Analysis of the sensible heat flux from the exterior surface of buildings using time sequential thermography

Hoyano, Akira; Asano, K.; Kanamaru, Takehisa

doi:10.1016/s1352-2310(99)00136-3

Cited by 59 publications

(26 citation statements)

References 2 publications

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“…The objective of the study presented by Hoyano, Asano and Kanamaru [8] is to calculate the sensible heat flux from the exterior surface of buildings using time sequential thermography, based upon an appropriate simplification of the building model. In particular, the authors calculated the temperature distribution on the surface of two representative buildings using a thermal infrared camera.…”

Section: Introductionmentioning

confidence: 99%

Infrared Screening of Residential Buildings for Energy Audit Purposes: Results of a Field Test

2013

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Abstract:In the European Union (EU), the building sector is responsible for approximately 40% of total energy consumption. The existing building stock is inefficient and can, and indeed must be retrofitted to address this issue. The practical implementation of the European strategies requires knowledge of the energy performance of existing buildings through energy audit techniques. Application of thermography in the fields of energy are very widespread, since, through such a non-invasive investigation, and through correct interpretation of infrared images, it is possible to highlight inefficiencies in buildings and related facilities. The paper shows and discusses the results of an infrared audit campaign on 14 existing buildings located in Milan Province (Italy) made in different construction periods and characterised, therefore, by different building technologies. The U-values obtained in an indirect way through the thermography of the opaque walls of the buildings investigated, were compared with the actual known values in order to verify the reliability of the method and the possible margin of error. The study indicated that the category of buildings in which the application of this method is sufficiently reliable is that of solid-mass structure buildings, the most widespread in Italy, whereas in the case of buildings whose external walls are insulated, the percentage of deviation is very high.

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Section: Introductionmentioning

confidence: 99%

Infrared Screening of Residential Buildings for Energy Audit Purposes: Results of a Field Test

2013

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“…Lucchi [42] goes on to discuss solutions to these problems can be sought by controlling these factors, in order to reduce the impact on the results; suggestions of limiting IRT measurements to dry days with low solar incidence, performing IRT during steady conditions, and the acquisition of compensation terms, are all made [44][45][46] Internal and external variables can have a significant effect on U-value measurement outcomes [35]. Researchers have found that external variables, such as wind, precipitation, long wave radiation, and solar gain can have a major impact.…”

Section: Infrared Thermographymentioning

confidence: 99%

“…Weather conditions have proven to be highly problematic when implicating short-term IRT [43][44][45], with effects of rain, solar incidence, and wind, leading to a distortion of data and bias in the results. Lucchi [42] goes on to discuss solutions to these problems can be sought by controlling these factors, in order to reduce the impact on the results; suggestions of limiting IRT measurements to dry days with Buildings 2018, 8, 46 6 of 17 low solar incidence, performing IRT during steady conditions, and the acquisition of compensation terms, are all made [44][45][46] Further studies have also sought to perform IRT under controlled conditions, to eliminate the influence of weather, though on a much smaller scale than for whole buildings [47,48].…”

Section: Infrared Thermographymentioning

confidence: 99%

“…Lucchi [42] goes on to discuss solutions to these problems can be sought by controlling these factors, in order to reduce the impact on the results; suggestions of limiting IRT measurements to dry days with Buildings 2018, 8, 46 6 of 17 low solar incidence, performing IRT during steady conditions, and the acquisition of compensation terms, are all made [44][45][46] Further studies have also sought to perform IRT under controlled conditions, to eliminate the influence of weather, though on a much smaller scale than for whole buildings [47,48]. The following methodology section explores how, in this paper, the effects of weather have been mitigated, and the presence of controlled, steady-state conditions were used to reduce uncertainty and bias in the application of IRT for a whole dwelling.…”

Section: Infrared Thermographymentioning

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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“…In Tokyo, a TIR camera system continuously measured urban surface temperatures for derivation of a town-scale thermal property parameter (Sugawara et al 2001). At the building scale, Hoyano et al (1999) used time-sequential thermography (TST) for calculating sensible heat flux density. Thermal characteristics of various urban surfaces in Tel-Aviv were assessed by using a thermal video radiometer that captured images from a high-rise building (Chudnovsky et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Determination of persistence effects in spatio-temporal patterns of upward long-wave radiation flux density from an urban courtyard by means of Time-Sequential Thermography

Meier

Richters

2010

Remote Sensing of Environment

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This research analyses upward long-wave radiation flux density from urban surfaces using a high-resolution thermal-infrared (TIR) camera and meteorological measurements in the city of Berlin, Germany. We report spatiotemporal patterns of the difference between upward long-wave radiation flux density from courtyard surfaces and the roof. Thermal patterns show persistence effects due to shadow, sky view factor (SVF) distribution, thermal properties of surface materials, human activities and turbulence characteristics of the surface-atmosphere interface. The attenuation of thermal patterns caused by temporary disturbances due to parked cars can be described by a modified exponential curve and a time-constant. This study shows that ground-based highresolution TIR imagery is highly suitable to investigate dynamic processes controlling thermal patterns within a complex three-dimensional urban structure.

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Analysis of the sensible heat flux from the exterior surface of buildings using time sequential thermography

Cited by 59 publications

References 2 publications

Infrared Screening of Residential Buildings for Energy Audit Purposes: Results of a Field Test

Infrared Screening of Residential Buildings for Energy Audit Purposes: Results of a Field Test

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

Determination of persistence effects in spatio-temporal patterns of upward long-wave radiation flux density from an urban courtyard by means of Time-Sequential Thermography

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