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Solar Incidence Operators Definition, generation and evaluation
6.1. SIOP – Solar Incidence Operator
6.2. SIOP evaluation and incidence profiles
Introduction
1.1. Motivation
1.2. Research question and objective
1.3. Overview of thesis structure
1.4. Overview of implemented modules
1.5. Scope
Main methodological approaches
2.1. Physical optics approach
2.2. Fallback approach – generic models
2.3. Solar incidence operators – interface to other methods
2.4. Validation
2.5. Separation of the optical and thermal domain
2.6. Implementation
2.7. Programming language
State-of-the-art analysis
3.1. General model and definitions
3.2. Modern approaches – BSDF and DSHGC
3.3. Limitations of BSDF and DSHGC approaches
3.4. Approaches of international standards
3.5. Limitations of approaches in international standards
Light, sun and optics – applied principles, models and methods
4.1. A brief history of light
4.2. Nature of light
4.3. Light-matter interaction overview
4.4. Global radiation
4.5. Solar position algorithm
4.6. Complex-valued index of refraction functions
4.7. Generalized Fresnel coefficients
4.8. Stokes vectors
4.9. Müller matrix operations
4.10. Roughness model and microfacet theory
4.11. Subsurface scattering
4.12. Inversion method to derive complex-valued refractive index functions of transparent materials
4.13. Inversion method for a generic model of diffusely reflecting, opaque surfaces
Additionally applied methods
5.1. Monte Carlo method
5.2. Simulated annealing
5.3. A Fibonacci hemisphere
Solar Incidence Operators Definition, generation and evaluation
6.1. SIOP – Solar Incidence Operator
6.2. SIOP evaluation and incidence profiles
A full spectral polarisation Monte-Carlo Raytracer
7.1. Tracing a ray – overview
7.2. Rays and light particles
7.3. 3D model and geometry modules
7.4. Collision detection
7.5. Periodic planes
7.6. Smooth shading
7.7. Material-Interface class
7.8. Scattering classes (TLightSurfaceInteractionStokes)
7.9. The TLSISroughPol scattering class
7.10. Directional scanning process
7.11. Rendering and backward raytracing
Full system empirical validation
8.1. PyroScanner measurement method
8.2. Results
Application case
9.1. Target object
9.2. Model and workflow
9.3. Evaluation with temporally highly resolved data
9.4. Evaluation of energetic performance
9.5. Determination of effective performance parameters
Discussion
10.1. State-of-the-art methods and novel method
10.2. Physical optics integration
10.3. Required material data and inversion approaches
10.4. Results of validation steps
10.5. Limitations
10.6. Integration into current frameworks
10.7. Discussion with respect to research questions
Conclusion
11.1. Summary
11.2. Key findings
11.3. Further directions
References
