CUED Publications database

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

Heo, Y and Augenbroe, G and Graziano, D and Muehleisen, RT and Guzowski, L (2014) Scalable methodology for large scale building energy improvement: Relevance of calibration in model-based retrofit analysis. Building and Environment. ISSN 0360-1323

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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.

Item Type: Article
Uncontrolled Keywords: Bayesian calibration Large-scale retrofit analysis Normative model Uncertainty analysis
Subjects: UNSPECIFIED
Divisions: Div D > Structures
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 18:59
Last Modified: 23 Nov 2017 04:21
DOI: