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Energies 2015, 8(4), 2548-2574; doi:10.3390/en8042548

Methodologies and Advancements in the Calibration of Building Energy Models

1
DISAFA, Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco (TO), Italy
2
DENERG, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Enrico Sciubba
Received: 16 December 2014 / Revised: 10 February 2015 / Accepted: 24 March 2015 / Published: 31 March 2015
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Abstract

Buildings do not usually perform during operation as well as predicted during the design stage. Disagreement between simulated and metered energy consumption represents a common issue in building simulation. For this reason, the calibration of building simulation models is of growing interest. Sensitivity and uncertainty analyses play an important role in building model accuracy. They can be used to identify the building model parameters most influent on the energy consumption. Given this, these analyses should be integrated within calibration methodologies and applications for tuning the parameters. This paper aims at providing a picture of the state of the art of calibration methodologies in the domain of building energy performance assessment. First, the most common methodologies for calibration are presented, emphasizing criticalities and gaps that can be faced. In particular the main issues to be addressed, when carrying out calibrated simulation, are discussed. The standard statistical criteria for considering the building models calibrated and for evaluating their goodness-of-fit are also presented. Second, the commonly used techniques for investigating uncertainties in building models are reviewed. Third, a review of the latest main studies in the calibrated simulation domain is presented. Criticalities and recommendations for new studies are finally provided. View Full-Text
Keywords: calibration methodologies; building performance simulation; sensitivity analysis; uncertainty analysis; existing buildings calibration methodologies; building performance simulation; sensitivity analysis; uncertainty analysis; existing buildings
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Fabrizio, E.; Monetti, V. Methodologies and Advancements in the Calibration of Building Energy Models. Energies 2015, 8, 2548-2574.

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