Advances in calibration of building energy models to time series data

David Goldwasser, Brian Ball, Amanda Farthing, Stephen Frank, Piljae Im

Research output: Contribution to journalConference articlepeer-review

9 Scopus citations

Abstract

Advanced building analytics and control applications, such as fault detection and diagnostics and model predictive control, benefit from building energy models calibrated to time series data. This paper recommends best practices for aligning EnergyPlus™ model time series output with measured building performance. These include the use of subcalibration procedures to fine-tune envelope, heat transfer, and mechanical system parameters; initialization of zone temperatures to match observed conditions at the beginning of each calibration period; and calculation of calibration metrics across multiple run periods using a new OpenStudio reporting measure.

Original languageEnglish
Pages (from-to)422-429
Number of pages8
JournalASHRAE and IBPSA-USA Building Simulation Conference
StatePublished - 2018
Event2018 ASHRAE/IBPSA-USA Building Simulation Conference: Building Performance Modeling, SimBuild 2018 - Chicago, United States
Duration: Sep 26 2018Sep 28 2018

Funding

This work was authored in part by Alliance for Sustainable Energy, LLC, the manager and operator of the National Renewable Energy Laboratory for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding was provided by the U.S. Department of Energy Building Technologies Program within the Office of Energy Efficiency and Renewable Energy. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes. The authors appreciate the support and guidance of Marina Sofos, U.S. Department of Energy. The authors also thank the team at Oak Ridge National Laboratory's Building Technologies Research and Integration Center who manage the FRP #2 and supplied both the initial EnergyPlus baseline model and the calibration data. This manuscript has been coauthored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with DOE. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

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