Abstract
Ecological impacts of buildings can be quantified using the method of Lifecycle Assessment (LCA). With the help of digital methods and semantic building models (BIM), those impacts can be reduced by investigation of variants and their LCA comparison. However, there is a large deviation in the results due to inaccuracies in the modeling and the calculation tools. This paper proposes an improved workflow of BIM-integrated LCA avoiding those inaccuracies. As a first step, various sources of error are identified using a model analysis, which is examined with 25 models focusing on geometry and materiality. Thereby different workflows are investigated, modeling recommendations are derived based on the error analysis, and the findings are implemented in a prototype. Through an optimized calculation process, the semi-automatic calculation of life cycle assessments becomes faster, more consistent and more accurate due to the improved integration in BIM.
| Original language | English |
|---|---|
| Article number | 012100 |
| Journal | IOP Conference Series: Earth and Environmental Science |
| Volume | 323 |
| Issue number | 1 |
| DOIs | |
| State | Published - 5 Sep 2019 |
| Event | Sustainable Built Environment D-A-CH Conference 2019: Transition Towards a Net Zero Carbon Built Environment, SBE 2019 Graz - Graz, Austria Duration: 11 Sep 2019 → 14 Sep 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 12 Responsible Consumption and Production
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