Risk analysis of energy-efficiency projects based on bayesian calibration of building energy models

Yeonsook Heo, Godfried Augenbroe, Ruchi Choudhary

Research output: Contribution to conferencePaper

15 Citations (Scopus)

Abstract

This paper presents a risk analysis method based on Bayesian calibration of building energy models. The Bayesian approach enables probabilistic outputs from the energy model, which are used to quantify risks associated with investing in energy conservation measures in existing buildings. This paper demonstrates the applicability of the proposed methodology to support energy saving contracts in the context of the ESCO industry. A case study illustrates the importance of quantifying relative risks by comparing the probabilistic outputs derived from the Bayesian approach to standard practices endorsed by International Performance Measurement and Verification Protocol and ASHRAE guideline 14.

Original languageEnglish
Pages2579-2586
Number of pages8
Publication statusPublished - 2011 Dec 1
Externally publishedYes
Event12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011 - Sydney, NSW, Australia
Duration: 2011 Nov 142011 Nov 16

Conference

Conference12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011
CountryAustralia
CitySydney, NSW
Period11/11/1411/11/16

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ASJC Scopus subject areas

  • Computer Science Applications
  • Building and Construction
  • Architecture
  • Modelling and Simulation

Cite this

Heo, Y., Augenbroe, G., & Choudhary, R. (2011). Risk analysis of energy-efficiency projects based on bayesian calibration of building energy models. 2579-2586. Paper presented at 12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011, Sydney, NSW, Australia.