臺灣博碩士論文加值系統

Daylight increases solar heat gain and causes visual discomfort for occupants, especially when highly glazed office buildings are installed to take advantage of maximum free light and take a stunning view. Therefore, a requirement for designers and architects is how to flexibly design building facades to not only reduce the energy use of buildings while maintaining the level of daylight inside the buildings and bring occupants comfortable. Nowadays, several innovative solutions exist to address the challenge of building a sustainable environment, one of which is the design of automatic shading systems that aim to build sustainable environments through constructing adaptive building façades that adapt to changing climatic conditions. In order to achieve the desired results for facade controls and the annual daylight performance evaluation of the adaptive facade shading system, it is necessary to calculate and analyze data through simulation. Nevertheless, this is a complicated and elaborate job because it requires a lot of technical expertise of construction systems, materials, and computer pieces of equipment requiring constant adjustment of models to test until the goal is reached.
As a result, the objective of this thesis is to provide a new framework for annual daylight performance simulation of adaptive facade shading systems based on Ladybug and Honeybee plugins together with Radiance and Daysim that enables accurate simulation of dynamic system and provides the illuminance files for calculating daylight metrics and glare levels. A case study is conducted in an office room in six different states of adaptive facade shading devices and simultaneously control by algorithms based on DGPs glare evaluation and sun position in Taipei Taiwan's climate condition.

ACKNOWLEDGEMENTS ii
ABSTRACT iii
TABLE OF CONTENTS iv
GLOSSARY OF TERMS AND ABBREVIATIONS vii
LIST OF TABLES viii
LIST OF FIGURES ix
1. INTRODUCTION 1
1.1 Background 1
1.2 Problem statements 4
1.3 Research objectives 6
1.4 Scope and limitation 7
1.5 Thesis research structure 7
2. LITERATURE REVIEW 9
2.1 Daylighting 9
2.2 Shading devices 11
2.2.1 Kinetic facade 13
2.2.2 Biomimicry 14
2.3 Adaptive facade model in reality 16
2.4 Daylight simulation - Graphical Simulation Software 21
2.5 Daylight metrics 22
2.5.1 Daylight autonomy (DA) 22
2.5.2 Continuous Daylight Autonomy (cDA) 23
2.5.3 Spatial Daylight Autonomy (sDA) 24
2.5.4 Daylight Glare Probability (DGP) 25
2.6 Setting shading control variables 26
2.6.1 Sun position 26
2.6.2 Sensor point 27
2.6.3 Control in reality 28
3. METHODOLOGY 30
3.1 Proposed shading systems design 30
3.2 Research Framework 33
3.3 Daylight simulation by Ladybug and Honeybee 35
3.4 Vertical and horizontal shadow angle calculation 38
3.5 Multi-states control optimization 41
4. CASE STUDY OF ADAPTIVE FACADE SIMULATION 53
4.1 Case descriptions 53
4.2 Parametric design by Ladybug and Honeybee 57
4.3 Simulation process 60
4.4 Calculate DGPs, sDA, cDA and average cDA 65
4.5 Simulation results 66
4.5.1 Daylighting availability evaluation of biomimetic facade 66
4.5.2 Daylighting availability evaluation of kinetic façade 68
4.5.3 Glare level evaluation of biomimetic facade 70
4.5.4 Glare level evaluation of kinetic facade 73
4.5.5 Summary 79
4.5.6 Discussion 80
5. CONCLUSION AND FUTURE WORK 82
5.1 Conclusion 82
5.2 Future work 83
REFERENCES 84

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