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000163038 005__ 20190316235026.0
000163038 0247_ $$2doi$$a10.1080/19401493.2010.549572
000163038 022__ $$a1940-1493
000163038 037__ $$aARTICLE
000163038 245__ $$aA Generative Façade Design Method Based on Daylighting Performance Goals
000163038 269__ $$a2012
000163038 260__ $$bTaylor & Francis$$c2012
000163038 336__ $$aJournal Articles
000163038 520__ $$aSuccessful daylighting design is a complex task which requires the designer to consider numerous design elements and their effects on multiple performance criteria. Facades in particular include many variables which may dramatically impact daylighting performance. Genetic algorithms (GAs) are optimization methods which are suitable for searching large solution spaces such as those presented by design problems. This paper presents a GA-based tool which facilitates the exploration of facade designs generated based on illuminance and/or glare objectives. The method allows the user to input an original 3d massing model and performance goals. The overall building form remains the same while facade elements may change. Ten parameters were considered, including materials and geometry of apertures and shading devices. A simple building data model is used to automatically generate a 3d model of each solution. Results from single and multi-objective case studies are presented to demonstrate a successful goal-driven design exploration process.
000163038 6531_ $$adaylighting
000163038 6531_ $$agenetic algorithm
000163038 6531_ $$afacade optimization
000163038 6531_ $$agenerative design system
000163038 700__ $$aGagne, J. M. L.
000163038 700__ $$g103938$$aAndersen, Marilyne$$0241777
000163038 773__ $$j5$$tJournal of Building Performance Simulation$$k3$$q141-154
000163038 8564_ $$uhttps://infoscience.epfl.ch/record/163038/files/26_2011_JBPS-GenerativeDesign_1.png$$zn/a$$s149035$$yn/a
000163038 8564_ $$uhttps://infoscience.epfl.ch/record/163038/files/A%20generative%20facade.pdf$$s921083
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000163038 937__ $$aEPFL-ARTICLE-163038
000163038 973__ $$rREVIEWED$$sPUBLISHED$$aOTHER
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