Optimizing Energy Renovation in Building Portfolios: Approach and Decision-Making Platform
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 integra...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/17/22/5537 |
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| author | Marco Castagna Olga Somova Cristian Pozza Giuseppe De Michele Federico Garzia Daniele Antonucci Roberta Pernetti |
| author_facet | Marco Castagna Olga Somova Cristian Pozza Giuseppe De Michele Federico Garzia Daniele Antonucci Roberta Pernetti |
| author_sort | Marco Castagna |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2ada0b3518c946b082a42d78bb4fd30f |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-2ada0b3518c946b082a42d78bb4fd30f2024-11-26T18:01:44ZengMDPI AGEnergies1996-10732024-11-011722553710.3390/en17225537Optimizing Energy Renovation in Building Portfolios: Approach and Decision-Making PlatformMarco Castagna0Olga Somova1Cristian Pozza2Giuseppe De Michele3Federico Garzia4Daniele Antonucci5Roberta Pernetti6Institute for Renewable Energy, EURAC Research, Viale Druso/Drususallee 1, 39100 Bolzano, ItalyInstitute for Renewable Energy, EURAC Research, Viale Druso/Drususallee 1, 39100 Bolzano, ItalyInstitute for Renewable Energy, EURAC Research, Viale Druso/Drususallee 1, 39100 Bolzano, ItalyInstitute for Renewable Energy, EURAC Research, Viale Druso/Drususallee 1, 39100 Bolzano, ItalyInstitute for Renewable Energy, EURAC Research, Viale Druso/Drususallee 1, 39100 Bolzano, ItalyInstitute for Renewable Energy, EURAC Research, Viale Druso/Drususallee 1, 39100 Bolzano, ItalyDepartment of Public Health, Experimental and Forensic Medicine, Università degli Studi di Pavia, Via Forlanini 2, 27100 Pavia, ItalyThe 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.https://www.mdpi.com/1996-1073/17/22/5537energy renovationbuilding portfolio managementcost-effective retrofitdecision-support platform |
| spellingShingle | Marco Castagna Olga Somova Cristian Pozza Giuseppe De Michele Federico Garzia Daniele Antonucci Roberta Pernetti Optimizing Energy Renovation in Building Portfolios: Approach and Decision-Making Platform Energies energy renovation building portfolio management cost-effective retrofit decision-support platform |
| title | Optimizing Energy Renovation in Building Portfolios: Approach and Decision-Making Platform |
| title_full | Optimizing Energy Renovation in Building Portfolios: Approach and Decision-Making Platform |
| title_fullStr | Optimizing Energy Renovation in Building Portfolios: Approach and Decision-Making Platform |
| title_full_unstemmed | Optimizing Energy Renovation in Building Portfolios: Approach and Decision-Making Platform |
| title_short | Optimizing Energy Renovation in Building Portfolios: Approach and Decision-Making Platform |
| title_sort | optimizing energy renovation in building portfolios approach and decision making platform |
| topic | energy renovation building portfolio management cost-effective retrofit decision-support platform |
| url | https://www.mdpi.com/1996-1073/17/22/5537 |
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