TY - GEN
T1 - Sustainable Architecture
T2 - 11th International Conference of Ar.Tec. (Scientific Society of Architectural Engineering), Colloqui.AT.e 2024
AU - Cascone, Stefano
AU - Sangiorgio, Valentino
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - This study explores the fusion of green building practices and Building Information Modeling (BIM), with a focus on green roofs. It highlights the construction industry's shift towards sustainability, emphasizing green roofs as a crucial sustainable technology. Using the Dynamo Visual Programming Language in Autodesk Revit, the research automates the creation of parametric models to assess the thermal and structural properties of green roofs under varying moisture levels. Key findings indicate that the choice of substrate and drainage materials significantly impacts thermal resistance in dry conditions and stress the need to evaluate structural performance in both dry and saturated states. The research presents a methodological framework that includes material selection, integration of green roof components, and performance analysis. It examines various green roof materials, analyzing their thermal and physical properties in different moisture conditions. The study showcases how Dynamo in Revit can automate green roof analysis, enabling quick evaluations and informed design choices. This method supports modern eco-friendly design trends, improving building sustainability and performance. However, the research recognizes its limitations, such as a limited focus on specific green roof technologies and performance indicators, and its concentration on the design phase. Future research directions include exploring a broader range of green roof technologies, additional performance metrics, and expanding the scope to encompass construction and maintenance phases. Incorporating AI and machine learning, establishing standardized guidelines, and examining synergies with other sustainable strategies are also suggested. These advancements will enhance the integration of green buildings with BIM, furthering sustainable development in construction.
AB - This study explores the fusion of green building practices and Building Information Modeling (BIM), with a focus on green roofs. It highlights the construction industry's shift towards sustainability, emphasizing green roofs as a crucial sustainable technology. Using the Dynamo Visual Programming Language in Autodesk Revit, the research automates the creation of parametric models to assess the thermal and structural properties of green roofs under varying moisture levels. Key findings indicate that the choice of substrate and drainage materials significantly impacts thermal resistance in dry conditions and stress the need to evaluate structural performance in both dry and saturated states. The research presents a methodological framework that includes material selection, integration of green roof components, and performance analysis. It examines various green roof materials, analyzing their thermal and physical properties in different moisture conditions. The study showcases how Dynamo in Revit can automate green roof analysis, enabling quick evaluations and informed design choices. This method supports modern eco-friendly design trends, improving building sustainability and performance. However, the research recognizes its limitations, such as a limited focus on specific green roof technologies and performance indicators, and its concentration on the design phase. Future research directions include exploring a broader range of green roof technologies, additional performance metrics, and expanding the scope to encompass construction and maintenance phases. Incorporating AI and machine learning, establishing standardized guidelines, and examining synergies with other sustainable strategies are also suggested. These advancements will enhance the integration of green buildings with BIM, furthering sustainable development in construction.
KW - Autodesk Revit Applications
KW - Digital Automation in Construction
KW - Eco-Friendly Building Design
KW - Lifecycle Analysis
KW - Thermal and Structural Performance
UR - http://www.scopus.com/inward/record.url?scp=85209898333&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-71867-0_13
DO - 10.1007/978-3-031-71867-0_13
M3 - Conference contribution
AN - SCOPUS:85209898333
SN - 9783031718663
T3 - Lecture Notes in Civil Engineering
SP - 176
EP - 188
BT - Proceedings of the 11th International Conference of Ar.Tec. (Scientific Society of Architectural Engineering) - Colloqui.AT.e 2024
A2 - Corrao, Rossella
A2 - Campisi, Tiziana
A2 - Colajanni, Simona
A2 - Saeli, Manfredi
A2 - Vinci, Calogero
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 12 June 2024 through 15 June 2024
ER -