DocumentCode
231618
Title
Event-based optimization for multi-room HVAC system
Author
Wu Zijian ; Jia Qing-Shan ; Guan Xiaohong
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
fYear
2014
fDate
28-30 July 2014
Firstpage
3927
Lastpage
3932
Abstract
Due to the increasing energy consumptions in buildings, building energy saving has become an important area in recent years. The policy space increases exponentially with respect to the number of rooms in the building, and could be extremely large for practical system. By focusing on policies that take actions only when certain events occur, we formulate the fan coil unit control problem as an event-based optimization, and apply derivative-based local search to approximately solve the problem. Numerical results shows that the event-based optimization (EBO) approach can converge to a local optimum policy.
Keywords
HVAC; building services; coils; energy consumption; fans; optimisation; search problems; EBO approach; building energy consumption; building energy saving; derivative-based local search; event-based optimization; fan coil unit control problem; local optimum policy; multiroom HVAC system; Aerospace electronics; Atmospheric modeling; Buildings; Heating; Humidity; Markov processes; Optimization; Event-based optimization; Markov decision proces; building energy saving;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2014 33rd Chinese
Conference_Location
Nanjing
Type
conf
DOI
10.1109/ChiCC.2014.6895594
Filename
6895594
Link To Document