Combining sensitivity analysis with parametric modeling to inform early design

  • Authors:
  • Julien Nembrini;Steffen Samberger;André Sternitzke;Guillaume Labelle

  • Affiliations:
  • Univeristät der Künste Berlin, Germany;Univeristät der Künste Berlin, Germany;Univeristät der Künste Berlin, Germany;Media & Design Lab, Lausanne, Switzerland

  • Venue:
  • Proceedings of the 2012 Symposium on Simulation for Architecture and Urban Design
  • Year:
  • 2012

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Abstract

By combining parametric scripting with building performance simulations, this work presents how sensitivity analysis can help in the early stages of the design process. By providing quantitative analysis of parameters that influence chosen performance metrics, we can increases the capacity of designers to arbitrate between conflicting performance and design goals. Using a scripted environment linked with EnergyPlus and by using the Morris screening method, we present our approach through a case study. Experiments show the influence of model simplifications and the number of trajectories on accuracy. Qualitative results enable the singling out of specific parameter effects on performance, thereby representing effective design assistance.