Modeling dynamic of heating spaces and designing heating controllers

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Table of contents

1. State of art 
1.1. Introduction
1.2. Review on the different architecture of SBEMS
1.3. The outcome of SBEMS architecture review
1.4. Review on different smart lighting systems
1.5. The outcome of the nowadays lighting system review
1.6. Review on different heating system’s control design
1.6.1. Modeling dynamic of heating spaces and designing heating controllers
1.6.2. The outcome of reviews on heating system’s control design
1.6.3. Presence estimator
1.7. Conclusion
2. The architecture of a multi-layer system for SBEMS 
2.1. Introduction
2.2. The multi-layer architecture design of campus SENART
2.3. Implementation of proposed multi-layer architecture
2.3.1. Physical layer’s implementation
2.3.2. Agent layer’s implementation
2.3.3. Control layer’s implementation
2.3.4. Supervision layer’s implementation
2.4. User awareness facilities and relating results provided by SBEMS
2.5. Conclusion
3. Smart lighting system design for SBEMS 
3.1. Introduction
3.2. The proposed lighting system technology and relating architecture in the SBEMS
3.3. The proposed method for designing lighting elements placement architecture
3.4. Case study: Example of LE placement design simulation and first evaluation
3.5. Validations, results, and evaluation
3.5.1. Validation of simulation
3.5.2. Results, validation, and evaluation of the proposed lighting system on building A of UPEC SENART campus
The energy efficiency of the proposed lighting system
3.6. Conclusion
4. Adaptive heating controller for SBEMS
4.1. Introduction
4.2. Identification of heating dynamics of building living space
4.2.1. Introduction
4.2.2. Machine-Learning based identification of the heating dynamics of the living-space
4.2.3. Implementation of the proposed living-spaces’ dynamic heating model
4.2.4. Experimentation and results
Experimental Results
4.2.5. Conclusion on the identification of heating dynamics of building living space
4.3. Fuzzy heating controller design
4.3.1. Introduction
4.3.2. Fuzzy controller for facing control of living-spaces heating dynamics
4.3.3. Control strategy
4.3.4. Simulation, and evaluation of the fuzzy controller in comparison with On/Off control strategy 104 Experimental simulation in the theoretical classroom with a medium size (living-spaces of building A1)
Experimental simulation in the theoretical classroom with a medium size (living-spaces of building A2)
Experimental simulation of the practical classroom with a large size (living-spaces of building A1)
Experimental simulation of the practical classroom with a large size (living-spaces of building A2)
Experimental simulation office room with a small size (living-spaces of building A1) 112
Experimental simulation office room with a small size (living-spaces of building A2) 113
4.3.5. Results and validation:
4.4. Presence estimator
4.4.1. Introduction to presence estimator
4.4.2. The proposed Virtual presence estimator sensor based on the fuzzy inference
4.4.3. Implementation of the proposed presence estimator in building A of SENART campus
4.4.4. experimentation, result, and evaluation of virtual presence estimator
4.5. The architecture and evaluation of SBEMS regarding the heating fuzzy controller with presence estimator
4.6. Simulation, and evaluation of the fuzzy controller with virtual presence estimator as an occupation counter
4.7. Conclusion
General conclusion and perspective