Title :
A framework for peak electricity demand control utilizing constraint programing method in smart building
Author :
Xiaohui Peng ; Bessho, M. ; Koshizuka, N. ; Sakamura, K.
Author_Institution :
Grad. Sch. of Interdiscipl. Inf. Studies, Univ. of Tokyo, Tokyo, Japan
Abstract :
Reducing large electricity consumption is a primary concern for researchers and practitioners in smart buildings. Peak electricity demand is the result of temporarily correlated energy demand surges caused by uncoordinated operation of subsystems such as air-conditioning, heating, ventilating and so on. It might cause severe issues such as service disruption and high cost of energy production and distribution. Many buildings applied various energy saving policies with building automation system to control the behaviors of smart devices to save energy. In this paper, we propose a framework for peak electricity demand control based on constraint programing technology in smart building.
Keywords :
HVAC; building management systems; constraint handling; energy conservation; power consumption; power engineering computing; HVAC; building automation system; constraint programing method; electricity consumption reduction; energy saving policy; peak electricity demand control; smart building; smart device behavior control; Control systems; Electricity; Energy management; Sensors; Servers; Smart buildings; constraint programing; energy saving policy; peak electricity demand control; smart building;
Conference_Titel :
Consumer Electronics (GCCE), 2014 IEEE 3rd Global Conference on
Conference_Location :
Tokyo
DOI :
10.1109/GCCE.2014.7031211