Uncertainty and sensitivity analysis applied to hygrothermal simulation of a brick building in a hot and humid climate

Goffart, Jeanne; Rabouille, Mickaël; Mendes, Nathan

doi:10.1080/19401493.2015.1112430

Cited by 40 publications

(27 citation statements)

References 35 publications

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“…Average and standard deviation values for the design and physical parameters are presented in Table 2. They are chosen according to the literature [2,3,6,40,41]. Truncated normal distributions bounded between ± 2σ are generated with the OpenTURNS software [48].…”

Section: Constant Parametersmentioning

confidence: 99%

“…Although uncertainty and sensitivity analyses have been conducted by many authors on building energy performances [2][3][4][5][6][7][8][9][10][11], few publications discuss the effect of input parameter uncertainties on residential building indoor air quality. Laverge et al [12] compared different mechanical exhaust ventilation systems in accordance with five standards on five different dwelling typologies.…”

Section: Introductionmentioning

confidence: 99%

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Uncertainty and sensitivity analyses applied to a dynamic simulation of the carbon dioxide concentration in a detached house

Bouvier

Bontemps

Mora

2018

Int J Energy Environ Eng

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This paper aims to study the variability of indoor CO 2 concentration due to occupant behaviour and physical parameter uncertainties. A case study, conducted in a mechanically ventilated detached house, is presented with an uncertainty and sensitivity analysis (Monte Carlo method with a Latin hypercube sampling). Uncertainties related to occupant behaviour are described by combining four types of scenarios: occupation, generation of CO 2 per person, indoor doors, and outdoor windows' openings. The uncertainty analysis showed that despite an acceptable average room CO 2 concentration, large variations, due to input parameter uncertainties, are observed in CO 2 instantaneous concentrations. Moreover, during occupied periods, average value is relatively important (higher than 1300 ppm). Occupants spent around 30% of the time at CO 2 concentrations over 1500 ppm. Large output uncertainties are reached on the cumulative CO 2 concentration and time fraction spent over 1500 ppm. The sensitivity analysis highlights the strong influence of the parameters related to bedrooms (number of occupants, night generation of CO 2) and of the kitchen extracted airflow rate. It also shows that low-level air change rates in bedrooms are mainly caused by an incorrect air distribution in the building. Potential solutions to reduce both concentrations and uncertainties are discussed.

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Section: Constant Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Uncertainty and sensitivity analyses applied to a dynamic simulation of the carbon dioxide concentration in a detached house

Bouvier

Bontemps

Mora

2018

Int J Energy Environ Eng

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“…They can investigate any construction or difficult construction detail exposed to weather conditions of one’s choice. However, the results are strongly dependent on the accuracy of the applied mathematical model, as well as on the quality of input data, material characteristics in particular (Goffart et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Thermal and hygric assessment of an inside-insulated brick wall: 2D critical experiment and computational analysis

Kočí

Maděra

et al. 2018

Journal of Building Physics

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A combined experimental-computational approach is used for the analysis of hygrothermal performance of a brick wall provided with interior thermal insulation system. A 2D laboratory experiment is performed to determine temperature and moisture fields in a characteristic segment of the envelope over a sufficiently long period including cold winter months. Then, a computational model of moisture and heat transport is developed, using an integral two-phase balance equation capable of distinguishing between the particular phases of water and an enthalpy-based heat balance equation. A 2D computational representation of the experiment is used for model calibration and identification of unknown parameters, resulting in a very good agreement of experimental and calculated fields, with R 2 between 0.9687 and 0.9888. The calibrated model is subsequently used for a long-term hygrothermal assessment of the studied detail to demonstrate the functionality of the interior thermal insulation system, as well as the applicability of the developed model.

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“…Therefore, it is mostly used by building designers or building material producers. However, all computational models are strongly dependent on the quality of input data, the material properties in particular (Goffart et al, 2017). An acquisition of material characteristics is therefore essential and advanced experimental techniques have been developed for this purpose so far, being more or less precise and demanding on time or costs.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Cumulative Damage of Selected Building Envelopes Exposed to Various Environmental Effects

Kočí¹,

Maděra²,

Černý³

2018

Healthy, Intelligent and Resilient Buildings and Urban Environments

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Hygrothermal performance of building envelopes based on three different building materials (solid brick, high performance concrete, aerated autoclaved concrete) is assessed under climatic conditions of Prague and Atlantic City. Main objective of the paper is to evaluate the influence of cumulative damage, which was induced by means of natural weathering in 2012-2015 period, on the long-term performance. The performance is assessed using various measures, namely time-of-wetness function, number of freeze/thaw cycles, and annual amount of energy transmitted through the envelope. The results show that thermal performance of the envelopes gets mostly better after weathering as the annual amount of energy is decreased by ~3.5% in average. On the other hand, time-of-wetness function and number of freeze/thaw cycles increase by ~24.1% and ~22.0%, respectively. Based on the results summary it can be concluded, that cumulative damage of materials has an indisputable influence on the hygrothermal performance of building envelopes which might be either negative or positive. A detailed computational assessment is therefore necessary, incorporating not only reference, but also weather-affected material properties.

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Uncertainty and sensitivity analysis applied to hygrothermal simulation of a brick building in a hot and humid climate

Cited by 40 publications

References 35 publications

Uncertainty and sensitivity analyses applied to a dynamic simulation of the carbon dioxide concentration in a detached house

Uncertainty and sensitivity analyses applied to a dynamic simulation of the carbon dioxide concentration in a detached house

Thermal and hygric assessment of an inside-insulated brick wall: 2D critical experiment and computational analysis

Assessment of Cumulative Damage of Selected Building Envelopes Exposed to Various Environmental Effects

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