IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i23p4595-d293507.html
   My bibliography  Save this article

3D Dynamic Simulation of Heat Conduction through a Building Corner Using a BEM Model in the Frequency Domain

Author

Listed:
  • Nuno Simões

    (ITeCons—Institute for Research and Technological Development in Construction, Energy, Environment and Sustainability; Rua Pedro Hispano, 3030–289 Coimbra, Portugal
    ADAI—LAETA, Department of Civil Engineering, FCTUC, University of Coimbra; Pólo II, Rua Luís Reis Santos, 3030–788 Coimbra, Portugal)

  • Joana Prata

    (ITeCons—Institute for Research and Technological Development in Construction, Energy, Environment and Sustainability; Rua Pedro Hispano, 3030–289 Coimbra, Portugal
    ADAI—LAETA, Department of Civil Engineering, FCTUC, University of Coimbra; Pólo II, Rua Luís Reis Santos, 3030–788 Coimbra, Portugal)

  • António Tadeu

    (ITeCons—Institute for Research and Technological Development in Construction, Energy, Environment and Sustainability; Rua Pedro Hispano, 3030–289 Coimbra, Portugal
    ADAI—LAETA, Department of Civil Engineering, FCTUC, University of Coimbra; Pólo II, Rua Luís Reis Santos, 3030–788 Coimbra, Portugal)

Abstract

This paper sets out a three-dimensional (3D) boundary element method (BEM) formulation in the frequency domain to simulate heat transfer through a point thermal bridge (PTB) at a corner in a building envelope. The main purpose was to quantify the dynamic effect of a geometrical PTB in terms of distribution of temperatures and heat fluxes, which is useful for evaluating moisture condensation risk. The numerical model is first validated experimentally using a hot box to measure the dynamic heat behavior of a 3D timber building corner. The proposed model is then used to study the dynamic thermal bridging effect in the vicinity of a 3D concrete corner. Given the importance of the risk of condensation, this study looks at the influence of an insulating material and its position on the temperature and heat flux distribution through the PTB under steady state and dynamic conditions.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:23:p:4595-:d:293507
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/23/4595/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/23/4595/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aste, Niccolò & Leonforte, Fabrizio & Manfren, Massimiliano & Mazzon, Manlio, 2015. "Thermal inertia and energy efficiency – Parametric simulation assessment on a calibrated case study," Applied Energy, Elsevier, vol. 145(C), pages 111-123.
    2. Tadeu, António & Prata, Joana & Simões, Nuno, 2015. "Dynamic simulation of three-dimensional heat conduction through cylindrical inclusions using a BEM model formulated in the frequency domain," Applied Mathematics and Computation, Elsevier, vol. 261(C), pages 397-407.
    3. Asdrubali, Francesco & Baldinelli, Giorgio & Bianchi, Francesco, 2012. "A quantitative methodology to evaluate thermal bridges in buildings," Applied Energy, Elsevier, vol. 97(C), pages 365-373.
    4. 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.
    5. Capozzoli, Alfonso & Gorrino, Alice & Corrado, Vincenzo, 2013. "A building thermal bridges sensitivity analysis," Applied Energy, Elsevier, vol. 107(C), pages 229-243.
    6. 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.
    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. Heegang Kim & Myoungsouk Yeo, 2020. "Thermal Bridge Modeling and a Dynamic Analysis Method Using the Analogy of a Steady-State Thermal Bridge Analysis and System Identification Process for Building Energy Simulation: Methodology and Vali," Energies, MDPI, vol. 13(17), pages 1-22, August.
    2. Bożena Babiarz & Władysław Szymański, 2020. "Introduction to the Dynamics of Heat Transfer in Buildings," Energies, MDPI, vol. 13(23), pages 1-28, 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. 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.
    3. 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.
    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. 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.
    6. Aïssani, A. & Chateauneuf, A. & Fontaine, J.-P. & Audebert, Ph., 2016. "Quantification of workmanship insulation defects and their impact on the thermal performance of building facades," Applied Energy, Elsevier, vol. 165(C), pages 272-284.
    7. 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.
    8. 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).
    9. Umberto Berardi & Lamberto Tronchin & Massimiliano Manfren & Benedetto Nastasi, 2018. "On the Effects of Variation of Thermal Conductivity in Buildings in the Italian Construction Sector," Energies, MDPI, vol. 11(4), pages 1-17, April.
    10. 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.
    11. 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.
    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. Blanca Tejedor & Eva Barreira & Vasco Peixoto de Freitas & Tomasz Kisilewicz & Katarzyna Nowak-Dzieszko & Umberto Berardi, 2020. "Impact of Stationary and Dynamic Conditions on the U-Value Measurements of Heavy-Multi Leaf Walls by Quantitative IRT," Energies, MDPI, vol. 13(24), pages 1-19, December.
    15. Gourlis, Georgios & Kovacic, Iva, 2016. "A study on building performance analysis for energy retrofit of existing industrial facilities," Applied Energy, Elsevier, vol. 184(C), pages 1389-1399.
    16. Miloš Pavelek & Marek Prajer & Kamil Trgala, 2018. "Static and Dynamic Thermal Characterization of Timber Frame/Wheat ( Triticum Aestivum ) Chaff Thermal Insulation Panel for Sustainable Building Construction," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    17. Asdrubali, Francesco & Baldinelli, Giorgio & Bianchi, Francesco & Costarelli, Danilo & Rotili, Antonella & Seracini, Marco & Vinti, Gianluca, 2018. "Detection of thermal bridges from thermographic images by means of image processing approximation algorithms," Applied Mathematics and Computation, Elsevier, vol. 317(C), pages 160-171.
    18. Tori, Felipe & Bustamante, Waldo & Vera, Sergio, 2022. "Analysis of Net Zero Energy Buildings public policies at the residential building sector: A comparison between Chile and selected countries," Energy Policy, Elsevier, vol. 161(C).
    19. Capozzoli, Alfonso & Gorrino, Alice & Corrado, Vincenzo, 2013. "A building thermal bridges sensitivity analysis," Applied Energy, Elsevier, vol. 107(C), pages 229-243.
    20. David Božiček & Roman Kunič & Aleš Krainer & Uroš Stritih & Mateja Dovjak, 2023. "Mutual Influence of External Wall Thermal Transmittance, Thermal Inertia, and Room Orientation on Office Thermal Comfort and Energy Demand," Energies, MDPI, vol. 16(8), pages 1-29, April.

    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:jeners:v:12:y:2019:i:23:p:4595-:d:293507. 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.