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, StephenDaylight 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 Categorization of Manual Lighting Control Behavior Patterns Based on Interior Layout in Offices(İzmir Institute of Technology, 2016) Cılasun Kunduracı, Arzu; Kazanasmaz, Zehra TuğçeTo reduce energy consumption due to lighting, variety of methods such as energy efficient products, daylight and lighting control systems, simulation softwares are being used. However, these methods may fall short of their potential if the end user, occupants, are not taken into consideration. Energy consumption due to lighting can be reduced further by understanding building occupants’ needs and behaviors. In this study, to understand user behavior for lighting, manual lighting control of occupants were examined. This examination compromises physical, temporal and architectural factors which affect manual lighting control behavior. Especially the focus was on interior layout to observe the relation between the architectural parameters and manual lighting control behavior. The goal of the research and experiments of this dissertation was to obtain realistic manual lighting control data in offices. First of all, various parameters including physical, visual, occupancy and architectural were observed and statistically analyzed by the conducted questionnaire, to find the most triggering/inhibiting factors for manual lighting control. Secondly three private offices were equipped to monitor the change in manual lighting control behavior with regards to occupancy, daylight penetration and interior layout. Results used to generate from the fuzzy model which offers more detailed classifications on manual lighting control probabilities. Gathered results showed that interior layout has a significant contribution to manual lighting control. As a result, if architects/lighting designers/researchers utilize the provided classifications of the tested parameters on the future studies, they can reduce energy consumption while increasing user satisfaction.Doctoral Thesis 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 TuğçeIt 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.