GCRIS

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Data-Driven Modelling of Daylight Redirecting Fenestration at Variable Directional Resolution
(Izmir Institute of Technology, 2019) Grobe, Lars Oliver; Kazanasmaz, Tuğçe; Wittkopf, Stephen
Daylight Redirecting Fenestration (DRF) aims at the optimal utilisation of daylight in buildings striving for high visual comfort standards. Daylight simulation allows to assess whether this objective is met in architectural context, and guides decisions in building design as well as the development of DRF. The daylight simulation suite Radiance allows to employ data-driven models of variable resolution to accurately replicate the irregular light scattering by DRF. In this context, this research provides methods to improve DRFs’ integration in daylight assessments. The thesis consolidates a series of publications that address particular problems in the generation and application of data-driven models, with a focus on accurate image synthesis for visual comfort assessments. First, the parametrisation of model generation from gonio-photometric measurements is tested. Second, a novel extension of the instrumentation allows to characterise and subsequently model retro-reflection by an innovative coating. Applied in DRF, the coating controls solar gains and glare, while maintaining a view to the outside. Third, to assemble accurate data-driven models of fenestration layers into descriptions of the entire DRF, an approach employing matrix calculations is adapted and tested. Finally, the Photon Map implementation in Radiance is modified for efficient image synthesis with data-driven models, and employed in a simplified but accurate approach to Climate-Based Daylight Modelling that demonstrates the potential of retro-reflection to efficiently control glare and maintain view with static DRF. The research contributes to the applicability of data-driven models, and confirms the potential of DRF to reconcile diverging daylight performance targets such as glare control and view.
A Proposal for a Retrofitting Model for Educational Buildings in Terms of Energey Efficient Lighting Criteria
(Izmir Institute of Technology, 2015) Bayram, Göze; Kazanasmaz, Zehra Tuğçe
It has been crucial to benefit from daylighting and artificial lighting together as an integrated system in educational buildings to use energy efficiently during the day, since a well-designed lighting increases learning and working performance. The aim was to find the optimum values for daylighting to achieve visual comfort conditions and artificial lighting design parameters for minimum energy consumption for an educational building. For this purpose, six rooms having different orientations, sizes, function and façade configuration were selected from case building, Department of Mechanical Engineering in İzmir Institute of Technology, to evaluate and propose energy efficient lighting design by retrofitting scenarios. The main concern was that none of the rooms had its own proper solution for façade design according to the recommendations for daylighting and energy efficient usage. Input paramaters such as fenestration, light shelves, shading devices, surface colours, lighting fixture types and layouts were studied in scenarios by using daylighting simulation tool, DIALux. In real life application, it is possible to benefit from daylighting effectively and to minimize energy consumption by using intelligent sensors connected to the shading automation systems. This would be the best solution for visual comfort and energy efficiency in buildings. Thus, this study focused on optimum values of the input parameters which would provide such foreknowledge for such systems. In order to obtain energy efficient lighting performance in an educational building, it is important to evaluate the results for retrofitting that will be a guide for designers, architects and researchers.

Phd Degree / Doktora

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