Parametric Virtual Design-based Multi-Objective Optimization for Sustainable Building Design

Cunyi Cheng, Jelena Ninic, Walid Tizani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationEG-ICE 2019 Workshop on Intelligent Computing in Engineering
Publication statusPublished - Jun 2019

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