An integrated control system for optimizing the energy consumption and user comfort in buildings
In this paper, an HVAC system consisting of a thermal and ventilation subsystem and a lighting subsystem is analyzed in detail. The objective of this work is the development of an integrated control system to optimize energy consumption and user comfort. The entire control system is described in det...
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| Published in | 2002 IEEE International Symposium on Computer Aided Control System Design pp. 127 - 132 |
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| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
2002
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| Subjects | |
| Online Access | Get full text |
| ISBN | 078037388X 9780780373884 |
| DOI | 10.1109/CACSD.2002.1036941 |
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| Abstract | In this paper, an HVAC system consisting of a thermal and ventilation subsystem and a lighting subsystem is analyzed in detail. The objective of this work is the development of an integrated control system to optimize energy consumption and user comfort. The entire control system is described in detail. The cross coupling, which links the thermal system with the lighting system, is specified. This allows a separation of the control algorithms according to the requirements. The core objective is the design of several intelligent thermal control algorithms. An algorithm using a fuzzy controller and an adapting power profile, a controller which uses the same algorithm as mentioned before but which optimizes the fuzzy controller parameters using genetic algorithms, and a generalized predictive controller (GPC) are presented. Different aspects of the control strategies, the diverse specifications of the algorithms and any restrictions concerning the implementation are listed. Simulation results of different controllers are presented and discussed. |
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| AbstractList | In this paper, an HVAC system consisting of a thermal and ventilation subsystem and a lighting subsystem is analyzed in detail. The objective of this work is the development of an integrated control system to optimize energy consumption and user comfort. The entire control system is described in detail. The cross coupling, which links the thermal system with the lighting system, is specified. This allows a separation of the control algorithms according to the requirements. The core objective is the design of several intelligent thermal control algorithms. An algorithm using a fuzzy controller and an adapting power profile, a controller which uses the same algorithm as mentioned before but which optimizes the fuzzy controller parameters using genetic algorithms, and a generalized predictive controller (GPC) are presented. Different aspects of the control strategies, the diverse specifications of the algorithms and any restrictions concerning the implementation are listed. Simulation results of different controllers are presented and discussed. |
| Author | Jorgl, H.P. Pargfrieder, J. |
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| Snippet | In this paper, an HVAC system consisting of a thermal and ventilation subsystem and a lighting subsystem is analyzed in detail. The objective of this work is... |
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| StartPage | 127 |
| SubjectTerms | Centralized control Control systems Energy consumption Intelligent control Lighting control Optimal control Temperature control Testing Thermal variables control Ventilation |
| Title | An integrated control system for optimizing the energy consumption and user comfort in buildings |
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