DocumentCode :
605346
Title :
A wireless sensor network approach for the control of a multizone HVAC system
Author :
Sklavounos, D. ; Zervas, Evangelos ; Tsakiridis, O. ; Stonham, J.
Author_Institution :
Dept. of Eng. & Design, Brunel Univ., Uxbridge, UK
fYear :
2013
fDate :
6-8 Feb. 2013
Firstpage :
153
Lastpage :
158
Abstract :
Energy consumption has become a very important case due to the global energy issue. Therefore, there is an increasing demand for efficient energy control in Heat Ventilation and Air Conditioning (HVAC) Systems. An effective method for controlling the heat energy in a multiple room building is the multizone approach, where each room is treated as a single zone and temperature control is applied separately for each zone. In the proposed technique, the multizone approach is adopted along with a Wireless Sensor Network (WSN) of temperature nodes, where each node covers a single zone and communicates its sensed values to adjacent nodes. Each node is responsible for the tuning of a heating source so that a preset zone temperature value is maintained. Moreover, each node utilizes a simple lumped capacity model for its controlling zone and based on the received neighbor temperature values detects possible divergences from the anticipated energy consumption. Simulation results using a simple weather temperature model and Proportional Integral (PI) controllers verify the effectiveness of the proposed method.
Keywords :
HVAC; PI control; building management systems; energy consumption; power control; telecontrol; temperature control; wireless sensor networks; PI controllers; WSN; energy consumption; global energy; heat energy control; heat ventilation and air conditioning systems; heating source; multiple room building; multizone HVAC system control; multizone approach; preset zone temperature value; proportional integral controllers; simple lumped capacity model; simple weather temperature model; temperature control; temperature nodes; wireless sensor network approach; Heat transfer; Heating; Mathematical model; Temperature; Temperature sensors; Wireless sensor networks; CUSUM algorithm; Energy control; HVAC; WSN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power, Energy and Control (ICPEC), 2013 International Conference on
Conference_Location :
Sri Rangalatchum Dindigul
Print_ISBN :
978-1-4673-6027-2
Type :
conf
DOI :
10.1109/ICPEC.2013.6527641
Filename :
6527641
Link To Document :
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