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Title: Systems and methods for energy cost optimization in a building system

Abstract

Methods and systems to minimize energy cost in response to time-varying energy prices are presented for a variety of different pricing scenarios. A cascaded model predictive control system is disclosed comprising an inner controller and an outer controller. The inner controller controls power use using a derivative of a temperature setpoint and the outer controller controls temperature via a power setpoint or power deferral. An optimization procedure is used to minimize a cost function within a time horizon subject to temperature constraints, equality constraints, and demand charge constraints. Equality constraints are formulated using system model information and system state information whereas demand charge constraints are formulated using system state information and pricing information. A masking procedure is used to invalidate demand charge constraints for inactive pricing periods including peak, partial-peak, off-peak, critical-peak, and real-time.

Inventors:
;
Issue Date:
Research Org.:
Johnson Controls Technology Company, Holland, MI (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1320888
Patent Number(s):
9436179
Application Number:
13/802,279
Assignee:
Johnson Controls Technology Company (Holland, MI)
Patent Classifications (CPCs):
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02B - CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
DOE Contract Number:  
EE0003982
Resource Type:
Patent
Resource Relation:
Patent File Date: 2013 Mar 13
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; 42 ENGINEERING

Citation Formats

Turney, Robert D., and Wenzel, Michael J. Systems and methods for energy cost optimization in a building system. United States: N. p., 2016. Web.
Turney, Robert D., & Wenzel, Michael J. Systems and methods for energy cost optimization in a building system. United States.
Turney, Robert D., and Wenzel, Michael J. Tue . "Systems and methods for energy cost optimization in a building system". United States. https://www.osti.gov/servlets/purl/1320888.
@article{osti_1320888,
title = {Systems and methods for energy cost optimization in a building system},
author = {Turney, Robert D. and Wenzel, Michael J.},
abstractNote = {Methods and systems to minimize energy cost in response to time-varying energy prices are presented for a variety of different pricing scenarios. A cascaded model predictive control system is disclosed comprising an inner controller and an outer controller. The inner controller controls power use using a derivative of a temperature setpoint and the outer controller controls temperature via a power setpoint or power deferral. An optimization procedure is used to minimize a cost function within a time horizon subject to temperature constraints, equality constraints, and demand charge constraints. Equality constraints are formulated using system model information and system state information whereas demand charge constraints are formulated using system state information and pricing information. A masking procedure is used to invalidate demand charge constraints for inactive pricing periods including peak, partial-peak, off-peak, critical-peak, and real-time.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Sep 06 00:00:00 EDT 2016},
month = {Tue Sep 06 00:00:00 EDT 2016}
}

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