Real-time design feedback: Coupling performance-knowledge with design iteration for decision-making

Paola Sanguinetti, Marcelo Bernal, Maher El-Khaldi, Matthew Erwin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


Many commercial environmental analysis tools support the evaluation of a building model based on parameters assigned in the design process. However interoperability issues between different data exchange formats hinder the iteration between design and analysis. Because the engineering calculations involved in analysis and evaluation are not integrated with architectural design parameters, evaluation takes place after the design is already defined, and analysis in real-time is not possible. In this project we integrate architectural design and engineering constraints to support design evolution and decision making by using a set of performance objectives. We propose a framework for coupling performance knowledge with generative synthesis to address multidisciplinary design challenges in the Architecture, Engineering, and Construction (AEC) industry. We develop a tool to support design evaluation based on performance criteria: energy consumption, comfort, and cost. Results show real-time information exchange as links between architectural geometry and engineering parameters. The outcomes of this research describe workflows and methods to evaluate alternative design proposals at early stages in real time.

Original languageEnglish (US)
Title of host publicationSpring Simulation Multiconference 2010, SpringSim'10
StatePublished - 2010
Externally publishedYes
Event2010 Spring Simulation Multiconference, SpringSim'10 - Orlando, FL, United States
Duration: Apr 11 2010Apr 15 2010

Publication series

NameSpring Simulation Multiconference 2010, SpringSim'10


Other2010 Spring Simulation Multiconference, SpringSim'10
Country/TerritoryUnited States
CityOrlando, FL


  • Decision support systems
  • Generative design
  • Normative calculations
  • Performance-based analysis

ASJC Scopus subject areas

  • Applied Mathematics
  • Modeling and Simulation


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