A computational design exploration platform supporting the formulation of design concepts

A computational design exploration platform supporting the formulation of design concepts

Yang, D. (TU Delft Design Informatics; South China University of Technology)
Sun, Yimin (South China University of Technology)
Di Stefano, D. (ESTECO SpA)
Turrin, M. (TU Delft Design Informatics; South China University of Technology)

Turrin, Michela (editor)
Peters, Brady (editor)
O'Brien, William (editor)
Stouffs, Rudi (editor)
Dogan, Timur (editor)

2017

The comparison of various competing design concepts during conceptual architectural design is commonly needed for achieving a good final concept. For this, computational design exploration is a key approach. Unfortunately, most
of existing research tends to skip this crucial process, and purely focuses on the late-stage design optimization based on a single concept that, they assume, has been good enough or accepted already. This paper focuses on information or knowledge extracted from a multi-objective design exploration for the formulation of a good geometrical building design concept. To better support the exploration process, a new integration plug-in is developed to integrate parametric modelling software and process integration and optimization software. Through a case study that investigates the daylight and energy performances of a large indoor space, this paper 1) tackles the importance of design exploration on the formulation of a good design concept; 2) presents and shows the usability of the new integration plug-in for supporting the exploration process.

Multi-objective design exploration
Design concepts
Trade-off; Comparison
Top daylighting
Energy
Daylight

http://resolver.tudelft.nl/uuid:863d7ab7-4a9f-4f99-91da-f286ce669274

Simulation Councils, Toronto

978-1-365-88878-6

Proceedings of the Symposium on Simulation for Architecture and Urban Design 2017: SimAUD 2017

Symposium on Simulation for Architecture and Urban Design, 2017-05-22 → 2017-05-24, Toronto, Canada

Institutional Repository

conference paper

© 2017 D. Yang, Yimin Sun, D. Di Stefano, M. Turrin