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 sig- nificantly 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.

Sustainable Architecture: Computational Modeling of Green Roofs Through BIM and Dynamo VPL Integration

Valentino Sangiorgio
2024-01-01

Abstract

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 sig- nificantly 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.
2024
978-3-031-71866-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11564/843232
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