Cunyi Cheng
Parametric Virtual Design-based Multi-Objective Optimization for Sustainable Building Design
Cheng, Cunyi; Ninic, Jelena; Tizani, Walid
Abstract
With the development of Building Information Modelling aiming for automatic, the automating of sustainability analysis will be a certain requirement in the future. Unlike the current research stream, this paper investigates a novel approach of directly linking parametric architectural models to sustainability optimization through an automatic design-through analysis workflow with the support of parametric virtual design techniques. Data required for optimization was directly extracted from architectural models and then being evaluated. After the optimization, architectural models are automatically updated with optimal parameters through parametric virtual modelling steps. A case study was carried out with optimization of daylight and energy performance for a residential building. The result demonstrates the advantages of directly using architectural models instead of energy models and the possibility of further development.
Conference Name | EG-ICE 2019 26th International Workshop on Intelligent Computing in Engineering |
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Conference Location | Leuven, Belgium |
Start Date | Jun 30, 2019 |
End Date | Jul 3, 2019 |
Acceptance Date | May 15, 2019 |
Online Publication Date | Jul 3, 2019 |
Publication Date | Jul 3, 2019 |
Deposit Date | Jul 10, 2019 |
Publicly Available Date | Jul 10, 2019 |
Publisher | CEUR Workshop Proceedings |
Volume | 2394 |
Series Title | CEUR Workshop Proceedings |
Series ISSN | 1613-0073 |
Public URL | https://nottingham-repository.worktribe.com/output/2295218 |
Related Public URLs | http://ceur-ws.org/Vol-2394/ |
Files
EG-ICE 2019 Paper 48
(582 Kb)
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