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Optimizing Energy Renovation in Building Portfolios: Approach and Decision-Making Platform

Author

Listed:
  • Marco Castagna

    (Institute for Renewable Energy, EURAC Research, Viale Druso/Drususallee 1, 39100 Bolzano, Italy)

  • Olga Somova

    (Institute for Renewable Energy, EURAC Research, Viale Druso/Drususallee 1, 39100 Bolzano, Italy)

  • Cristian Pozza

    (Institute for Renewable Energy, EURAC Research, Viale Druso/Drususallee 1, 39100 Bolzano, Italy)

  • Giuseppe De Michele

    (Institute for Renewable Energy, EURAC Research, Viale Druso/Drususallee 1, 39100 Bolzano, Italy)

  • Federico Garzia

    (Institute for Renewable Energy, EURAC Research, Viale Druso/Drususallee 1, 39100 Bolzano, Italy)

  • Daniele Antonucci

    (Institute for Renewable Energy, EURAC Research, Viale Druso/Drususallee 1, 39100 Bolzano, Italy)

  • Roberta Pernetti

    (Department of Public Health, Experimental and Forensic Medicine, Università degli Studi di Pavia, Via Forlanini 2, 27100 Pavia, Italy)

Abstract

The building sector contributes significantly to energy consumption and greenhouse gas emissions, with many buildings being energy inefficient. In response, the European Green Deal promotes improving energy efficiency to support decarbonization goals. However, managing energy consumption and integrating data from multiple sources presents challenges, especially for large building portfolios. This study introduces a novel methodology designed to optimize energy renovation strategies, balancing technical, financial, and maintenance considerations. The methodology is implemented in CERPlan 1.0, a web-based decision-support platform that combines data on building energy performance, renovation costs, and maintenance needs. Through simulations, CERPlan 1.0 helps decision-makers prioritize retrofit interventions based on economic criteria while leveraging synergies between energy improvements and regular maintenance. Application of this methodology to real estate portfolios reveals opportunities to enhance cost-effectiveness and energy savings. The results show that integrating maintenance into renovation planning reduces payback times and allows for more comprehensive renovation strategies. The conclusions highlight CERPlan 1.0’s potential to improve decision-making, making building renovations more efficient and sustainable.

Suggested Citation

  • Marco Castagna & Olga Somova & Cristian Pozza & Giuseppe De Michele & Federico Garzia & Daniele Antonucci & Roberta Pernetti, 2024. "Optimizing Energy Renovation in Building Portfolios: Approach and Decision-Making Platform," Energies, MDPI, vol. 17(22), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:22:p:5537-:d:1514868
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    References listed on IDEAS

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    1. Hong, Tianzhen & Piette, Mary Ann & Chen, Yixing & Lee, Sang Hoon & Taylor-Lange, Sarah C. & Zhang, Rongpeng & Sun, Kaiyu & Price, Phillip, 2015. "Commercial Building Energy Saver: An energy retrofit analysis toolkit," Applied Energy, Elsevier, vol. 159(C), pages 298-309.
    2. Diego Menegon & Daniela Lobosco & Leopoldo Micò & Joana Fernandes, 2021. "Labeling of Installed Heating Appliances in Residential Buildings: An Energy Labeling Methodology for Improving Consumers’ Awareness," Energies, MDPI, vol. 14(21), pages 1-17, October.
    3. Lee, Sang Hoon & Hong, Tianzhen & Piette, Mary Ann & Taylor-Lange, Sarah C., 2015. "Energy retrofit analysis toolkits for commercial buildings: A review," Energy, Elsevier, vol. 89(C), pages 1087-1100.
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