Title :
Total and Peak Energy Consumption Minimization of Building HVAC Systems Using Model Predictive Control
Author :
Maasoumy, Mehdi ; Sangiovanni-Vincentelli, Alberto
Author_Institution :
Dept. of Mech. Eng., Univ. of California, Berkeley, CA, USA
Abstract :
This article addresses the challenge of realizing the building automation and control system using a distributed network of embedded computers. A specification methodology and design space exploration framework are proposed to raise the level of abstraction at which building control systems are designed, to reduce design effort, and to lower implementation cost.
Keywords :
HVAC; building management systems; control system synthesis; predictive control; building HVAC systems; building automation; building control systems; design space exploration framework; distributed network; embedded computers; model predictive control; peak energy consumption minimization; specification methodology; Atmospheric modeling; Energy consumption; Green buildings; Heating; Mathematical model; Temperature distribution; Temperature measurement; Energy efficient buildings; Model calibration; Model-based control design; Optimal control;
Journal_Title :
Design & Test of Computers, IEEE
DOI :
10.1109/MDT.2012.2200871