Cloud-Based Model Calibration Using OpenStudio: Preprint

Elaine Hale, David Goldwasser, Andrew Parker, Jesse Dean, Nicholas Long, Brian Ball, Marjorie Schott, Lars Lisell, Daniel Macumber, Larry Brackney

Research output: Contribution to conferencePaper


OpenStudio is a free, open source Software Development Kit (SDK) and application suite for performing building energy modeling and analysis. The OpenStudio Parametric Analysis Tool has been extended to allow cloud-based simulation of multiple OpenStudio models parametrically related to a baseline model. This paper describes the new cloud-based simulation functionality and presents a model calibration case study. Calibration is initiated by entering actual monthly utility bill data into the baseline model. Multiple parameters are then varied over multiple iterations to reduce the difference between actual energy consumption and model simulation results, as calculated and visualized by billing period and by fuel type. Simulations are performed in parallel using the Amazon Elastic Cloud service. This paper highlights model parameterizations (measures) used for calibration, but the same multi-nodal computing architecture is available for other purposes, for example, recommending combinations of retrofit energy saving measures using the calibrated model as the new baseline.
Original languageAmerican English
Number of pages16
StatePublished - 2014
EventeSim 2014 - Ottawa, Canada
Duration: 7 May 201410 May 2014


ConferenceeSim 2014
CityOttawa, Canada

NREL Publication Number

  • NREL/CP-5500-61420


  • building energy modeling
  • cloud computing
  • inverse modeling
  • model calibration
  • simulation


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