He, Zhengjun. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2009. / Includes bibliographical references (leaves 125-129). / Abstracts in English and Chinese. / ABSTRACT --- p.i / ACKNOWLEDGEMENTS --- p.iv / TABLE OF CONTENTS --- p.v / LIST OF FIGURES --- p.vii / LIST OF TABLES --- p.xi / NOMENCLATURE --- p.xii / Chapter Chapter 1 --- INTRODUCTION --- p.1 / Chapter 1.1 --- Issues and problems --- p.2 / Chapter 1.2 --- Objectives --- p.3 / Chapter 1.3 --- Methodology --- p.3 / Chapter 1.4 --- Significance and benefits --- p.5 / Chapter 1.5 --- Organization of the thesis --- p.5 / Chapter Chapter 2 --- BACKGROUND AND LITERATURE --- p.7 / Chapter 2.1 --- Introduction --- p.7 / Chapter 2.2 --- Daylight data measurement --- p.7 / Chapter 2.3 --- Satellite-based models to derive illuminance --- p.9 / Chapter 2.3.1 --- Irradiance derived from satellite pixel values to illuminance (indirect approaches) --- p.9 / Chapter 2.3.1.1 --- Heliosat algorithms --- p.10 / Chapter 2.3.1.2 --- Perez et al. model --- p.20 / Chapter 2.3.1.3 --- Uetani model --- p.24 / Chapter 2.3.1.4 --- Gautier et al. model --- p.25 / Chapter 2.3.1.5 --- Janjai et al. model --- p.27 / Chapter 2.3.1.6 --- Comparison of different models --- p.28 / Chapter 2.3.1.7 --- Irradiance to illuminance using luminous efficacy models --- p.31 / Chapter 2.3.2 --- Satellite pixel values to illuminance (direct approaches) --- p.34 / Chapter 2.4 --- CIE standard skies --- p.37 / Chapter 2.5 --- Sky luminance distribution and sky types prediction using meteorological data --- p.40 / Chapter 2.6 --- Sky types and sky luminance distribution prediction using satellite images --- p.48 / Chapter 2.7 --- The needs for deriving daylight data from satellite images in Subtropical southern China --- p.51 / Chapter 2.8 --- General climate information of Hong Kong --- p.52 / Chapter Chapter 3 --- USING SATELLITE-BASED METHODS TO PREDICT DAYLIGHT ILLUMINANCE --- p.55 / Chapter 3.1 --- Introduction --- p.55 / Chapter 3.2 --- Data --- p.56 / Chapter 3.3 --- Methodology --- p.62 / Chapter 3.3.1 --- Satellite pixel value to cloud index --- p.63 / Chapter 3.3.2 --- Cloud index to global illuminance: indirect approach --- p.69 / Chapter 3.3.2.1 --- Cloud index to global irradiance --- p.69 / Chapter 3.3.2.2 --- Global irradiance to global illuminance --- p.73 / Chapter 3.3.3 --- Cloud index to global illuminance: direct approach --- p.75 / Chapter 3.4 --- Model precision and results --- p.79 / Chapter 3.4.1 --- Irradiance model precision --- p.79 / Chapter 3.4.2 --- Illuminance models precision --- p.80 / Chapter 3.4.3 --- Model performance under different seasons --- p.85 / Chapter 3.5 --- Conclusions --- p.87 / Chapter Chapter 4 --- USING SATELLITE-BASED METHOD TO PREDICT SKY TYPES --- p.89 / Chapter 4.1 --- Introduction --- p.89 / Chapter 4.2 --- Data --- p.90 / Chapter 4.3 --- CIE Standard General Sky --- p.92 / Chapter 4.4 --- Sky type prediction --- p.93 / Chapter 4.4.1 --- Sample data --- p.93 / Chapter 4.4.2 --- Assessment of other approaches --- p.97 / Chapter 4.4.3 --- Formulation of a method to predict sky conditions under subtropical context --- p.101 / Chapter 4.5 --- Model precision and results --- p.105 / Chapter 4.6 --- Conclusions --- p.116 / Chapter Chapter 5 --- CONCLUSION --- p.117 / Chapter 5.1 --- Research summary --- p.117 / Chapter 5.1.1 --- The indirect approach to derive global illuminance --- p.117 / Chapter 5.1.2 --- The direct approach to derive global illuminance --- p.118 / Chapter 5.1.3 --- Sky types prediction --- p.118 / Chapter 5.2 --- Conclusion and discussion --- p.119 / Chapter 5.3 --- Research contributions and limitations --- p.122 / Chapter 5.4 --- Needs for further research --- p.123 / BIBLIOGRAPHY / APPENDIX