TY - GEN
T1 - An Early Decision Support Tool for Energy-Focused Renovation of Residential Buildings
AU - Arregi, Beñat
AU - Castelruiz, Amaia
AU - Prataviera, Enrico
AU - Zarrella, Angelo
AU - Bourreau, Pierre
AU - Viot, Hugo
AU - Çetin, Müge Yüksel
AU - Fuccaro, Massimo
AU - Alonso, Rubén
AU - Armijos-Moya, Tatiana
AU - Konstantinou, Thaleia
AU - Mediavilla, Asier
AU - Vicente-Gómez, Noelia
AU - Mulero, Rubén
AU - Elguezabal, Peru
N1 - Publisher Copyright:
© 2024 University of Split, FESB.
PY - 2024
Y1 - 2024
N2 - In the early stages of building renovation projects, the lack of information on the existing building and an unclear definition of project objectives have been identified as critical bottlenecks. An early decision support tool has been developed to mitigate or overcome these barriers. The tool provides initial estimates tailored to the specific building and climate being assessed, and can be used to guide the renovation design at an early stage, even from very limited information. It includes the automatic generation of potential renovation scenarios, a dynamic energy simulation of existing and renovated cases, integrated economic and environmental assessments from a life cycle perspective, and a multicriteria analysis that ranks renovation alternatives to meet the interests of the stakeholders involved. The user obtains an initial indicative budget and the expected potential benefits of several renovation projects over comfort, energy consumption, economic cost and environmental performance. One of the main assets of the tool is the reduction in time and cost at initial phases of the renovation process, avoiding the need of site visits and the use of more laborious simulation tools.
AB - In the early stages of building renovation projects, the lack of information on the existing building and an unclear definition of project objectives have been identified as critical bottlenecks. An early decision support tool has been developed to mitigate or overcome these barriers. The tool provides initial estimates tailored to the specific building and climate being assessed, and can be used to guide the renovation design at an early stage, even from very limited information. It includes the automatic generation of potential renovation scenarios, a dynamic energy simulation of existing and renovated cases, integrated economic and environmental assessments from a life cycle perspective, and a multicriteria analysis that ranks renovation alternatives to meet the interests of the stakeholders involved. The user obtains an initial indicative budget and the expected potential benefits of several renovation projects over comfort, energy consumption, economic cost and environmental performance. One of the main assets of the tool is the reduction in time and cost at initial phases of the renovation process, avoiding the need of site visits and the use of more laborious simulation tools.
KW - building renovation
KW - decision support tool
KW - energy simulation
KW - life cycle assessment
KW - multicriteria analysis
UR - http://www.scopus.com/inward/record.url?scp=85202446381&partnerID=8YFLogxK
U2 - 10.23919/SpliTech61897.2024.10612484
DO - 10.23919/SpliTech61897.2024.10612484
M3 - Conference contribution
AN - SCOPUS:85202446381
T3 - 2024 9th International Conference on Smart and Sustainable Technologies, SpliTech 2024
BT - 2024 9th International Conference on Smart and Sustainable Technologies, SpliTech 2024
A2 - Solic, Petar
A2 - Nizetic, Sandro
A2 - Rodrigues, Joel J. P. C.
A2 - Rodrigues, Joel J.P.C.
A2 - Gonzalez-de-Artaza, Diego Lopez-de-Ipina
A2 - Perkovic, Toni
A2 - Catarinucci, Luca
A2 - Patrono, Luigi
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Smart and Sustainable Technologies, SpliTech 2024
Y2 - 25 June 2024 through 28 June 2024
ER -