Estimating the Thermal Bridge at Wall Corners with Artificial Neural Network

Journal Title: Acta Technica Jaurinensis - Year 2015, Vol 8, Issue 3


Nowadays there are several software products to simulate the heat transfer at thermal bridges.  These sophisticated tools are mostly based on Finite Difference or Finite Element Methods. However, there is a demand from energy modelers to estimate the linear thermal transmittance and the lowest internal surface temperature from existing data, instead of employing time-consuming simulations for each case.  This paper investigates wall corners with and without thermal insulation by using Artificial Neural Network (ANN), as a Soft Computing technique. It gives simple formulas that estimate the thermal bridge at wall corners with an acceptable level of accuracy.

Authors and Affiliations

M. Orosz, J. E. Csanaky


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  • EP ID EP630751
  • DOI 10.14513/actatechjaur.v8.n3.375
  • Views 151
  • Downloads 0

How To Cite

M. Orosz, J. E. Csanaky (2015). Estimating the Thermal Bridge at Wall Corners with Artificial Neural Network. Acta Technica Jaurinensis, 8(3), 230-239.