IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i12p15840-16702d60818.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/12/15840/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/7/12/15840/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    4. Capozzoli, Alfonso & Gorrino, Alice & Corrado, Vincenzo, 2013. "A building thermal bridges sensitivity analysis," Applied Energy, Elsevier, vol. 107(C), pages 229-243.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Víctor Echarri-Iribarren & Cristina Sotos-Solano & Almudena Espinosa-Fernández & Raúl Prado-Govea, 2019. "The Passivhaus Standard in the Spanish Mediterranean: Evaluation of a House’s Thermal Behaviour of Enclosures and Airtightness," Sustainability, MDPI, vol. 11(13), pages 1-25, July.
    2. Adrian Pitts, 2017. "Passive House and Low Energy Buildings: Barriers and Opportunities for Future Development within UK Practice," Sustainability, MDPI, vol. 9(2), pages 1-26, February.
    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.
    4. Paris A. Fokaides & Rasa Apanaviciene & Jurgita Černeckiene & Andrius Jurelionis & Egle Klumbyte & Vilma Kriauciunaite-Neklejonoviene & Darius Pupeikis & Donatas Rekus & Jolanta Sadauskiene & Lina Sed, 2020. "Research Challenges and Advancements in the field of Sustainable Energy Technologies in the Built Environment," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Theodosiou, Theodoros & Tsikaloudaki, Katerina & Kontoleon, Karolos & Giarma, Christina, 2021. "Assessing the accuracy of predictive thermal bridge heat flow methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    3. Mohamed F. Zedan & Sami Al-Sanea & Abdulaziz Al-Mujahid & Zeyad Al-Suhaibani, 2016. "Effect of Thermal Bridges in Insulated Walls on Air-Conditioning Loads Using Whole Building Energy Analysis," Sustainability, MDPI, vol. 8(6), pages 1-20, June.
    4. Akkurt, G.G. & Aste, N. & Borderon, J. & Buda, A. & Calzolari, M. & Chung, D. & Costanzo, V. & Del Pero, C. & Evola, G. & Huerto-Cardenas, H.E. & Leonforte, F. & Lo Faro, A. & Lucchi, E. & Marletta, L, 2020. "Dynamic thermal and hygrometric simulation of historical buildings: Critical factors and possible solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    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.
    6. 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.
    7. Berardi, Umberto, 2015. "The development of a monolithic aerogel glazed window for an energy retrofitting project," Applied Energy, Elsevier, vol. 154(C), pages 603-615.
    8. Baldinelli, Giorgio & Bianchi, Francesco & Rotili, Antonella & Costarelli, Danilo & Seracini, Marco & Vinti, Gianluca & Asdrubali, Francesco & Evangelisti, Luca, 2018. "A model for the improvement of thermal bridges quantitative assessment by infrared thermography," Applied Energy, Elsevier, vol. 211(C), pages 854-864.
    9. Ibrahim, Mohamad & Biwole, Pascal Henry & Wurtz, Etienne & Achard, Patrick, 2014. "Limiting windows offset thermal bridge losses using a new insulating coating," Applied Energy, Elsevier, vol. 123(C), pages 220-231.
    10. Kylili, Angeliki & Fokaides, Paris A. & Christou, Petros & Kalogirou, Soteris A., 2014. "Infrared thermography (IRT) applications for building diagnostics: A review," Applied Energy, Elsevier, vol. 134(C), pages 531-549.
    11. López-Ochoa, Luis M. & Las-Heras-Casas, Jesús & López-González, Luis M. & Olasolo-Alonso, Pablo, 2019. "Towards nearly zero-energy buildings in Mediterranean countries: Energy Performance of Buildings Directive evolution and the energy rehabilitation challenge in the Spanish residential sector," Energy, Elsevier, vol. 176(C), pages 335-352.
    12. Ascione, Fabrizio & De Masi, Rosa Francesca & de Rossi, Filippo & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2016. "Optimization of building envelope design for nZEBs in Mediterranean climate: Performance analysis of residential case study," Applied Energy, Elsevier, vol. 183(C), pages 938-957.
    13. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
    14. Halil Alibaba, 2016. "Determination of Optimum Window to External Wall Ratio for Offices in a Hot and Humid Climate," Sustainability, MDPI, vol. 8(2), pages 1-21, February.
    15. Sara Brito-Coimbra & Daniel Aelenei & Maria Gloria Gomes & Antonio Moret Rodrigues, 2021. "Building Façade Retrofit with Solar Passive Technologies: A Literature Review," Energies, MDPI, vol. 14(6), pages 1-18, March.
    16. Yuan, Jun & Nian, Victor & Su, Bin & Meng, Qun, 2017. "A simultaneous calibration and parameter ranking method for building energy models," Applied Energy, Elsevier, vol. 206(C), pages 657-666.
    17. Anja Hansen & Jörn Budde & Annette Prochnow, 2016. "Resource Usage Strategies and Trade-Offs between Cropland Demand, Fossil Fuel Consumption, and Greenhouse Gas Emissions—Building Insulation as an Example," Sustainability, MDPI, vol. 8(7), pages 1-24, June.
    18. Fabiani, C. & Castaldo, V.L. & Pisello, A.L., 2020. "Thermochromic materials for indoor thermal comfort improvement: Finite difference modeling and validation in a real case-study building," Applied Energy, Elsevier, vol. 262(C).
    19. Yupeng Wang & Hiroatsu Fukuda, 2019. "The Influence of Insulation Styles on the Building Energy Consumption and Indoor Thermal Comfort of Multi-Family Residences," Sustainability, MDPI, vol. 11(1), pages 1-14, January.
    20. Wijeratne, W.M. Pabasara Upalakshi & Samarasinghalage, Tharushi Imalka & Yang, Rebecca Jing & Wakefield, Ron, 2022. "Multi-objective optimisation for building integrated photovoltaics (BIPV) roof projects in early design phase," Applied Energy, Elsevier, vol. 309(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:7:y:2015:i:12:p:15840-16702:d:60818. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.