Validation of Calibrated Energy Models: Common Errors

Germán Ramos Ruiz and Carlos Fernández Bandera
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Germán Ramos Ruiz: School of Architecture, University of Navarra, 31009 Pamplona, Spain
Carlos Fernández Bandera: School of Architecture, University of Navarra, 31009 Pamplona, Spain

Energies, 2017, vol. 10, issue 10, 1-19

Abstract: Nowadays, there is growing interest in all the smart technologies that provide us with information and knowledge about the human environment. In the energy field, thanks to the amount of data received from smart meters and devices and the progress made in both energy software and computers, the quality of energy models is gradually improving and, hence, also the suitability of Energy Conservation Measures (ECMs). For this reason, the measurement of the accuracy of building energy models is an important task, because once the model is validated through a calibration procedure, it can be used, for example, to apply and study different strategies to reduce its energy consumption in maintaining human comfort. There are several agencies that have developed guidelines and methodologies to establish a measure of the accuracy of these models, and the most widely recognized are: ASHRAE Guideline 14-2014, the International Performance Measurement and Verification Protocol (IPMVP) and the Federal Energy Management Program (FEMP). This article intends to shed light on these validation measurements (uncertainty indices) by focusing on the typical mistakes made, as these errors could produce a false belief that the models used are calibrated.

Keywords: calibrated model validation; calibration process; building energy models; uncertainty analysis; uncertainty indices; typical validation errors (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (64)

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