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Energy Retrofit Strategies for Residential Building Envelopes: An Italian Case Study of an Early-50s Building

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  • Luca Evangelisti

    (Department of Engineering, University of Roma TRE, via Vito Volterra 62, Rome 00146, Italy)

  • Claudia Guattari

    (Department of Engineering, University of Roma TRE, via Vito Volterra 62, Rome 00146, Italy)

  • Paola Gori

    (Department of Engineering, University of Roma TRE, via Vito Volterra 62, Rome 00146, Italy)

Abstract

During the last few years, the issues of energy efficiency and energy saving have dominated the buildings research field. New constructions are based on efficient design and, because of this, the real challenge is to retrofit existing buildings. Italian standards impose thermal transmittance limits for opaque and transparent surfaces, according to the climatic area. In order to understand buildings’ energy behavior, an accurate analysis, carried out by employing advanced calculation codes and instrumental diagnosis—provided by the use of heat flow meter, surface temperature probes and thermal imaging camera—is needed. In this paper, a structure built in the 50 s has been analyzed, by means of a measurement campaign, to investigate the building’s characteristics and its vulnerability. Finally, some retrofit hypotheses have been evaluated by means of a well-known dynamic code. All investments have to be analyzed under a financial point of view, considering materials and installation costs. For this reason, the payback time has been calculated in order to understand how quickly the energy upgrading can be repaid.

Suggested Citation

  • Luca Evangelisti & Claudia Guattari & Paola Gori, 2015. "Energy Retrofit Strategies for Residential Building Envelopes: An Italian Case Study of an Early-50s Building," Sustainability, MDPI, vol. 7(8), pages 1-16, August.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:8:p:10445-10460:d:53710
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    References listed on IDEAS

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    1. Anna Laura Pisello & Federico Rossi & Franco Cotana, 2014. "Summer and Winter Effect of Innovative Cool Roof Tiles on the Dynamic Thermal Behavior of Buildings," Energies, MDPI, vol. 7(4), pages 1-19, April.
    2. Luca Evangelisti & Gabriele Battista & Claudia Guattari & Carmine Basilicata & Roberto De Lieto Vollaro, 2014. "Influence of the Thermal Inertia in the European Simplified Procedures for the Assessment of Buildings’ Energy Performance," Sustainability, MDPI, vol. 6(7), pages 1-11, July.
    3. Luca Evangelisti & Gabriele Battista & Claudia Guattari & Carmine Basilicata & Roberto De Lieto Vollaro, 2014. "Analysis of Two Models for Evaluating the Energy Performance of Different Buildings," Sustainability, MDPI, vol. 6(8), pages 1-11, August.
    4. Foucquier, Aurélie & Robert, Sylvain & Suard, Frédéric & Stéphan, Louis & Jay, Arnaud, 2013. "State of the art in building modelling and energy performances prediction: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 272-288.
    5. Friedman, Chanoch & Becker, Nir & Erell, Evyatar, 2014. "Energy retrofit of residential building envelopes in Israel: A cost-benefit analysis," Energy, Elsevier, vol. 77(C), pages 183-193.
    6. 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.
    7. Fumo, Nelson, 2014. "A review on the basics of building energy estimation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 53-60.
    8. Gabriele Battista & Luca Evangelisti & Claudia Guattari & Carmine Basilicata & Roberto De Lieto Vollaro, 2014. "Buildings Energy Efficiency: Interventions Analysis under a Smart Cities Approach," Sustainability, MDPI, vol. 6(8), pages 1-12, July.
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    2. Mariangela De Vita & Giulia Massari & Pierluigi De Berardinis, 2020. "Retrofit Methodology Based on Energy Simulation Modeling Applied for the Enhancement of a Historical Building in L’Aquila," Energies, MDPI, vol. 13(12), pages 1-26, June.
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    6. Pierluigi De Berardinis & Marianna Rotilio & Luisa Capannolo, 2017. "Energy and Sustainable Strategies in the Renovation of Existing Buildings: An Italian Case Study," Sustainability, MDPI, vol. 9(8), pages 1-20, August.
    7. Kheira Anissa Tabet Aoul & Rahma Hagi & Rahma Abdelghani & Monaya Syam & Boshra Akhozheya, 2021. "Building Envelope Thermal Defects in Existing and Under-Construction Housing in the UAE; Infrared Thermography Diagnosis and Qualitative Impacts Analysis," Sustainability, MDPI, vol. 13(4), pages 1-23, February.
    8. Carlo Andrea Bollino & Francesco Asdrubali & Paolo Polinori & Simona Bigerna & Silvia Micheli & Claudia Guattari & Antonella Rotili, 2017. "A Note on Medium- and Long-Term Global Energy Prospects and Scenarios," Sustainability, MDPI, vol. 9(5), pages 1-25, May.
    9. Fabio Nardecchia & Benedetta Mattoni & Francesca Pagliaro & Lucia Cellucci & Fabio Bisegna & Franco Gugliermetti, 2016. "Computational Fluid Dynamic Modelling of Thermal Periodic Stabilized Regime in Passive Buildings," Sustainability, MDPI, vol. 8(11), pages 1-18, November.
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