Application of a Transition Graph-Based Predictive Algorithm to a Solar Air Conditioning Plant

This brief presents the development of a transition graph-based predictive algorithm and its application to a solar air conditioning plant. The process considered is a hybrid system of variable configuration subject to disturbances in its main energy source, namely solar radiation. The predictive al...

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Veröffentlicht in:IEEE transactions on control systems technology Jg. 18; H. 5; S. 1162 - 1171
Hauptverfasser: Zambrano, D, Garcia-Gabin, W, Camacho, E F
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.09.2010
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1063-6536, 1558-0865, 1558-0865
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Abstract This brief presents the development of a transition graph-based predictive algorithm and its application to a solar air conditioning plant. The process considered is a hybrid system of variable configuration subject to disturbances in its main energy source, namely solar radiation. The predictive algorithm switches between the operating modes of the plant on the basis of minimizing the performance cost function associated to each operating mode and the switching cost function associated to the transition between operating modes. The cost functions depend on the predicted states of the plant. A transition graph is used to reduce the computational cost of the optimization problem; the graph is plotted using the concept of reachability. The main objective of the predictive algorithm is to find the optimal solution to the configuration problem and the optimal control signal of the plant throughout the day. Experimental results show that solar energy was used during most of the test and cooling demand was satisfied.
AbstractList This brief presents the development of a transition graph-based predictive algorithm and its application to a solar air conditioning plant. The process considered is a hybrid system of variable configuration subject to disturbances in its main energy source, namely solar radiation. The predictive algorithm switches between the operating modes of the plant on the basis of minimizing the performance cost function associated to each operating mode and the switching cost function associated to the transition between operating modes. The cost functions depend on the predicted states of the plant. A transition graph is used to reduce the computational cost of the optimization problem; the graph is plotted using the concept of reachability. The main objective of the predictive algorithm is to find the optimal solution to the configuration problem and the optimal control signal of the plant throughout the day. Experimental results show that solar energy was used during most of the test and cooling demand was satisfied.
Author Camacho, E F
Garcia-Gabin, W
Zambrano, D
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  surname: Garcia-Gabin
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Issue 5
Keywords Air conditioning
Multimodel control
Cooling
Switching function
Air conditioning equipment
Operating mode
solar cooling
Minimization
Optimization
Reachability
Hybrid system
Energy source
Hybrid configuration
graphs
switched systems
Optimal control
Solar energy
Solar radiation
Predictive control
Mathematical programming
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Snippet This brief presents the development of a transition graph-based predictive algorithm and its application to a solar air conditioning plant. The process...
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StartPage 1162
SubjectTerms Air conditioning
Air conditioning. Ventilation
Algorithms
Applied sciences
Automatic control
Computational efficiency
Computer science; control theory; systems
Control theory. Systems
Cooling
Cost function
Demand
Energy
Energy. Thermal use of fuels
Exact sciences and technology
Graphs
Heating, air conditioning and ventilation
Information technology
Informationsteknik
Modelling and identification
Optimal control
Optimization
Prediction algorithms
Predictive control
Predictive models
Reglerteknik
Solar cooling
Solar energy
Solar radiation
Studies
switched systems
Switches
Systems engineering
Systemteknik
TECHNOLOGY
TEKNIKVETENSKAP
Testing
Title Application of a Transition Graph-Based Predictive Algorithm to a Solar Air Conditioning Plant
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