Opportunities and Challenges for Performance Prediction of Dynamic Complex Fenestration Systems (CFS)


  • Giuseppe De Michele Free University of Bolzano/Bozen, Faculty of Science and Technology
  • Roel Loonen Eindhoven University of Technology, Department of the Built Environment
  • Hemshikha Saini Eindhoven University of Technology, Department of the Built Environment
  • Fabio Favoino Politecnico di Torino, TEBE research group, Department of Energy
  • Stefano Avesani Eurac Research, Institute for Renewable Energy
  • Luca Papaiz Glass Advisor
  • Andrea Gasparella Free University of Bolzano/Bozen, Faculty of Science and Technology





Complex fenestration systems, building performance simulation, bi-directional scattering distribution functions, reflective lamella, modeling complexity


This article presents an overview of possibilities and points of attention for modelling the performance of dynamic CFS in building performance simulation software. Following a detailed analysis of the unique requirements that are associated with modelling of CFS, a comparative study of the capabilities in different software implementations is presented. In addition, we present on overview of state-of-the-art approaches to obtain the necessary Bi-directional Scattering Distribution Functions (BSDF), involving experimental characterisation, databases, and component-level ray-tracing approaches. The second part of the paper provides a detailed discussion of a case study of a high reflective lamella system. This case study complements the review with hands-on information from a practical example and highlights the importance of developing models at the right level of complexity, taking into account the type of questions that the simulation intends to answer and the required accuracy level to do so.

How to Cite

De Michele, G., Loonen, R., Saini, H., Favoino, F., Avesani, S., Papaiz, L., & Gasparella, A. (2018). Opportunities and Challenges for Performance Prediction of Dynamic Complex Fenestration Systems (CFS). Journal of Facade Design and Engineering, 6(3), 101–115. https://doi.org/10.7480/jfde.2018.3.2531




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