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Centralized and non-centralized model predictive control of a multizone building
Nowadays, reduction in energy use has become an important issue by the vast majority of institutions in all the world. Although the energy efficiency of systems and components for heating, ventilating, and air conditioning (HVAC) has improved considerably over recent years, there is still potential for substantial improvements. Consequently, this project deals with an advanced control technique, model predictive control, that can provide significant energy savings in comparison with conventional, non-predictive techniques. Nevertheless, the main goal is to try a comparison between two possible approaches to obtain such building energy control problem: (1) Centralized control, and (2) Distributed control. To accomplish this, mathematical software MATLAB has been used. Also YALMIP, which is a free MATLAB toolbox for rapid prototyping of optimization problem, has been used.
Centralized and non-centralized model predictive control of a multizone building
Nowadays, reduction in energy use has become an important issue by the vast majority of institutions in all the world. Although the energy efficiency of systems and components for heating, ventilating, and air conditioning (HVAC) has improved considerably over recent years, there is still potential for substantial improvements. Consequently, this project deals with an advanced control technique, model predictive control, that can provide significant energy savings in comparison with conventional, non-predictive techniques. Nevertheless, the main goal is to try a comparison between two possible approaches to obtain such building energy control problem: (1) Centralized control, and (2) Distributed control. To accomplish this, mathematical software MATLAB has been used. Also YALMIP, which is a free MATLAB toolbox for rapid prototyping of optimization problem, has been used.
Centralized and non-centralized model predictive control of a multizone building
15.06.2017
Hochschulschrift
Elektronische Ressource
Englisch
DDC:
690
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