Feasibility of Automating Measurement Methods for Circular Economy Potential in a BIM Environment

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Názov: Feasibility of Automating Measurement Methods for Circular Economy Potential in a BIM Environment
Autori: Gupta, Bibek, Sibenik, Goran, Herthogs, Pieter, Stouffs, Rudi
Informácie o vydavateľovi: ETH Zurich, 2025.
Rok vydania: 2025
Predmety: Design strategies, Automation, Circularity assessment, Revit, building adaptability, Circularity metrics, Building flexibility, Dynamo
Popis: To enhance the circular economy potential of built structures, which we define as the extent to which they can support circular economies, a wide range of strategies, such as adaptability, flexibility, and transformability, have been proposed. While there are various methods to quantify these strategies for a built structure, they all need significant time, information, and specialised knowledge. Automating these quantification methods within a BIM environment could significantly streamline the assessment process. While some quantification methods have been automated in a BIM environment, no studies have conducted a structured investigation into the potential of BIM automation across multiple methods. To address this gap, 16 quantification methods identified in a previous study have been reviewed, including their required input parameters. This study classifies these input parameters into three categories: those that are readily available in BIM models, those that are derivable from BIM models using algorithms, and those considered non-BIM input parameters. To check the feasibility of automation with BIM models, Revit, the most widely used BIM software, is combined with Dynamo to automate parameter extraction, illustrating each method’s level of difficulty for automation. This study reveals that among the 16 methods, only one could be fully automated in BIM. Ten others showed strong automation potential, with most of their inputs available in the BIM environment. In contrast, five methods were more difficult to automate due to their reliance on non-BIM-based inputs like household profiles or building regulations. Furthermore, the study observed that variations in the level of information and modelling practices across different BIM models appear to influence the feasibility of automating these methods. The findings of this study can support the development of a tool to measure circular economy potential by identifying the types of information needed for quantification methods and analysing their automation feasibility in a BIM environment.
Druh dokumentu: Conference object
Jazyk: English
DOI: 10.3929/ethz-c-000783133
Prístupové číslo: edsair.doi...........a04f074905e449739c8b4d3fdfffe383
Databáza: OpenAIRE
Popis
Abstrakt:To enhance the circular economy potential of built structures, which we define as the extent to which they can support circular economies, a wide range of strategies, such as adaptability, flexibility, and transformability, have been proposed. While there are various methods to quantify these strategies for a built structure, they all need significant time, information, and specialised knowledge. Automating these quantification methods within a BIM environment could significantly streamline the assessment process. While some quantification methods have been automated in a BIM environment, no studies have conducted a structured investigation into the potential of BIM automation across multiple methods. To address this gap, 16 quantification methods identified in a previous study have been reviewed, including their required input parameters. This study classifies these input parameters into three categories: those that are readily available in BIM models, those that are derivable from BIM models using algorithms, and those considered non-BIM input parameters. To check the feasibility of automation with BIM models, Revit, the most widely used BIM software, is combined with Dynamo to automate parameter extraction, illustrating each method’s level of difficulty for automation. This study reveals that among the 16 methods, only one could be fully automated in BIM. Ten others showed strong automation potential, with most of their inputs available in the BIM environment. In contrast, five methods were more difficult to automate due to their reliance on non-BIM-based inputs like household profiles or building regulations. Furthermore, the study observed that variations in the level of information and modelling practices across different BIM models appear to influence the feasibility of automating these methods. The findings of this study can support the development of a tool to measure circular economy potential by identifying the types of information needed for quantification methods and analysing their automation feasibility in a BIM environment.
DOI:10.3929/ethz-c-000783133