CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
id caadria2018_054
authors Shen, Xiaofei
year 2018
title Environmental Parametric Multi-Objective Optimization for High Performance Facade Design
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 103-112
summary This paper demonstrates the applicability of a data-integrated and user-friendly Multi-Objective Optimization (MOO) method within the Grasshopper (GH) parametric design interface which supports early stage design decision making for High Performance Building (HPB) fašade. With multiple environmental objectives optimized and multiple geometric parameters adjusted in the same intuitive design space, designers with limited knowledge on scripting could easily set up the nodes simultaneously when the design is carried out to achieve the efficiency in HPB design optimization. An experiment utilizing the method, with DIVA as the environmental simulator and Octopus as the MOO solver, is demonstrated for rational daylight distribution, balanced solar heat gain and reduced energy use intensity. The findings show both potentials and limitations of the proposed method.
keywords Multi-Objective Optimization; Environmental Parametrics; Generative Design; High Performance Facade
series CAADRIA
full text file.pdf (6,947,708 bytes)
references Content-type: text/plain
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100%; open Torres, SL and Sakamoto, Y (2007) Find in CUMINCAD Facade Design Optimization for Daylight with A Simple Genetic Algorithm , Building Simulation 2007

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