Abstract
Design for deconstruction (DfD) increases reusable components extracted from old structures by considering the ease of deconstruction from a construction project's early stage. However, due to a lack of tools and methods for evaluating DfD performance, quantifying the benefits of DfD for practical application is difficult. This study proposes a tool based on building information modeling for DfD to provide automated DfD performance evaluation results that include the mathematical evaluation score, CO2 emission, and cost. To validate the tool, we conducted a case study, assuming a steel structure design. Accordingly, it enables the development of deconstruction options and designs that reduce CO2 emissions and costs by up to 40.1% and 1.3%, respectively, when compared to initial alternatives. Reuse can reduce CO2 emissions and costs that increase per the deconstruction options. The study highlights the importance of analyzing the environmental load and cost of various deconstruction options that have been excluded from previous studies.
| Original language | English |
|---|---|
| Article number | 135343 |
| Journal | Journal of Cleaner Production |
| Volume | 383 |
| DOIs | |
| State | Published - 10 Jan 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- Building information modeling
- Deconstructability
- Design for deconstruction
- Graph-based evaluation
- Subgraph matching
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