2014
DOI: 10.1016/j.apenergy.2014.03.014
|View full text |Cite
|
Sign up to set email alerts
|

Experimental validation of a numerical code by thin film heat flux sensors for the resolution of thermal bridges in dynamic conditions

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
13
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
8
1
1

Relationship

0
10

Authors

Journals

citations
Cited by 43 publications
(19 citation statements)
references
References 17 publications
0
13
0
Order By: Relevance
“…The experiment validated the numerical predictions made using thermal analysis software. Similarly, ITT was used by Ascione et al [29], [30] as a supporting technique to visualize the location of the thermal bridge in order to optimally position a set of heat flow meters and thin flux sensors around it. The heat flux measurements were used as a reference to verify the reliability of a proposed simplified numerical code to effectively and quickly assess the heat loss through thermal bridges.…”
Section: Methods Of Assessing the Thermal Bridge Heat Lossmentioning
confidence: 99%
“…The experiment validated the numerical predictions made using thermal analysis software. Similarly, ITT was used by Ascione et al [29], [30] as a supporting technique to visualize the location of the thermal bridge in order to optimally position a set of heat flow meters and thin flux sensors around it. The heat flux measurements were used as a reference to verify the reliability of a proposed simplified numerical code to effectively and quickly assess the heat loss through thermal bridges.…”
Section: Methods Of Assessing the Thermal Bridge Heat Lossmentioning
confidence: 99%
“…Bianchi et al [106] also proposed an IRT quantitative methodology to assess building envelope thermal losses due to thermal bridges, and Asdrubali et al [78] proposed a methodology to perform a quantitative analysis of some sorts of thermal bridges through simple thermographic surveys and subsequent analytical processing. The IRT was also used by Ascione et al [107] as part of an experimental apparatus to evaluate thermal bridging effects under dynamic conditions. In fact, the evaluation of the multidimensional and dynamic aspects of thermal bridges is very challenging and it should not be neglected when performing dynamic simulations using building energy simulation programs [108].…”
Section: System and Equipment Components And Their Characteristicsmentioning
confidence: 99%
“…Gao [11] and Tadeu [12] used a reduction technique to reduce the complexity of a 3D heat transfer model. Ascione [13,14] used a 2D and 1D numerical model due to the comparing effects of thermal bridges between calculated and measured values. Sierra [15] used a 2D model to assess thermal bridges, because they occur around windows.…”
Section: Introductionmentioning
confidence: 99%