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
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