DocumentCode :
3164231
Title :
HVAC control using infinite-horizon economic MPC
Author :
Mendoza-Serrano, David I. ; Chmielewski, Daniel J.
Author_Institution :
Dept. of Chem. & Biol. Eng., Illinois Inst. of Technol., Chicago, IL, USA
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
6963
Lastpage :
6968
Abstract :
Energy consumption by Heating Ventilation and Air Conditioning (HVAC) systems is usually heaviest when electricity prices are at their highest. The method of Economic Model Predictive Control (EMPC) can be used in conjunction with Thermal Energy Storage (TES) to time-shift power consumption away from periods of high demand to periods of low energy cost. In addition to enormous computational costs, implementation of such algorithms can result in unexpected and sometimes pathological closed-loop behavior, including inventory creep and bang-bang actuation. This paper will present an infinite-horizon formulation of the EMPC problem. While the design of this controller is achieved by a fairly simple convex optimization problem, it will be shown to alleviate many of the pathological behaviors observed in the finite-horizon case as well as significantly reduce the computational effort required for implementation. The method is illustrated on a simple building example using active TES.
Keywords :
HVAC; bang-bang control; control system synthesis; convex programming; creep; infinite horizon; power consumption; predictive control; thermal energy storage; EMPC problem; HVAC control system; TES; bang-bang actuation; controller design; convex optimization problem; economic model predictive control method; electricity prices; energy consumption; finite-horizon case; heating ventilation and air conditioning systems; infinite-horizon economic MPC; infinite-horizon formulation; inventory creep; pathological closed-loop behavior; thermal energy storage; time-shift power consumption; Electricity; Energy storage; Linear programming; Optimization; Prediction algorithms; Resistance heating; White noise; Control system synthesis; Energy management; Infinite horizon optimal control; Linear matrix inequalities; Model predictive control; Optimization; Thermal variables control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6426071
Filename :
6426071
Link To Document :
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