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Title: Systems and methods for analyzing building operations sensor data

Abstract

Systems and methods are disclosed for analyzing building sensor information and decomposing the information therein to a more manageable and more useful form. Certain embodiments integrate energy-based and spectral-based analysis methods with parameter sampling and uncertainty/sensitivity analysis to achieve a more comprehensive perspective of building behavior. The results of this analysis may be presented to a user via a plurality of visualizations and/or used to automatically adjust certain building operations. In certain embodiments, advanced spectral techniques, including Koopman-based operations, are employed to discern features from the collected building sensor data.

Inventors:
;
Issue Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1182565
Patent Number(s):
9043163
Application Number:
13/198,387
Assignee:
The Regents of the University of California (Oakland, CA)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
DOE Contract Number:  
AC02-05CH11231
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 97 MATHEMATICS AND COMPUTING

Citation Formats

Mezic, Igor, and Eisenhower, Bryan A. Systems and methods for analyzing building operations sensor data. United States: N. p., 2015. Web.
Mezic, Igor, & Eisenhower, Bryan A. Systems and methods for analyzing building operations sensor data. United States.
Mezic, Igor, and Eisenhower, Bryan A. Tue . "Systems and methods for analyzing building operations sensor data". United States. https://www.osti.gov/servlets/purl/1182565.
@article{osti_1182565,
title = {Systems and methods for analyzing building operations sensor data},
author = {Mezic, Igor and Eisenhower, Bryan A.},
abstractNote = {Systems and methods are disclosed for analyzing building sensor information and decomposing the information therein to a more manageable and more useful form. Certain embodiments integrate energy-based and spectral-based analysis methods with parameter sampling and uncertainty/sensitivity analysis to achieve a more comprehensive perspective of building behavior. The results of this analysis may be presented to a user via a plurality of visualizations and/or used to automatically adjust certain building operations. In certain embodiments, advanced spectral techniques, including Koopman-based operations, are employed to discern features from the collected building sensor data.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {5}
}

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Works referenced in this record:

Spectral balance: a frequency domain framework for analysis of nonlinear dynamical systems
conference, January 2004


Uncertainty and sensitivity decomposition of building energy models
journal, May 2012


Coupled nonlinear dynamical systems: asymptotic behavior and uncertainty propagation
conference, January 2004


Spectral analysis of nonlinear flows
journal, November 2009