skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Advances in Calibration of Building Energy Models to Time Series Data: Preprint

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. In this paper, we present best practices for aligning EnergyPlus (TM) 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.

Authors:
 [1]; ORCiD logo [1];  [1];  [1];  [2]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. Oak Ridge National Laboratory
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office (EE-5B)
OSTI Identifier:
1482495
Report Number(s):
NREL/CP-5500-70865
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2018 ASHRAE Building Performance Analysis Conference and SimBuild, 26-28 September 2018, Chicago, Illinois
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; building; advanced analytics; EnergyPlus; modeling

Citation Formats

Goldwasser, David, Frank, Stephen M, Farthing, Amanda D, Ball, Brian L, and Im, Piljae. Advances in Calibration of Building Energy Models to Time Series Data: Preprint. United States: N. p., 2018. Web.
Goldwasser, David, Frank, Stephen M, Farthing, Amanda D, Ball, Brian L, & Im, Piljae. Advances in Calibration of Building Energy Models to Time Series Data: Preprint. United States.
Goldwasser, David, Frank, Stephen M, Farthing, Amanda D, Ball, Brian L, and Im, Piljae. Mon . "Advances in Calibration of Building Energy Models to Time Series Data: Preprint". United States. doi:. https://www.osti.gov/servlets/purl/1482495.
@article{osti_1482495,
title = {Advances in Calibration of Building Energy Models to Time Series Data: Preprint},
author = {Goldwasser, David and Frank, Stephen M and Farthing, Amanda D and Ball, Brian L and Im, Piljae},
abstractNote = {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. In this paper, we present best practices for aligning EnergyPlus (TM) 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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Nov 12 00:00:00 EST 2018},
month = {Mon Nov 12 00:00:00 EST 2018}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: