| id |
ecaade2024_254 |
| authors |
M. Sadeghi, Hassan; Erhan, Halil; M. Abuzuraiq, Ahmed |
| year |
2024 |
| title |
Sustainability Data Analytics an Integrated Data-Informed Approach for Assessing the Sustainability of Design Alternatives |
| doi |
https://doi.org/10.52842/conf.ecaade.2024.1.725
|
| source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 725–734 |
| summary |
This study presents an interactive visualization strategy for evaluating design alternatives' sustainability, driven by data from building information modelling (BIM) and life cycle assessment (LCA). After outlining a workflow, we identified the key interaction features of sustainability data to evaluate and improve LCA performance. The low-fidelity prototype, called Green Plans, is presented as a design analytics system aiming to describe these key features. The prototype uses parallel coordinates and Sankey diagrams to examine how form, material, and envelope affect sustainability, and the analytic hierarchy process (AHP) is used to inform the conceptual design. Sustainability is evaluated using key metrics such as global warming potential (GWP), energy consumption, and greenhouse gas (GHG) emissions. The study proposes design data visualization and suggests improvements in simulation, comparative analysis, and integration with design tools. |
| keywords |
sustainability assessment, comparative analytics, Life Cycle Assessment, interactive design data visualization, design analytics |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (933,719 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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