This study proposes a framework for optimizing building sustainability assessments by integrating Building Information Modeling (BIM) with Visual Programming Languages (VPL) and Artificial Intelligence (AI). The framework enables the achievement of the Sustainable Development Goals (SDGs) promoted by the European Commission, combining parametric tools with AI models, to enhance the accuracy of sustainability evaluations and support the decision-making process from the early stages of design.

Integration between digital methodologies: automated optimization of building sustainability assessments

Giuliana Parisi
2025-01-01

Abstract

This study proposes a framework for optimizing building sustainability assessments by integrating Building Information Modeling (BIM) with Visual Programming Languages (VPL) and Artificial Intelligence (AI). The framework enables the achievement of the Sustainable Development Goals (SDGs) promoted by the European Commission, combining parametric tools with AI models, to enhance the accuracy of sustainability evaluations and support the decision-making process from the early stages of design.
2025
978-88-916-7737-2
Building Information Modeling (BIM), Digital frameworks for Green certification, Environmentally Responsible Construction, AI-based approach, Parametric Approach
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/700929
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