CUED Publications database

Evaluation of calibration efficacy under different levels of uncertainty

Heo, Y and Graziano, DJ and Guzowski, L and Muehleisen, RT (2014) Evaluation of calibration efficacy under different levels of uncertainty. Journal of Building Performance Simulation. ISSN 1940-1493

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Abstract

This paper examines how calibration performs under different levels of uncertainty in model input data. It specifically assesses the efficacy of Bayesian calibration to enhance the reliability of EnergyPlus model predictions. A Bayesian approach can be used to update uncertain values of parameters, given measured energy-use data, and to quantify the associated uncertainty. We assess the efficacy of Bayesian calibration under a controlled virtual-reality setup, which enables rigorous validation of the accuracy of calibration results in terms of both calibrated parameter values and model predictions. Case studies demonstrate the performance of Bayesian calibration of base models developed from audit data with differing levels of detail in building design, usage, and operation. © 2014 © 2014 International Building Performance Simulation Association (IBPSA).

Item Type: Article
Uncontrolled Keywords: Bayesian calibration energy audit energy simulation model uncertainty analysis
Subjects: UNSPECIFIED
Divisions: Div D > Structures
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 18:59
Last Modified: 21 Nov 2017 03:19
DOI: