Domestic building fabric performance: Closing the gap between the in situ measured and modelled performance

Marshall, AS; Fitton, Richard; Swan, William; Farmer, David; Johnston, David; Benjaber, Maa; Ji, Yingchun

doi:10.1016/j.enbuild.2017.06.028

Cited by 65 publications

(53 citation statements)

References 22 publications

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“…The use of in-situ U-value measurements as a means of calibrating predictive models was tested by [27]. The calibration process demonstrated the possibility of improving the accuracy of predictive models to close the performance gap, a discrepancy observed between the modelled and actual performance of a building.…”

Section: Infrared Thermography Resultsmentioning

confidence: 99%

“…A model of the Energy House (as described in [27]) was re-calibrated using the U-values calculated with data from each of the measurement techniques in this work. The average method from ISO 9869-1:2014 was used to calculate a U-value from heat flux density (point) measurements; data from both low and high-resolution thermal imaging were used to calculate a mean U-value around their distribution maxima.…”

Section: Informed Modelling Resultsmentioning

confidence: 99%

“…This was carried out for the prominent rooms of the house: the living room, kitchen, master and second bedrooms. U-values calculated with this data were then used to inform calibrated models [27] for a prediction of the energy performance of the Energy House.…”

Section: Infrared Thermographymentioning

confidence: 99%

“…A final calibration technique is offered by [27]. In this case, a purpose-built facility was used to measure the performance-determining parameters of a building (air permeability and U-values) under controlled conditions.…”

Section: Model Calibrationmentioning

confidence: 99%

“…This was done for both high-and low-resolution IRT; each measurement technique informed the re-calibration of the Energy House model, as shown in Figure 4. The study performed by [27] used point measurements of U-values, calculated using the average method of ISO 9869-1:2014. The positioning of sensors used in point measurements of U-values, however, does not allow for the full representation of the thermal performance of the building element under investigation.…”

Section: Informed Modellingmentioning

confidence: 99%

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Variations in the U-Value Measurement of a Whole Dwelling Using Infrared Thermography under Controlled Conditions

et al. 2018

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U-values of building elements are often determined using point measurements, where infrared imagery may be used to identify a suitable location for these measurements. Current methods identify that surface areas exhibiting a homogeneous temperature-away from regions of thermal bridging-can be used to obtain U-values. In doing so, however, the resulting U-value is assumed to represent that entire building element, contrary to the information given by the initial infrared inspection. This can be problematic when applying these measured U-values to models for predicting energy performance. Three techniques have been used to measure the U-values of external building elements of a full-scale replica of a pre-1920s U.K. home under controlled conditions: point measurements, using heat flux meters, and two variations of infrared thermography at high and low resolutions. U-values determined from each technique were used to calibrate a model of that building and predictions of the heat transfer coefficient, annual energy consumption, and fuel cost were made. Point measurements and low-resolution infrared thermography were found to represent a relatively small proportion of the overall U-value distribution. By propagating the variation of U-values found using high-resolution thermography, the predicted heat transfer coefficient (HTC) was found to vary between 183 W/K to 235 W/K (±12%). This also led to subsequent variations in the predictions for annual energy consumption for heating (between 4923 kWh and 5481 kWh, ±11%); and in the predicted cost of that energy consumption (between £227 and £281, ±24%). This variation is indicative of the sensitivity of energy simulations to sensor placement when carrying out point measurements for U-values.

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Section: Infrared Thermography Resultsmentioning

confidence: 99%

Section: Informed Modelling Resultsmentioning

confidence: 99%

Section: Infrared Thermographymentioning

confidence: 99%

Section: Model Calibrationmentioning

confidence: 99%

Section: Informed Modellingmentioning

confidence: 99%

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Variations in the U-Value Measurement of a Whole Dwelling Using Infrared Thermography under Controlled Conditions

et al. 2018

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An Artificial Intelligence Method for Comfort Level Prediction

Sajjadian

Jafari

Siebers

2018

Sustainability in Energy and Buildings 2018

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Conservation of Cultural Heritage. Evaluation of Archaeological Digs Effect on the Degradation of the Structures Found

Vitiello

Castelluccio

Ramondini

2021

Lecture Notes in Civil Engineering

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The restoration of Archaeological Heritage gives a remarkable importance to the features of formal and material preservation of elements in their context pursuing the enhancement of its value as historical document. The diagnosis phases must be structured in a complete and complex way to find correct methods of digging, considering that the archaeological digs provide a sudden alteration of the equilibrium condition that the underground structures have reached with the filling layers over the centuries, causing degradation phenomena or accelerated deterioration of the unearthed parts. Some studies have shown a pushed aging for stones subjected to saturation and rapid drying cycles, both in terms of lowering mechanical resistance and activation of pathogenic dynamics. Starting from these studies, a laboratory survey has been carried out on samples of Neapolitan yellow tuff aimed at reproducing, at the small scale, the alteration due by digging phases on natural stones. The paper shows the first results of this survey and proposes intervention strategies to ensure preservation criteria during the archeological digging phases, starting from indirect geometric relief of underground structures, including a thermo-igrometric characterization of the soil-artifact system and developing an intervention method for digging and protecting the Archeological Heritage.

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Domestic building fabric performance: Closing the gap between the in situ measured and modelled performance

Cited by 65 publications

References 22 publications

Variations in the U-Value Measurement of a Whole Dwelling Using Infrared Thermography under Controlled Conditions

Variations in the U-Value Measurement of a Whole Dwelling Using Infrared Thermography under Controlled Conditions

An Artificial Intelligence Method for Comfort Level Prediction

Conservation of Cultural Heritage. Evaluation of Archaeological Digs Effect on the Degradation of the Structures Found

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