| Issue |
MATEC Web Conf.
Volume 278, 2019
2018 2nd International Conference on Building Materials and Materials Engineering (ICBMM 2018)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 6 | |
| Section | Architectural Design and Management | |
| DOI | https://doi.org/10.1051/matecconf/201927804001 | |
| Published online | 08 April 2019 | |
Computational BIM for Building Envelope Sustainability Optimization
1
Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor, Malaysia
2
Centre for the Study of Built Environment in the Malay World, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor, Malaysia
3
School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor, Malaysia
Building envelope plays an important role to protect a building from external climatic factors while providing a comfortable indoor environment. However, the choices of construction materials, opening sizes, and glazing types for optimized sustainability performance require discrete analyses and decision-making processes. Thereby this study explores the use of computational building information modelling (BIM) to automate the process of design decision-making for building envelope sustainability optimization. A BIM tool (Revit), a visual programming tool (Dynamo) and multi objective optimization algorithm were integrated to create a computational BIM-based optimization model for building envelope overall thermal transfer value (OTTV) and construction cost. The proposed model was validated through a test case; the results showed that the optimized design achieved 44.78% reduction in OTTV but 19.64% increment in construction cost compared to the original design. The newly developed computational BIM optimization model can improve the level of automation in design process for sustainability.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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