Construction faces increasing sustainability performance, material and manpower scarcity and a growing shift into urban renovation processes, demanding time, cost and material efficiency. High-performing renovations can significantly reduce the building life cycle impact, but as Architects and Engineers transition to the BIM methodology, they find that computational tools and data to support sustainability and circular economy goals are primarily non-existing. This research aims to support informed decision-making on building renovation scenarios at early design phases from a circular material management perspective. The specific goals are: i) collect and define design criteria that guide construction designers to informed decisions, ii) develop BIM-based tools that identify the optimal design scenarios, and then iii) optimise the proposed tools with machine learning techniques. The expected results are a bim-based methodology that, through computational techniques, becomes more accurate over time and a database with the characterisation and environmental assessment of several renovation projects.

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BIM,LCA,Renovation Scenarios

Best Poster "Sustainable Cities" | MIT Portugal Program Student Poster Award 2024 | 2024 MIT Portugal Annual Conference