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Key Performance Indicators for Decision Support in Building Retrofit Planning: An Italian Case Study

Author

Listed:
  • Ilaria Abbà

    (TEBE-IEEM Research Group, Energy Department, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Giulia Crespi

    (TEBE-IEEM Research Group, Energy Department, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Giulia Vergerio

    (TEBE-IEEM Research Group, Energy Department, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Cristina Becchio

    (TEBE-IEEM Research Group, Energy Department, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Stefano Paolo Corgnati

    (TEBE-IEEM Research Group, Energy Department, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

Abstract

To achieve climate and energy goals in the building sector, the current pace of renovating existing structures must double, overcoming prevailing barriers. Key Performance Indicators play a pivotal role in science-based decision making, emphasizing both direct and indirect benefits of building retrofits. The authors aim to contribute to proper metric identification for multi-perspective building performance assessment and formulate a methodology supporting energy planning decisions. They introduce the Global Cost per Emission Savings (GCES), an aggregated indicator encompassing both public (CO 2 emissions) and private (global cost) perspectives of diverse retrofit technologies for building HVAC systems. Applied to the Italian residential building stock via the Reference Building approach, the methodology is tested using condensing gas boilers, biomass boilers, and electric heat pumps, revealing diverse environmental and economic performances. Addressing the establishment of effective decision-support tools for policymakers, the paper explores the potential impact of various policies on the favorability of technologies. Different policy scenarios are delineated to analyze how distinct approaches may influence the attractiveness of technologies. Notably, in the baseline scenario, biomass boilers hold an advantage over heat pumps according to the GCES index. However, scenarios involving technology-specific incentives or a greenhouse gases emission tax failed to alter the technological ranking, leaving heat pumps financially uncompetitive. In contrast, the TXPM scenario positions heat pumps as the most financially appealing option, penalizing biomass boilers for high particulate matter emissions.

Suggested Citation

  • Ilaria Abbà & Giulia Crespi & Giulia Vergerio & Cristina Becchio & Stefano Paolo Corgnati, 2024. "Key Performance Indicators for Decision Support in Building Retrofit Planning: An Italian Case Study," Energies, MDPI, vol. 17(3), pages 1-22, January.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:3:p:559-:d:1325149
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    References listed on IDEAS

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    1. Corgnati, Stefano Paolo & Fabrizio, Enrico & Filippi, Marco & Monetti, Valentina, 2013. "Reference buildings for cost optimal analysis: Method of definition and application," Applied Energy, Elsevier, vol. 102(C), pages 983-993.
    2. Kylili, Angeliki & Fokaides, Paris A. & Lopez Jimenez, Petra Amparo, 2016. "Key Performance Indicators (KPIs) approach in buildings renovation for the sustainability of the built environment: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 906-915.
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