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FEM Analysis: A Review of the Most Common Thermal Bridges and Their Mitigation

Author

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  • Domenico Curto

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

  • Vincenzo Franzitta

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

  • Andrea Guercio

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

  • Pierluca Martorana

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

Abstract

The necessity to improve the energy saving potential of buildings is now a duty. European and national policies are being implemented to address the important decisions being made on this subject. For these reasons, several studies focus on this relevant topic. This paper review not only focusses on it but studies it in-depth. A commercial 3D simulation software was used to design a building sited in Palermo estimating the thermal losses before and after external envelope insulation. In particular, all the thermal bridges (TBs) were analysed with the finite element method (FEM) and mitigated with rock wool insulation. The paper shows the linear thermal transmittance difference and heat flux loss before and after TB mitigation. The results confirm the importance of installing an external insulation layer in the old building envelope. The linear thermal transmittance of TBs and the associated heat flux loss often decrease by more than 50%.

Suggested Citation

  • Domenico Curto & Vincenzo Franzitta & Andrea Guercio & Pierluca Martorana, 2022. "FEM Analysis: A Review of the Most Common Thermal Bridges and Their Mitigation," Energies, MDPI, vol. 15(7), pages 1-14, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2318-:d:777111
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    References listed on IDEAS

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    1. Domenico Curto & Andrea Guercio & Vincenzo Franzitta, 2020. "Investigation on a Bio-Composite Material as Acoustic Absorber and Thermal Insulation," Energies, MDPI, vol. 13(14), pages 1-18, July.
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    Cited by:

    1. Joanna Piotrowska-Woroniak & Tomasz Szul, 2022. "Application of a Model Based on Rough Set Theory (RST) to Estimate the Energy Efficiency of Public Buildings," Energies, MDPI, vol. 15(23), pages 1-13, November.

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