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

Laura Canale, Marianna De Monaco, Biagio Di Pietra, Giovanni Puglisi, Giorgio Ficco, Ilaria Bertini and Marco Dell’Isola
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Laura Canale: Department of Civil and Mechanical Engineering, University of Cassino and South Lazio, 03043 Cassino, 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

Energies, 2021, vol. 14, issue 20, 1-19

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.

Keywords: smart buildings; smart readiness indicator; energy efficiency; Italian building stock; energy saving; energy performance of buildings directive (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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