Scalable methodology for large scale building energy improvement: Relevance of calibration in model-based retrofit analysis

Yeonsook Heo, Godfried Augenbroe, Diane Graziano, Ralph T. Muehleisen, Leah Guzowski

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)

Abstract

The increasing interest in retrofitting of existing buildings is motivated by the need to make a major contribution to enhancing building energy efficiency and reducing energy consumption and CO2 emission by the built environment. This paper examines the relevance of calibration in model-based analysis to support decision-making for energy and carbon efficiency retrofits of individual buildings and portfolios of buildings. The authors formulate a set of real retrofit decision-making situations and evaluate the role of calibration by using a case study that compares predictions and decisions from an uncalibrated model with those of a calibrated model. The case study illustrates both the mechanics and outcomes of a practical alternative to the expert- and time-intense application of dynamic energy simulation models for large-scale retrofit decision-making under uncertainty.

Original languageEnglish
Pages (from-to)342-350
Number of pages9
JournalBuilding and Environment
Volume87
DOIs
Publication statusPublished - 2015 May 1

Keywords

  • Bayesian calibration
  • Large-scale retrofit analysis
  • Normative model
  • Uncertainty analysis

ASJC Scopus subject areas

  • Environmental Engineering
  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Building and Construction

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