Title :
Model predictive control for HVAC systems — A review
Author :
Kwadzogah, Roger ; Mengchu Zhou ; Sisi Li
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
The world faces an energy problem. Oil supply is gradually running out. Its use is polluting the planet with greenhouse gas. Most alternative energy sources also pose some environmental problems. Hence the efficient use of energy must be an integral part of any solution to them. Whenever possible, one must use advanced control engines and technologies to achieve the highest energy efficiency. In Heating Ventilation and Air Conditioning (HVAC) industry, much research has identified a number of energy-saving control methods. Derived from optimal control theory, Model Predictive Control (MPC) is one of them. This paper presents a comprehensive review of its applications to HVAC systems.
Keywords :
HVAC; energy conservation; optimal control; predictive control; HVAC systems; MPC; energy-saving control methods; heating ventilation and air conditioning industry; model predictive control; optimal control theory; Atmospheric modeling; Buildings; Cooling; Heating; Load modeling; Mathematical model; Optimization;
Conference_Titel :
Automation Science and Engineering (CASE), 2013 IEEE International Conference on
Conference_Location :
Madison, WI
DOI :
10.1109/CoASE.2013.6654072