The building and construction sector significantly impacts CO2 emissions and atmospheric pollutants, contributing to climate change. Improving energy efficiency in buildings is essential to achieving carbon neutrality by 2050, as outlined in the European Green Deal. This study presents a decision-support tool for energy retrofit interventions in existing residential buildings. The methodological approach begins with the identification and classification of common roof and wall types in the national residential building stock, segmented by construction period, followed by defining optimized, pre-calculated standardized solutions. The performance evaluations of proposed solutions resulted in a matrix designed to guide practitioners in selecting pre-calculated, efficient, and sustainable prefabricated solutions based on energy performance criteria. The tool developed from this matrix enables preliminary energy assessment, offering an overview of potential retrofit interventions. It assists designers in identifying specific cases based on construction period, building type, and climate zone, allowing for the selection of standardized solutions, energy pre-analyses, energy and cost-saving simulations, and access to detailed performance sheets. Unlike other tools requiring extensive input on opaque envelope components and thermo-physical calculations, this tool streamlines the selection process of vertical and roof closures based on construction age and building type. Additionally, the tool estimates potential economic savings and the Net Present Value (NPV) of proposed insulation solutions, identifying available incentives for the intervention.

BEST—Building Energy-Saving Tool for sustainable residential buildings / Cecconi, Marco; Cumo, Fabrizio; Pennacchia, Elisa; Romeo, Carlo; Zylka, Claudia. - In: APPLIED SCIENCES. - ISSN 2076-3417. - 15:(2025), pp. 1-24. [10.3390/app15126817]

BEST—Building Energy-Saving Tool for sustainable residential buildings

Fabrizio Cumo
Visualization
;
Elisa Pennacchia
Methodology
;
Carlo Romeo
Conceptualization
;
Claudia Zylka
Data Curation
2025

Abstract

The building and construction sector significantly impacts CO2 emissions and atmospheric pollutants, contributing to climate change. Improving energy efficiency in buildings is essential to achieving carbon neutrality by 2050, as outlined in the European Green Deal. This study presents a decision-support tool for energy retrofit interventions in existing residential buildings. The methodological approach begins with the identification and classification of common roof and wall types in the national residential building stock, segmented by construction period, followed by defining optimized, pre-calculated standardized solutions. The performance evaluations of proposed solutions resulted in a matrix designed to guide practitioners in selecting pre-calculated, efficient, and sustainable prefabricated solutions based on energy performance criteria. The tool developed from this matrix enables preliminary energy assessment, offering an overview of potential retrofit interventions. It assists designers in identifying specific cases based on construction period, building type, and climate zone, allowing for the selection of standardized solutions, energy pre-analyses, energy and cost-saving simulations, and access to detailed performance sheets. Unlike other tools requiring extensive input on opaque envelope components and thermo-physical calculations, this tool streamlines the selection process of vertical and roof closures based on construction age and building type. Additionally, the tool estimates potential economic savings and the Net Present Value (NPV) of proposed insulation solutions, identifying available incentives for the intervention.
2025
energy retrofit solutions; building envelope technologies; building sustainability; innovative building analyses; residential case study
01 Pubblicazione su rivista::01a Articolo in rivista
BEST—Building Energy-Saving Tool for sustainable residential buildings / Cecconi, Marco; Cumo, Fabrizio; Pennacchia, Elisa; Romeo, Carlo; Zylka, Claudia. - In: APPLIED SCIENCES. - ISSN 2076-3417. - 15:(2025), pp. 1-24. [10.3390/app15126817]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1741198
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