Uncertainty quantification in energy efficient building performance simulations.

Number: pap. 3592

Author(s) : PELES S., AHUJA S., NARAYANAN S.

Summary

Whole building energy models do not always provide satisfactory predictions to facilitate decision making during design, due to large number of uncertainties in model input parameters. In this work the authors present a computationally efficient process for uncertainty quantification, sensitivity analysis and automated calibration of building models. They demonstrate their methodology using an energy simulation model of a medium sized office building.

Available documents

Format PDF

Pages: 10 p.

Available

  • Public price

    20 €

  • Member price*

    15 €

* Best rate depending on membership category (see the detailed benefits of individual and corporate memberships).

Details

  • Original title: Uncertainty quantification in energy efficient building performance simulations.
  • Record ID : 30006846
  • Languages: English
  • Subject: Environment
  • Source: 2012 Purdue Conferences. 2nd International High Performance Buildings Conference at Purdue.
  • Publication date: 2012/07/16

Links


See other articles from the proceedings (42)
See the conference proceedings