DocumentCode :
183974
Title :
Model predictive control approach to online computation of demand-side flexibility of commercial buildings HVAC systems for Supply Following
Author :
Maasoumy, Mehdi ; Rosenberg, Catherine ; Sangiovanni-Vincentelli, A. ; Callaway, Duncan S.
Author_Institution :
Dept. of Mech. Eng., Univ. of California, Berkeley, Berkeley, CA, USA
fYear :
2014
fDate :
4-6 June 2014
Firstpage :
1082
Lastpage :
1089
Abstract :
Commercial buildings have inherent flexibility in how their HVAC systems consume electricity. We investigate how to take advantage of this flexibility. We first propose a means to define and quantify the flexibility of a commercial building. We then propose a contractual framework that could be used by the building operator and the utility to declare flexibility on the one side and reward structure on the other side. We then design a control mechanism for the building to decide its flexibility for the next contractual period to maximize the reward, given the contractual framework. Finally, we perform at-scale experiments to demonstrate the feasibility of the proposed algorithm.
Keywords :
HVAC; buildings (structures); control system synthesis; power consumption; predictive control; HVAC systems; commercial buildings; contractual framework; control mechanism design; demand-side flexibility; electricity consumption; model predictive control approach; online computation; reward structure; supply following; Buildings; Contracts; Cooling; Electricity; Heating; Optimal control; Power demand; Building and facility automation; Power systems; Predictive control for nonlinear systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
ISSN :
0743-1619
Print_ISBN :
978-1-4799-3272-6
Type :
conf
DOI :
10.1109/ACC.2014.6858874
Filename :
6858874
Link To Document :
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