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

Title: Towards a framework for selection of supervisory control for commercial buildings: HVAC system energy efficiency

Abstract

This paper develops and utilizes an optimization based framework to investigate the maximal energy efficiency potentially attainable by HVAC system operation in a non-predictive context. Performance is evaluated relative to the existing state of the art set-point reset strategies. The expected efficiency increase driven by operation constraints relaxations is evaluated.

Authors:
; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1373866
Report Number(s):
PNNL-SA-124310
BT0310000
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: American Control Conference (ACC 2017), May 24-26, 2017, Seattle, Washington, 2925-2930
Country of Publication:
United States
Language:
English

Citation Formats

Ramachandran, Thiagarajan, Kundu, Soumya, Chen, Yan, and Vrabie, Draguna L. Towards a framework for selection of supervisory control for commercial buildings: HVAC system energy efficiency. United States: N. p., 2017. Web. doi:10.23919/ACC.2017.7963395.
Ramachandran, Thiagarajan, Kundu, Soumya, Chen, Yan, & Vrabie, Draguna L. Towards a framework for selection of supervisory control for commercial buildings: HVAC system energy efficiency. United States. doi:10.23919/ACC.2017.7963395.
Ramachandran, Thiagarajan, Kundu, Soumya, Chen, Yan, and Vrabie, Draguna L. Mon . "Towards a framework for selection of supervisory control for commercial buildings: HVAC system energy efficiency". United States. doi:10.23919/ACC.2017.7963395.
@article{osti_1373866,
title = {Towards a framework for selection of supervisory control for commercial buildings: HVAC system energy efficiency},
author = {Ramachandran, Thiagarajan and Kundu, Soumya and Chen, Yan and Vrabie, Draguna L.},
abstractNote = {This paper develops and utilizes an optimization based framework to investigate the maximal energy efficiency potentially attainable by HVAC system operation in a non-predictive context. Performance is evaluated relative to the existing state of the art set-point reset strategies. The expected efficiency increase driven by operation constraints relaxations is evaluated.},
doi = {10.23919/ACC.2017.7963395},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jul 03 00:00:00 EDT 2017},
month = {Mon Jul 03 00:00:00 EDT 2017}
}

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: