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A New Methodology for Assessing the Energy Consumption of Building Stocks

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  • Ilaria Ballarini

    (Department of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Vincenzo Corrado

    (Department of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

Abstract

The refurbishment of the existing building stocks represents a great potential for energy savings. To make the refurbishment effective, proper modeling of the current energy performance is needed. In most European countries, few and low quality data on the energy performance and on the refurbishment of building stocks are revealed, which increases the risk of not getting representative results. The article presents a new methodology for an effective bottom-up energy modeling, aimed at evaluating the current energy performance of housing stocks. The model is set up according to the IEE-EPISCOPE Project (Energy Performance Indicator Tracking Schemes for the Continuous Optimisation of Refurbishment Processes in European Housing Stocks, 2013–2016), which developed a framework of reliable data and clearly stated model assumptions, as to overcome the lack of data while guaranteeing transparency. The model, applied to an Italian region, is based on statistical data and uses the building typology approach. The energy performance is calculated by means of a quasi-steady state method. A correlation between the estimated and the real energy consumption is obtained. The model allows disaggregating the residential building stock in subsets to identify the main potential for energy savings in specific contexts. Improvements of the current data availability are strongly advisable to keep the model updated.

Suggested Citation

  • Ilaria Ballarini & Vincenzo Corrado, 2017. "A New Methodology for Assessing the Energy Consumption of Building Stocks," Energies, MDPI, vol. 10(8), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1102-:d:106124
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    References listed on IDEAS

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    4. Sergio Gómez Melgar & Miguel Ángel Martínez Bohórquez & José Manuel Andújar Márquez, 2018. "uhuMEB: Design, Construction, and Management Methodology of Minimum Energy Buildings in Subtropical Climates," Energies, MDPI, vol. 11(10), pages 1-34, October.
    5. Avichal Malhotra & Simon Raming & Jérôme Frisch & Christoph van Treeck, 2021. "Open-Source Tool for Transforming CityGML Levels of Detail," Energies, MDPI, vol. 14(24), pages 1-26, December.
    6. Hanan S.S. Ibrahim & Ahmed Z. Khan & Shady Attia & Yehya Serag, 2021. "Classification of Heritage Residential Building Stock and Defining Sustainable Retrofitting Scenarios in Khedivial Cairo," Sustainability, MDPI, vol. 13(2), pages 1-26, January.
    7. Amar Bennadji & Mohammed Seddiki & Jamal Alabid & Richard Laing & David Gray, 2022. "Predicting Energy Savings of the UK Housing Stock under a Step-by-Step Energy Retrofit Scenario towards Net-Zero," Energies, MDPI, vol. 15(9), pages 1-18, April.
    8. Prades-Gil, C. & Viana-Fons, J.D. & Masip, X. & Cazorla-Marín, A. & Gómez-Navarro, T., 2023. "An agile heating and cooling energy demand model for residential buildings. Case study in a mediterranean city residential sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    9. Miguel Á. García-Fuentes & Sonia Álvarez & Víctor Serna & Maxime Pousse & Alberto Meiss, 2019. "Integration of Prioritisation Criteria in the Design of Energy Efficient Retrofitting Projects at District Scale: A Case Study," Sustainability, MDPI, vol. 11(14), pages 1-23, July.
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