A framework for meta-disciplinary building analysis

Conference Paper (2023)
Author(s)

Tim Pat McGinley (Technical University of Denmark (DTU))

Thomas Krijnen (TU Delft - Urban Data Science)

Research Group
Urban Data Science
DOI related publication
https://doi.org/10.1201/9781003354222-83
More Info
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Publication Year
2023
Language
English
Research Group
Urban Data Science
Pages (from-to)
654-661
ISBN (print)
9781032406732

Abstract

Designing sustainable buildings requires the orchestration of analysis processes throughout a building’s lifecycle. The siloing of disciplinary knowledge, tools and processes can mean that analysis is wastefully repeated or omitted in siloed disciplinary models and data. Therefore, this paper proposes a framework for meta-disciplinary building analysis consisting of three modules: (1) common building elements for building analysis; (2) the analytical needs of different disciplines, and finally; (3) computational approaches that could be applied to provide this analysis. Finally, a methodology of analytic moves is presented to explore the framework and identify potential future work.

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