IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v107y2013icp229-243.html
   My bibliography  Save this article

A building thermal bridges sensitivity analysis

Author

Listed:
  • Capozzoli, Alfonso
  • Gorrino, Alice
  • Corrado, Vincenzo

Abstract

Along with the entry into force of the new European Directive 2010/31/EU on the Energy Performance of Buildings (EPBD recast), each Member State has the responsibility of supporting activities for the construction of nearly zero energy buildings with a very high energy performance. In order to achieve the new EU directive targets, designers, in addition to having to use innovative building components, also have to pay more attention to the construction details which mostly affect building envelope heat losses. It is therefore necessary not only to properly design structural nodes, in order to minimize such energy losses, but also to identify accurate numerical methods in order to appreciate the benefits of a proper design. A sensitivity analysis based on an extensive study of the linear thermal transmittance value of many types of thermal bridge, based on the methodology specified in EN ISO 10211, has been carried out in the presented work. After having defined the input design variables and considering a range of variation for each of them for the linear thermal transmittance evaluation, a non-linear regression model has been specifically developed for each analyzed thermal bridge, considering the output values of a numerical code as data set. In order to perform the sensitivity analysis a significant and representative number of cases have been generated, using a sampling technique. The ANOVA–FAST method has been performed, on the basis of the obtained results, in order to assess the contribution of each input design variable to the deviation of the linear thermal transmittance for each kind of thermal bridge.

Suggested Citation

  • Capozzoli, Alfonso & Gorrino, Alice & Corrado, Vincenzo, 2013. "A building thermal bridges sensitivity analysis," Applied Energy, Elsevier, vol. 107(C), pages 229-243.
    • Handle: RePEc:eee:appene:v:107:y:2013:i:c:p:229-243
    DOI: 10.1016/j.apenergy.2013.02.045
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261913001530
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2013.02.045?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Mechri, Houcem Eddine & Capozzoli, Alfonso & Corrado, Vincenzo, 2010. "USE of the ANOVA approach for sensitive building energy design," Applied Energy, Elsevier, vol. 87(10), pages 3073-3083, October.
    3. 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. 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.
    2. Baldinelli, G. & Bianchi, F., 2014. "Windows thermal resistance: Infrared thermography aided comparative analysis among finite volumes simulations and experimental methods," Applied Energy, Elsevier, vol. 136(C), pages 250-258.
    3. 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.
    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. 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.
    6. 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.
    7. 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.
    8. Zhao, Zeming & Li, Hangxin & Wang, Shengwei, 2022. "Identification of the key design parameters of Zero/low energy buildings and the impacts of climate and building morphology," Applied Energy, Elsevier, vol. 328(C).
    9. 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.
    10. 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.
    11. 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.
    12. Qiong He & S. Thomas Ng & Md. Uzzal Hossain & Martin Skitmore, 2019. "Energy-Efficient Window Retrofit for High-Rise Residential Buildings in Different Climatic Zones of China," Sustainability, MDPI, vol. 11(22), pages 1-19, November.
    13. Robert Studziński, 2021. "Analytical Models of Axially Loaded Blind Rivets Used with Sandwich Beams," Energies, MDPI, vol. 14(3), pages 1-13, January.
    14. Yao, Jian, 2014. "Determining the energy performance of manually controlled solar shades: A stochastic model based co-simulation analysis," Applied Energy, Elsevier, vol. 127(C), pages 64-80.
    15. 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).
    16. 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).
    17. Pang, Zhihong & O'Neill, Zheng, 2018. "Uncertainty quantification and sensitivity analysis of the domestic hot water usage in hotels," Applied Energy, Elsevier, vol. 232(C), pages 424-442.
    18. Taehoon Hong & Jimin Kim & Juyoung Lee & Choongwan Koo & Hyo Seon Park, 2013. "Assessment of Seasonal Energy Efficiency Strategies of a Double Skin Façade in a Monsoon Climate Region," Energies, MDPI, vol. 6(9), pages 1-25, August.
    19. Yeong Huei Lee & Mugahed Amran & Yee Yong Lee & Ahmad Beng Hong Kueh & Siaw Fui Kiew & Roman Fediuk & Nikolai Vatin & Yuriy Vasilev, 2021. "Thermal Behavior and Energy Efficiency of Modified Concretes in the Tropical Climate: A Systemic Review," Sustainability, MDPI, vol. 13(21), pages 1-24, October.
    20. Singh, Ramkishore & Lazarus, I.J. & Kishore, V.V.N., 2016. "Uncertainty and sensitivity analyses of energy and visual performances of office building with external venetian blind shading in hot-dry climate," Applied Energy, Elsevier, vol. 184(C), pages 155-170.
    21. 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.
    22. 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.
    23. 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. 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.
    2. 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.
    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. 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. 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.
    6. 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.
    7. Fokaides, Paris A. & Jurelionis, Andrius & Gagyte, Laura & Kalogirou, Soteris A., 2016. "Mock target IR thermography for indoor air temperature measurement," Applied Energy, Elsevier, vol. 164(C), pages 676-685.
    8. 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.
    9. Liang Zhao & Wei Zhang & Wenshun Wang, 2022. "BIM-Based Multi-Objective Optimization of Low-Carbon and Energy-Saving Buildings," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    10. Davide Coraci & Silvio Brandi & Marco Savino Piscitelli & Alfonso Capozzoli, 2021. "Online Implementation of a Soft Actor-Critic Agent to Enhance Indoor Temperature Control and Energy Efficiency in Buildings," Energies, MDPI, vol. 14(4), pages 1-26, February.
    11. Francesco Asdrubali & Cinzia Buratti & Franco Cotana & Giorgio Baldinelli & Michele Goretti & Elisa Moretti & Catia Baldassarri & Elisa Belloni & Francesco Bianchi & Antonella Rotili & Marco Vergoni &, 2013. "Evaluation of Green Buildings’ Overall Performance through in Situ Monitoring and Simulations," Energies, MDPI, vol. 6(12), pages 1-23, December.
    12. Lei, Nuoa & Masanet, Eric, 2020. "Statistical analysis for predicting location-specific data center PUE and its improvement potential," Energy, Elsevier, vol. 201(C).
    13. 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.
    14. 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.
    15. 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.
    16. Yildiz, Yusuf & Korkmaz, Koray & Göksal Özbalta, Türkan & Durmus Arsan, Zeynep, 2012. "An approach for developing sensitive design parameter guidelines to reduce the energy requirements of low-rise apartment buildings," Applied Energy, Elsevier, vol. 93(C), pages 337-347.
    17. Chen, Xi & Yang, Hongxing & Wang, Yuanhao, 2017. "Parametric study of passive design strategies for high-rise residential buildings in hot and humid climates: miscellaneous impact factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 442-460.
    18. Ascione, Fabrizio & Bianco, Nicola & de’ Rossi, Filippo & Turni, Gianluca & Vanoli, Giuseppe Peter, 2013. "Green roofs in European climates. Are effective solutions for the energy savings in air-conditioning?," Applied Energy, Elsevier, vol. 104(C), pages 845-859.
    19. O'Grady, Małgorzata & Lechowska, Agnieszka A. & Harte, Annette M., 2017. "Quantification of heat losses through building envelope thermal bridges influenced by wind velocity using the outdoor infrared thermography technique," Applied Energy, Elsevier, vol. 208(C), pages 1038-1052.
    20. Tian, Wei, 2013. "A review of sensitivity analysis methods in building energy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 411-419.

    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:eee:appene:v:107:y:2013:i:c:p:229-243. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.