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A Simplified Methodology for Evaluating the Impact of Point Thermal Bridges on the High-Energy Performance of a Passive House

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  • Jolanta Šadauskienė

    (Faculty of Civil Engineering and Architecture, Kaunas University of Technology, Studentų st. 48, Kaunas LT-51367, Lithuania)

  • Juozas Ramanauskas

    (Faculty of Civil Engineering and Architecture, Kaunas University of Technology, Studentų st. 48, Kaunas LT-51367, Lithuania
    Institute of Architecture and Construction of Kaunas University of Technology, Tunelio st. 60, Kaunas LT-44405, Lithuania)

  • Lina Šeduikytė

    (Faculty of Civil Engineering and Architecture, Kaunas University of Technology, Studentų st. 48, Kaunas LT-51367, Lithuania)

  • Mindaugas Daukšys

    (Faculty of Civil Engineering and Architecture, Kaunas University of Technology, Studentų st. 48, Kaunas LT-51367, Lithuania)

  • Algimantas Vasylius

    (Faculty of Civil Engineering and Architecture, Kaunas University of Technology, Studentų st. 48, Kaunas LT-51367, Lithuania)

Abstract

In the design of high-energy performance buildings with ventilated facade systems, the evaluation of point thermal bridges is complicated and is often ignored in practice. This paper analyzes the relationship between the point thermal bridges resulting from aluminum fasteners, which are used for installation facades cladding, and the thermal properties of materials that are used in external walls layers and dimension of layers. Research has shown that the influence of the point thermal bridges on the U -value of the entire wall may achieve an average of up to 30% regarding thermal properties of materials of the external wall layers and the dimension of layers. With the increase in thermal conductivity of the bearing layer material and the thickness of the thermal insulation layer, the point thermal transmittance χ -value increased. For this reason, the U -value of the entire wall may increase by up to 35%. With the increase of the thickness of the bearing layer and thermal conductivity value of thermal insulation layer, the point thermal transmittance χ -value decreased by up to 28%. A simplified methodology is presented for the evaluation of point thermal bridges based on the thermal and geometrical properties of external wall layers.

Suggested Citation

  • Jolanta Šadauskienė & Juozas Ramanauskas & Lina Šeduikytė & Mindaugas Daukšys & Algimantas Vasylius, 2015. "A Simplified Methodology for Evaluating the Impact of Point Thermal Bridges on the High-Energy Performance of a Passive House," Sustainability, MDPI, vol. 7(12), pages 1-16, December.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:12:p:15840-16702:d:60818
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    References listed on IDEAS

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    1. Ascione, Fabrizio & Bianco, Nicola & De Masi, Rosa Francesca & Mauro, Gerardo Maria & Musto, Marilena & Vanoli, Giuseppe Peter, 2014. "Experimental validation of a numerical code by thin film heat flux sensors for the resolution of thermal bridges in dynamic conditions," Applied Energy, Elsevier, vol. 124(C), pages 213-222.
    2. Fabrizio Ascione & Nicola Bianco & Rosa Francesca De Masi & Gerardo Maria Mauro & Giuseppe Peter Vanoli, 2015. "Design of the Building Envelope: A Novel Multi-Objective Approach for the Optimization of Energy Performance and Thermal Comfort," Sustainability, MDPI, vol. 7(8), pages 1-28, August.
    3. Capozzoli, Alfonso & Gorrino, Alice & Corrado, Vincenzo, 2013. "A building thermal bridges sensitivity analysis," Applied Energy, Elsevier, vol. 107(C), pages 229-243.
    4. Francesco Bianchi & Anna Laura Pisello & Giorgio Baldinelli & Francesco Asdrubali, 2014. "Infrared Thermography Assessment of Thermal Bridges in Building Envelope: Experimental Validation in a Test Room Setup," Sustainability, MDPI, vol. 6(10), pages 1-14, October.
    5. Ascione, Fabrizio & Bianco, Nicola & Rossi, Filippo de’ & Turni, Gianluca & Vanoli, Giuseppe Peter, 2012. "Different methods for the modelling of thermal bridges into energy simulation programs: Comparisons of accuracy for flat heterogeneous roofs in Italian climates," Applied Energy, Elsevier, vol. 97(C), pages 405-418.
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    Cited by:

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    3. David Bienvenido-Huertas & Juan Antonio Fernández Quiñones & Juan Moyano & Carlos E. Rodríguez-Jiménez, 2018. "Patents Analysis of Thermal Bridges in Slab Fronts and Their Effect on Energy Demand," Energies, MDPI, vol. 11(9), pages 1-18, August.
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    5. Nuno Simões & Joana Prata & António Tadeu, 2019. "3D Dynamic Simulation of Heat Conduction through a Building Corner Using a BEM Model in the Frequency Domain," Energies, MDPI, vol. 12(23), pages 1-27, December.

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