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

Title: On-line optimization scheme for HVAC demand response

Abstract

A computer-implemented method of optimizing demand-response (DR) of a heating, ventilation, and air-conditioning (HVAC) system of a building, includes determining (30, 31, 32) a value of an objective function F.sub.ij of a HVAC system for each of a plurality of DR strategies j for each of a plurality of weather patterns i that is a weighted sum of an energy cost of the HVAC system and a thermal comfort loss of the HVAC system, assigning (33, 34, 35, 36) a likelihood score L.sub.i,j to each of a selected subset of near-optimal DR strategies j for each weather pattern i, and selecting (37, 38) those near-optimal DR strategies with large overall likelihood scores L.sub.j to create an optimal strategy pool of DR strategies. An optimal strategy pool can be searched (39) in real-time for an optimal DR strategy for a given weather pattern.

Inventors:
; ;
Publication Date:
Research Org.:
Siemens Corporation, Iselin, NJ (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1483372
Patent Number(s):
10,077,915
Application Number:
14/433,860
Assignee:
Siemens Corporation (Iselin, NJ) DOEEE
DOE Contract Number:  
EE0003847
Resource Type:
Patent
Resource Relation:
Patent File Date: 2013 Oct 10
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 97 MATHEMATICS AND COMPUTING

Citation Formats

Lu, Yan, Shen, Ling, and Zhu, Jianmin. On-line optimization scheme for HVAC demand response. United States: N. p., 2018. Web.
Lu, Yan, Shen, Ling, & Zhu, Jianmin. On-line optimization scheme for HVAC demand response. United States.
Lu, Yan, Shen, Ling, and Zhu, Jianmin. Tue . "On-line optimization scheme for HVAC demand response". United States. doi:. https://www.osti.gov/servlets/purl/1483372.
@article{osti_1483372,
title = {On-line optimization scheme for HVAC demand response},
author = {Lu, Yan and Shen, Ling and Zhu, Jianmin},
abstractNote = {A computer-implemented method of optimizing demand-response (DR) of a heating, ventilation, and air-conditioning (HVAC) system of a building, includes determining (30, 31, 32) a value of an objective function F.sub.ij of a HVAC system for each of a plurality of DR strategies j for each of a plurality of weather patterns i that is a weighted sum of an energy cost of the HVAC system and a thermal comfort loss of the HVAC system, assigning (33, 34, 35, 36) a likelihood score L.sub.i,j to each of a selected subset of near-optimal DR strategies j for each weather pattern i, and selecting (37, 38) those near-optimal DR strategies with large overall likelihood scores L.sub.j to create an optimal strategy pool of DR strategies. An optimal strategy pool can be searched (39) in real-time for an optimal DR strategy for a given weather pattern.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Sep 18 00:00:00 EDT 2018},
month = {Tue Sep 18 00:00:00 EDT 2018}
}

Patent:

Save / Share: