High-resolution data-driven models of Daylight Redirection Components

  • Lars Oliver Grobe Competence Center Envelopes and Solar Energy, Lucerne University of Applied Sciences and Arts
  • Stephen Wittkopf Competence Center Envelopes and Solar Energy, Lucerne University of Applied Sciences and Arts
  • Zehra Tugce Kazanasmaz Department of Architecture, Faculty of Architecture, Izmir Institute of Technology


Daylight Redirecting Components (DRCs) guide daylight to zones with insufficient daylight exposure. They reduce energy demand for lighting, heating and cooling, and improve visual and thermal comfort. The data-driven model in Radiance is a means to model DRCs in daylight simulation. Rather than internal optical mechanisms, their resulting Bidirectional Scattering Distribution Function (BSDF) is replicated.

We present models of two DRCs that are generated from measurements. The impact of the following three necessary steps in the generation of data-driven models from measured BSDF shall be evaluated:

1) interpolation between measurements at sparse sets of incident directions; 2) extrapolation for directions that cannot be measured; 3) application of a directional basis of given directional resolution.

It is shown that data-driven models can provide a realistic representation of both DRCs. The sensitivity to effects from interpolation differs for the two DRCs due to the varying complexity of their BSDFs. Due to the irregularity of the measured BSDFs, extrapolation is not reliable and fails for both tested DRCs. Different measurement and modeling protocols should be applied to different class systems, rather than aiming at a common low-resolution discretization.


Appelfeld, D., McNeil, A., & Svendsen, S. (2012). An hourly based performance comparison of an integrated micro-structural

perforated shading screen with standard shading systems. Energy and Buldings, 50, 166-176.

Apian-Bennewitz, P. (2010). New scanning gonio-photometer for extended BRTF measurements. In Proceedings SPIE, 7792

Reflection, Scattering, and Diffraction from Surfaces II, 77920O-77920O-20. Brussels: International Society for Optics and


de Boer, J. (2005). Modelling indoor illumination by CFS based on bidirectional photometric data. Technical report, International

Energy Agency Task 31.

Gago, EJ., Muneer, T., Knez, M., Köster, H. (2015). Natural light controls and guides in buildings. Energy saving for electrical

lighting, reduction of cooling load. Renewable and Sustainable Energy Reviews, 41, 1–13.

Greenup, P., Edmonds, I., and Compagnon, R. (2000). Radiance algorithm to simulate laser-cut panel light-redirecting elements.

Lighting Research and Technology, 32, 49–54.

Grobe, LO., Müllner, K., & Meyer, B. (2015). A novel data-driven BSDF model to assess the performance of a daylight redirecting

ceiling panel at the Calgary Airport Expansion. In Proceedings PLDC 5th Global Lighting Design Convention, 240-243. Rome:


Grobe, LO. (2017). Computational combination of the optical properties of fenestration layers at high directional resolution.

Hoffmann, S., Lee, ES., McNeil, A., Fernandes, L., Vidanovic, D., & Thanachareonkit, A. (2016). Balancing daylight, glare, and

energy-efficiency goals: An evaluation of exterior coplanar shading systems using complex fenestration modeling tools.

Energy and Buildings, 112, 279-298.

Kazanasmaz, T., Grobe, L.O., Bauer, C., Krehel, M., & Wittkopf, S. (2016). Three approaches to optimize optical properties and size of

a South-facing window for spatial Daylight Autonomy. Building and Environment, 102, 243-256.

Kämpf, JH. and Scartezzini, JL. (2011). Ray-tracing simulation of complex fenestration systems based on digitally processed BTDF

data. In Proceedings CISBAT 2011, 349-354.

Klems, JH. (2013). Complex Fenestration Calculation Module. In EnergyPlus Engineering Reference. Ernest Orlando Lawrence

Berkeley National Laboratory.

Krehel, M., Grobe, L.O., & Wittkopf, S. (2017). A hybrid data-driven BSDF model to predict light transmission trough complex

fenestration systems including high incident directions. Journal of Facade Design and Engineering, vol 5, no 2.

Kuhn, T. E., Herkel, S., Frontini, F., Strachan, P., and Kokogiannakis, G. (2011). Solar control: A general method for modelling of

solar gains through complex facades in building simulation programs. Energy and Buildings, 43, 19-27.

Laouadi, A. and Parekh, A. (2007). Optical models of complex fenestration systems. Lighting Research and Technology, 39, 123-145. Maamari, F., Andersen, M., de Boer, J., Carroll, W. L., Dumortier, D., and Greenup, P. (2006). Experimental validation of simulation

methods for bi-directional transmission properties at the daylighting performance level. Energy and Buildings, 38, 878-889. McNeil, A. and Lee, E. (2013). A validation of the Radiance three-phase simulation method for modelling annual daylight

performance of optically complex fenestration systems. Journal of Building Performance Simulation, 6, 24-37.

McNeil, A., Lee, ES., and Jonsson, JC. (2017). Daylight performance of a mi- crostructured prismatic window film in deep open plan

offices. Building and Environment, 113, 280–297.

Mohanty, L., Yang, X., and Wittkopf, S. (2012). Optical scatter measurement and analysis of innovative daylight scattering materials.

Solar Energy, 86, 505-519.

Nair, MG., Ramamurthy, K., and Ganesan, AR. (2014). Classification of indoor daylight enhancement systems. Lighting Research and

Technology, 46, 245–267.

Noback, A., Grobe, LO., and Wittkopf, S. (2016). Accordance of light scattering from design and de-facto variants of a daylight

redirecting component. Buildings, 6, 30.

Ruck, N., Aschehoug, Ø., Aydinli, S., Christoffersen, J., Courret, G., Edmonds, I., Jakobiak, R., Kischkoweit-Lopin, M., Klinger, M.,

Lee, E., Michel, L., Scartezzini, JL., and Selkowitz, S. (2000). Daylight in Buildings - A source-book on daylighting systems and components. Lawrence Berkeley National Laboratory.

Schregle, R., Bauer, C., Grobe, LO., and Wittkopf, S. (2015). EvalDRC: A tool for annual characterisation of daylight redirecting components with photon mapping. In Proceedings CISBAT 2015 Future Buildings and Districts Sustainability from Nano to Urban Scale, 217-222.

Schregle, R., Grobe, LO., and Wittkopf, S. (2016). An out-of-core photon mapping approach to daylight coefficients. Journal of

Building Performance Simulation, 9, 620-632.

Ward, G. and Shakespeare, R. (1998). Rendering with Radiance. Morgan Kaufmann Publishers, 579-580.

Ward, G., Mistrick, R., Lee, E., McNeil, A., and Jonsson, J. (2011). Simulating the daylight performance of complex fenestration

systems using bidirectional scattering distribution functions within Radiance. Leukos, 7, 241-261.

Ward, G., Kurt, M., & Bonneel, N. (2012). A practical framework for sharing and rendering real-world bidirectional scattering distribution functions. Technical report, Lawrence Berkeley National Laboratory.
How to Cite
GROBE, Lars Oliver; WITTKOPF, Stephen; KAZANASMAZ, Zehra Tugce. High-resolution data-driven models of Daylight Redirection Components. Journal of Facade Design and Engineering, [S.l.], v. 5, n. 2, p. 87-100, may 2017. ISSN 2213-3038. Available at: <https://journals.open.tudelft.nl/index.php/jfde/article/view/1743>. Date accessed: 20 july 2019. doi: https://doi.org/10.7480/jfde.2017.2.1743.


daylight simulation, data-driven model, BSDF, Radiance.