Phd Degree / Doktora

Permanent URI for this collectionhttps://hdl.handle.net/11147/2869

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  • Doctoral Thesis
    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.
  • Doctoral Thesis
    An Optimization Model for Luminaire Layout Design in Office Spaces: Optimlum
    (Izmir Institute of Technology, 2018) Uygun, İlknur; Kazanasmaz, Tuğçe; Kale, Serdar
    There are several methods used in lighting design. The realistic methods have been developed by the computer graphics which use the engineering computational tools and architectural rendering together. Although lighting designers would design an accurate lighting system which provides desired illuminance levels through computer graphics, it is still necessary to propose optimal and alternative solutions by maximizing comfort conditions and minimizing energy consumption by practical techniques. Thus, the purpose of this study is to propose an optimization model for offices to estimate the accurate layout, number and type of light sources according to visual comfort conditions and energy efficiency. Model is conducted mathematically based on the primary objective which is to provide uniform illumination on work plane with the constraints about vertical illuminances and luminance values. Model named OptimLUM is validated by comparing measurements and simulations. Finally, OptimLUM offer some energy efficient layouts for different office sizes with different number and type of light sources. To be more energy efficient and decrease the energy loads by artificial lighting, these layouts were integrated with daylight. Unlike common lighting design solutions, OptimLUM offers unsymmeterical but more energy efficient layouts by using minimum number of luminaires. According to outputs of the model integrated with daylight, for artificial lighting design in offices, lighting designers should decide on the number and type of luminaires by comparing the darkest and day usage conditions. As a result, by using OptimLUM during the design phase, designers can provide visual comfort conditions for office users while reducing the energy loads of artificial lighting.