We define Climate-Based Daylight Modelling (CBDM) as the daylighting practice that makes use of weather data to inform designers of the luminous conditions over the year that characterise each specific project.
The common aim in daylighting practice is to provide better quality light for the visual comfort and wellbeing of the building occupants. However, the tools and workflows currently used to perform CBDM are many and varied. My PhD research is focusing on the applicability of these workflows and on how they compare to each other.
Survey on CBDM for practitioners
As part of my research, I am currently doing a survey to all practitioners in the field of lighting/daylighting that use or used CBDM for their work. The answers obtained from this survey will be part of the research findings and will broaden the understanding of how practitioners use CBDM to make better informed decisions and to improve their design.
If you are interested in taking part to the survey, please follow the link below (it takes about 10 minutes to complete):
https://lboro.onlinesurveys.ac.uk/cbdm-workflows-2
The results of the survey will be published on this page when the answers collection and analysis will be over.
Research data and outputs
The datasets containing part of the inputs and outputs from my research will be made available here in the near future.
The input data includes the 3D models of the rooms used in the simulations, together with the specification of all the parameters necessary to reproduce the results that I obtained. The main scripts that I used to run the simulation with Radiance and to post-process the results with Python will be also made available as a GitHub repository; my coding skills were all acquired while doing the PhD, so the scripts' structure is definitely messy and not very flexible I am afraid. However, if you find anything useful (or anything wrong) do let me know :)
The output data includes the resulting datasets that were used in the analyses published in conference or journal papers.
Publications
Brembilla, E., Mardaljevic, J. & Anselmo, F., 2015. The effect of the analysis grid settings on daylight simulations with Climate-Based Daylight Modelling. In Proceeding of 28th CIE Session 2015. Manchester, GB.
Brembilla, E., Mardaljevic, J. & Hopfe, C.J., 2015. Sensitivity Analysis studying the impact of reflectance values assigned in Climate-Based Daylight Modelling. In Proceedings of BS2015: 14th Conference of IBPSA. Hyderabad, IN.
More on ResearchGate
Contacts
Eleonora Brembilla
LinkedIn Profile: Eleonora Brembilla
Twitter: @EleBrembilla
Useful Links
Radiance website: radiance-online.org
Climate-Based Daylight Modelling website: climate-based-daylighting.com
Acknowledgments
The research is supported by Loughborough University and by Arup thanks to an EPSRC CASE Award (Ref. n. 1357515). Thanks to all my supervisors: Prof. John Mardaljevic, Dr. Christina Hopfe, Dr. Francesco Anselmo and Prof. Jon Wright.