Evaluation of a multi-stage guided search approach for the calibration of building energy simulation models

“…In Panjapornpon (2007a, 2007b) and Cipriano et al (2015) similar calibration procedures are described employing regional SA to select the model parameters that can be identified through iterative Monte Carlo filtering. Statistical tests are used to compare empirical density distributions of parameter samples giving acceptable and unacceptable model realizations, depending on the values of Coefficient of Variation of the Root Mean Squared Error and the Normalized Mean Bias Error, in order to assess the statistical significance of each factor in improving the goodness of the fit with the target data.…”

Section: Introductionmentioning

confidence: 99%

“…The chosen focus is an airflow network model representing ventilation and infiltration in an experimental facility used for calibration and validation exercises in the context of the IEA (International Energy Agency) EBC (Energy Building and Communities) Annex 58 (IEA EBC Annex 58 2011-2015. Among several specific phenomena such as air stratification and convective heat transfer which contribute to the overall model uncertainty and behaviour, a previous calibration study (Strachan et al 2015a) on one of the buildings in the experimental facility showed that accurate modelling of ventilation and infiltration had a significant impact in improving predictions compared to a simplified approach using average constant flow rates to represent infiltration.…”

Section: Introductionmentioning

confidence: 99%

“…Besides parameter screening, in Panjapornpon (2007a, 2007b), Cipriano et al (2015) and Sun and Reddy (2006), different SA methods are used to solve identifiability problems. In Panjapornpon (2007a, 2007b) and Cipriano et al (2015) similar calibration procedures are described employing regional SA to select the model parameters that can be identified through iterative Monte Carlo filtering.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of an airflow network model by sensitivity analysis: parameter screening, fixing, prioritizing and mapping

Monari

Strachan

2016

Journal of Building Performance Simulation

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Due to the over-parameterized models in detailed thermal simulation programs, modellers undertaking validation or calibration studies, where the model output is compared against field measurements, face difficulties in determining those parameters which are primarily responsible for observed differences. Where sensitivity studies are undertaken, the Morris method is commonly applied to identify the most influential parameters. They are often accompanied by uncertainty analysis using Monte Carlo simulations to generate confidence bounds around the predictions. This paper sets out a more rigorous approach to sensitivity analysis (SA) based on a global SA method with three stages: factor screening, factor prioritizing and fixing, and factor mapping. The method is applied to a detailed empirical validation data set obtained within IEA ECB Annex 58, with the focus of the study on the airflow network, a simulation program sub-model which is subject to large uncertainties in its inputs.

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“…The BEMs that we are trying to produce should be able to capture the heat dynamics of a building [4], as is indicated by the american society of heating, refrigerating, and air-conditioning engineers (ASHRAE) Handbook-Fundamentals 2013 [5].…”

Section: Introductionmentioning

confidence: 99%

Towards a New Generation of Building Envelope Calibration

Bandera

Ruiz

2017

Energies

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Building energy performance (BEP) is an ongoing point of reflection among researchers and practitioners. The importance of buildings as one of the largest activators in climate change mitigation was illustrated recently at the United Nations Framework Convention on Climate Change 21st Conference of the Parties (COP21). Continuous technological improvements make it necessary to revise the methodology for energy calculations in buildings, as has recently happened with the new international standard ISO 52016-1 on Energy Performance of Buildings. In this area, there is a growing need for advanced tools like building energy models (BEMs). BEMs should play an important role in this process, but until now there has no been international consensus on how these models should reconcile the gap between measurement and simulated data in order to make them more reliable and affordable. Our proposal is a new generation of models that reconcile the traditional data-driven (inverse) modelling and law-driven (forward) modelling in a single type that we have called law-data-driven models. This achievement has greatly simplified past methodologies, and is a step forward in the search for a standard in the process of calibrating a building energy model.

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Evaluation of a multi-stage guided search approach for the calibration of building energy simulation models

Cited by 48 publications

References 13 publications

Thermal performance of a window shutter containing PCM: Numerical validation and experimental analysis

Thermal performance of a window shutter containing PCM: Numerical validation and experimental analysis

Characterization of an airflow network model by sensitivity analysis: parameter screening, fixing, prioritizing and mapping

Towards a New Generation of Building Envelope Calibration

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