Enumerating a Diverse Set of Building Designs Using Discrete Optimization: Preprint

Research output: Contribution to conferencePaper


Numerical optimization is a powerful method for identifying energy-efficient building designs. Automating the search process facilitates the evaluation of many more options than is possible with one-off parametric simulation runs. However, input data uncertainties and qualitative aspects of building design work against standard optimization formulations that return a single, so-called optimaldesign. This paper presents a method for harnessing a discrete optimization algorithm to obtain significantly different, economically viable building designs that satisfy an energy efficiency goal. The method is demonstrated using NREL's first-generation building analysis platform, Opt- E-Plus, and two example problems. We discuss the information content of the results, and the computationaleffort required by the algorithm.
Original languageAmerican English
Number of pages11
StatePublished - 2010
EventSimBuild 2010 - New York, New York
Duration: 15 Aug 201019 Aug 2010


ConferenceSimBuild 2010
CityNew York, New York

NREL Publication Number

  • NREL/CP-550-48386


  • discrete optimization
  • numerical optimization
  • Opt-E-Plus


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