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Estimating the Smart Readiness Indicator in the Italian Residential Building Stock in Different Scenarios

Author

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  • Laura Canale

    (Department of Civil and Mechanical Engineering, University of Cassino and South Lazio, 03043 Cassino, Italy
    Faculty of Economy, Universitas Mercatorum, Piazza Mattei 10, 00186 Rome, Italy)

  • Marianna De Monaco

    (Department of Civil and Mechanical Engineering, University of Cassino and South Lazio, 03043 Cassino, Italy)

  • Biagio Di Pietra

    (Dipartimento Unità per l’Efficienza Energetica, Agenzia Nazionale per le Nuove Tecnologie, L’energia e lo Sviluppo Sostenibile (ENEA), Via Anguillarese, 301, 00123 Rome, Italy)

  • Giovanni Puglisi

    (Dipartimento Unità per l’Efficienza Energetica, Agenzia Nazionale per le Nuove Tecnologie, L’energia e lo Sviluppo Sostenibile (ENEA), Via Anguillarese, 301, 00123 Rome, Italy)

  • Giorgio Ficco

    (Department of Civil and Mechanical Engineering, University of Cassino and South Lazio, 03043 Cassino, Italy)

  • Ilaria Bertini

    (Dipartimento Unità per l’Efficienza Energetica, Agenzia Nazionale per le Nuove Tecnologie, L’energia e lo Sviluppo Sostenibile (ENEA), Via Anguillarese, 301, 00123 Rome, Italy)

  • Marco Dell’Isola

    (Department of Civil and Mechanical Engineering, University of Cassino and South Lazio, 03043 Cassino, Italy)

Abstract

The Energy Performance of Buildings Directive 2018/844/EU introduced the smart readiness indicator (SRI) to provide a framework to evaluate and promote building smartness in Europe. In order to establish a methodological framework for the SRI calculation, two technical studies were launched, at the end of which a consolidated methodology to calculate the SRI of a building basing on a flexible and modular multicriteria assessment has been proposed. In this paper the authors applied the above-mentioned methodology to estimate the SRI of the Italian residential building stock in different scenarios. To this end, eight “smart building typologies”, representative of the Italian residential building stock, have been identified. For each smart building typology, the SRI was calculated in three scenarios: (a) base scenario (building stock as it is); (b) an “energy scenario” (simple energy retrofit) and (c) a “smart energy scenario” (energy retrofit from a smart perspective). It was therefore possible to estimate a national average SRI value of 5.0%, 15.7%, and 27.5% in the three above defined scenarios, respectively.

Suggested Citation

  • Laura Canale & Marianna De Monaco & Biagio Di Pietra & Giovanni Puglisi & Giorgio Ficco & Ilaria Bertini & Marco Dell’Isola, 2021. "Estimating the Smart Readiness Indicator in the Italian Residential Building Stock in Different Scenarios," Energies, MDPI, vol. 14(20), pages 1-19, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6442-:d:652131
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    References listed on IDEAS

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    4. Ilaria Vigna & Roberta Pernetti & Giovanni Pernigotto & Andrea Gasparella, 2020. "Analysis of the Building Smart Readiness Indicator Calculation: A Comparative Case-Study with Two Panels of Experts," Energies, MDPI, vol. 13(11), pages 1-18, June.
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    Cited by:

    1. Rosa Francesca De Masi & Gerardo Maria Mauro & Silvia Ruggiero & Francesca Villano, 2023. "Predicting Building Energy Demand and Retrofit Potentials Using New Climatic Stress Indices and Curves," Energies, MDPI, vol. 16(16), pages 1-23, August.

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