute the solution when these parameters differ from the ones used for the learning step. It is also shown that PGD resolution is particularly efficient to reduce the complexity of parametric problems.

Research paper thumbnail of Thermal behaviour of a building in its environment: Modelling, experimentation, and comparison

Energy and Buildings, 2018

études et d'expertise sur les risques, l'environnement, la mobilité et l'aménagement

Research paper thumbnail of Bayesian inference method for in situ thermal conductivity and heat capacity identification: Comparison to ISO standard

Construction and Building Materials, 2019

h i g h l i g h t s An inverse heat transfer model linked to Bayesian statistics is presented. Th... more h i g h l i g h t s An inverse heat transfer model linked to Bayesian statistics is presented. This model is used to identify the conductivity and volumetric heat capacity. In situ measurements are used by the inverse model. The proposed model can use shorter time series than the standard ISO 9869. The proposed model produces more accurate and robust results compared to the standard.

Research paper thumbnail of Bayesian inference for estimating thermal properties of a historic building wall

Building and Environment, 2016

In this paper, the use of Bayesian inference is explored for estimating both the thermal conducti... more In this paper, the use of Bayesian inference is explored for estimating both the thermal conductivity and the internal convective heat transfer coefficient of an old historic building wall. The room air temperature, as well as the temperatures at the surface and within the wall have been monitored during one year and then used to solve the identification problem. With Bayesian inference, the posterior distributions of the unknown parameters are explored based on their prior distributions and on the likelihood function that models the measurement errors. In this work, the Markov Chain Monte Carlo method is used to explore the posterior distribution. The error of the inadequacy of mathematical model are considered using the approximation error model. The distribution of the estimated parameters have a small standard deviation, which illustrates the accuracy of the method. The parameters have been compared to the standard values from the French thermal regulations. The heat flux at the internal surface has been calculated with the estimated parameters and the standard values. It is shown that the standard values underestimate the heat flux of an order by 10%. This study also illustrates the importance of the preliminary diagnosis of a building with the estimation of the thermal properties of the wall for model calibration.