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Title: An Open, Cloud-Based Platform for Whole-Building Fault Detection and Diagnostics

Abstract

Small commercial buildings in the U.S. waste an estimated 300 Trillion BTU (approximately $6 billion in energy costs) annually due to faults, but lack cost-effective automated fault detection and diagnosis (AFDD) tools. NREL and GE Global Research are partnering to develop hybrid AFDD algorithms tailored to the unique needs of small commercial buildings (

Authors:
ORCiD logo [1];  [2]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. GE Global Research Center
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:
1476981
Report Number(s):
NREL/PR-5500-71860
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2018 Intelligent Building Operations Workshop, 7 July 2018, West Lafayette, Indiana
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 47 OTHER INSTRUMENTATION; automated fault detection; diagnosis; machine learning; energy modeling; buildings; EnergyPlus; OpenStudio

Citation Formats

Frank, Stephen M, and Nichols, Jason. An Open, Cloud-Based Platform for Whole-Building Fault Detection and Diagnostics. United States: N. p., 2018. Web.
Frank, Stephen M, & Nichols, Jason. An Open, Cloud-Based Platform for Whole-Building Fault Detection and Diagnostics. United States.
Frank, Stephen M, and Nichols, Jason. Thu . "An Open, Cloud-Based Platform for Whole-Building Fault Detection and Diagnostics". United States. https://www.osti.gov/servlets/purl/1476981.
@article{osti_1476981,
title = {An Open, Cloud-Based Platform for Whole-Building Fault Detection and Diagnostics},
author = {Frank, Stephen M and Nichols, Jason},
abstractNote = {Small commercial buildings in the U.S. waste an estimated 300 Trillion BTU (approximately $6 billion in energy costs) annually due to faults, but lack cost-effective automated fault detection and diagnosis (AFDD) tools. NREL and GE Global Research are partnering to develop hybrid AFDD algorithms tailored to the unique needs of small commercial buildings (},
doi = {},
url = {https://www.osti.gov/biblio/1476981}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {10}
}

Conference:
Other availability
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