DocumentCode :
115996
Title :
An experimental investigation of occupancy-based energy-efficient control of commercial building indoor climate
Author :
Brooks, Jonathan ; Goyal, Siddharth ; Subramany, Rahul ; Lin, Yashen ; Middelkoop, Timothy ; Arpan, Laura ; Carloni, Luca ; Barooah, Prabir
Author_Institution :
MAE Dept., Univ. of Florida, Gainesville, FL, USA
fYear :
2014
fDate :
15-17 Dec. 2014
Firstpage :
5680
Lastpage :
5685
Abstract :
We present results from a week-long experimental evaluation of a scalable control algorithm for a commercial building heating, ventilation, and air-conditioning (HVAC) system. The experiments showed that the controller resulted in 37% energy savings without sacrificing indoor climate. In contrast to prior work that reports energy savings without a careful measure of the effect on indoor climate, we verify that the controller achieves the energy efficiency improvements without any adverse effect on the indoor climate compared to the building´s baseline controller. This is established from measurements of a host of environmental variables and analysis of before-after occupant survey results. We present a complete system to retrofit existing buildings including the control algorithm and the supporting execution platform which includes the deployment of a wireless sensor network. Results show that there is a large variation in energy savings from zone to zone, which indicates that estimating energy savings potential of novel HVAC control systems is not trivial even from experiments-something that prior work with uniformly positive messages did not emphasize.
Keywords :
HVAC; predictive control; wireless sensor networks; HVAC control systems; commercial building heating, ventilation, and air-conditioning system; commercial building indoor climate; environmental variables; model predictive control; occupancy-based energy-efficient control; scalable control algorithm; wireless sensor network deployment; Buildings; Heating; Humidity; Temperature measurement; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
Type :
conf
DOI :
10.1109/CDC.2014.7040278
Filename :
7040278
Link To Document :
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