| id |
cf2017_051 |
| authors |
Chen, Kian Wee; Janssen, Patrick; Norford, Leslie |
| year |
2017 |
| title |
Automatic Parameterisation of Semantic 3D City Models for Urban Design Optimisation |
| source |
Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 51-65. |
| summary |
We present an auto-parameterisation tool, implemented in Python, that takes in a semantic model, in CityGML format, and outputs a parametric model. The parametric model is then used for design optimisation of solar availability and urban ventilation potential. We demonstrate the tool by parameterising a CityGML model regarding building height, orientation and position and then integrate the parametric model into an optimisation process. For example, the tool parameterises the orientation of a design by assigning each building an orientation parameter. The parameter takes in a normalised value from an optimisation algorithm, maps the normalised value to a rotation value and rotates the buildings. The solar and ventilation performances of the rotated design is then evaluated. Based on the evaluation results, the optimisation algorithm then searches through the parameter values to achieve the optimal performances. The demonstrations show that the tool eliminates the need to set up a parametric model manually, thus making optimisation more accessible to designers. |
| keywords |
City Information Modelling, Conceptual Urban Design, Parametric Modelling, Performance-Based Urban Design |
| series |
CAAD Futures |
| email |
|
| full text |
 file.pdf (1,047,127 bytes) |
| references |
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| last changed |
2017/12/01 14:37 |
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