Towards Achieving Zero Carbon Targets in Building Retrofits: A Multi-Parameter Building Information Modeling (BIM) Approach Applied to a Case Study of a Thermal Bath

Simone Forastiere, Cristina Piselli (), Benedetta Pioppi, Carla Balocco, Fabio Sciurpi and Anna Laura Pisello
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Simone Forastiere: Department of Architecture (DIDA), University of Florence, Via della Mattonaia 8, 50121 Florence, Italy
Cristina Piselli: Department of Architecture (DIDA), University of Florence, Via della Mattonaia 8, 50121 Florence, Italy
Benedetta Pioppi: EValTech (R&D Department of Elettrica Valeri srl), Via Somigni snc, Gualdo Cattaneo, 06035 Perugia, Italy
Carla Balocco: Department of Architecture (DIDA), University of Florence, Via della Mattonaia 8, 50121 Florence, Italy
Fabio Sciurpi: Department of Architecture (DIDA), University of Florence, Via della Mattonaia 8, 50121 Florence, Italy
Anna Laura Pisello: Department of Engineering, University of Perugia, Via G. Duranti, 06125 Perugia, Italy

Energies, 2023, vol. 16, issue 12, 1-23

Abstract: As the urgency to mitigate climate change intensifies, the achievement of zero carbon targets in the built environment has become a critical objective. Building retrofitting plays a vital role in reducing energy consumption and carbon emissions in existing buildings. This paper presents an approach that combines Building Information Modeling (BIM) with multiple domains to strive for zero carbon targets in building retrofit projects. The proposed approach is based on a dynamic multi-parameter analysis that integrates indoor comfort, energy savings, CO 2eq reduction, and the social cost of carbon while considering investment costs. Renewable energy technologies, such as photovoltaic panels and solar thermal systems, are emphasized to achieve the desired zero-carbon outcomes. Real-time monitoring mechanisms enable continuous performance evaluation and adaptive retrofit strategies for further energy savings. This approach is validated through a case study of an existing thermal bath building, known as “Terme Lucane”, located in southern Italy. The results of the study demonstrate significant reductions in energy consumption and carbon emissions, highlighting the potential of the proposed approach to achieve zero carbon targets through the integration of multi-data BIM implementation. These findings offer a promising pathway for building retrofit projects aiming for zero carbon targets through multi-data BIM modeling.

Keywords: energy efficiency; Building Information Modeling; Building Energy Modeling; dynamic multi-parameter analysis; energy retrofit; thermal comfort; carbon footprint; economic assessment; dynamic simulation; thermal bath building (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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