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Optimizing automated shading systems in office buildings by exploring occupant behaviour / vorgelegt von Derbas Ghadeer. Wuppertal, 2022
Content
Introduction
Motivation
Research objectives
Research approaches
Thesis structure
Literature review
Occupant behaviour and building automation
Shading systems
Automated shading and their control
Assessing automated shading performance
Occupant interaction with automated shading system
Perceived control and comfort of automated shading systems
Triggering parameters
Findings based on data collection methods
Findings from laboratory experimental studies
Findings from in-situ monitoring studies
Occupant-centric shading design
Concluding remarks
Current practice of automated shading systems and their behaviour
Introduction
Common practices of shading design and operation
Methods
Case studies analysis
Shading system behaviour
System behaviour: Luxembourg case study
System behaviour: an experimental study
Evaluation of shading control strategies using simplified tools
Simplified tools
Simulation analysis results
Conclusions and lessons learned
Limitation of the study
Optimizing automated shading's design and operation: an experimental study
Introduction
Experimental design and methods
Test facility
Measured parameters and physical data acquisition
Experimental procedure
Controlled indoor environment parameters
Local weather during the experiment
Data analysis and metrics for performance assessment
Shade deployment metrics
Thermal comfort metrics
Visual comfort metrics
Results and discussions
Shading patterns
Thermal comfort results
Visual comfort results
Questionnaire results: adaptive behavioural patterns
Conclusions and recommendations
Limitation of the study
Learning from shading design and utilization: Luxembourg case study
Introduction
Case study description
Building overview
Monitored offices
Shading system design "Double approach"
Methods
Designer interview
Data monitoring
Questionnaire
Simulation-based analysis
Results and discussions
Designer interview
Data monitoring
System behaviour
User behaviour
Regression analysis results
Data mining results
Questionnaire
Simulation-based analysis: daylighting and energy performance
Conclusions and lessons learned
Limitations of the study
Conclusions and future work
Conclusions and recommendations
Research contributions
Future work
Publications
Appendix
Questionnaire: phase 01
Questionnaire: Phase 02
Questionnaire: Phase 03
Miscellaneous
References