| Title |
A New Building Information Modelling-Based Approach to Automate Recyclability Rate Calculations for Buildings |
| ID_Doc |
21089 |
| Authors |
Eftekhari, AF; Khodabakhshian, A; Iuorio, O; Cecconi, FR; Daniotti, B |
| Title |
A New Building Information Modelling-Based Approach to Automate Recyclability Rate Calculations for Buildings |
| Year |
2024 |
| Published |
Buildings, 14.0, 6 |
| DOI |
10.3390/buildings14061521 |
| Abstract |
To address environmental challenges, the Architecture, Engineering, Construction, and Operations (AECO) industry, which is known for its high resource consumption and waste production, needs to switch to a circular economy (CE). This approach focuses on reducing, recycling, and reusing materials to narrow, slow, and close material loops. However, one of the main problems which the AECO industry is still facing is the lack of common, standardized, and automated procedures to consider the recyclability and presence of hazardous materials. To address this problem, this study focuses on extending the recyclability rate from the material to building scale, considering the presence of hazardous materials based on the European Waste Catalogue (EWC), hence defining a new KPI. It adopts Building Information Modelling (BIM) and Industry Foundation Classes (IFCs) and integrates them with bespoke programming in Python to develop a standardized and automated procedure that complies with Italian regulations. The new KPI will help clients and designers to rate the overall recyclability of a building and to choose the best combination of materials and components. The procedure includes data acquisition, transmission, and data/model integration, resulting in practical and trackable measures that could be globally scalable. Scenario analyses are also developed to consider the impact of maintenance attitude on waste production. |
| Author Keywords |
circular economy; maintenance; building information modelling; industry foundation classes; life-cycle analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001254717600001 |
| WoS Category |
Construction & Building Technology; Engineering, Civil |
| Research Area |
Construction & Building Technology; Engineering |
| PDF |
https://www.mdpi.com/2075-5309/14/6/1521/pdf?version=1716538025
|