Master Degree / Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/11147/3008
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Master Thesis Investigation of Windshield Defogging and Defrosting Designs To Decrease Energy Consumption in Vehicles(01. Izmir Institute of Technology, 2023) Ediz, Fatih; Çetkin, ErdalFogging and icing of windshields are general problems that affect driving safety and energy consumption. The aim of this study is to improve the truck windshield defogging system and reduce energy consumption. Firstly, we investigated the effects of vent position and width relative to the glass. In the first stage, we performed analysis on the truck xz plane (2D). We preferred this method to quickly see the effect of vent changes. In the second stage, we applied the modification parameters to the 3D duct model. In both studies, we determined that the independent variables had a statistically significant effect on the dependent variable and determined the parameters with the highest desirability value by using the Analysis of Variance method. Secondly, we added various separators to the duct model. We investigated the total mass flow rate coming to the driver's side with total pressure drop. In this thesis, we used the Eulerian Wall Film (EWF) Model to model the defogging phenomenon on windshields. In the EWF model, the wall film is treated as a separate fluid phase, and the conservation equations for mass, momentum, and energy are solved separately for each fluid phase. As a result, we applied the obtained data to the current design. Windshield defogging performance has improved in the optimization model. The average film thickness in region A decreased by 8.2% compared to the current model, while the average film thickness in region B decreased by 48.1%.Master Thesis Citation - Scopus: 21Multi-Objective Evolutionary Optimization of Photovoltaic Glass for Thermal, Daylight, and Energy Consideration(01. Izmir Institute of Technology, 2023) Taşer, Aybüke; Kazanasmaz, Zehra Tuğçe; Kundakcı Koyunbaba, BaşakAs the industry has expanded and the population has increased recently, so have the World's energy consumption and greenhouse gas emissions. Buildings are responsible for almost 40% of this consumption and emissions. They should be designed following energy-efficient and sustainable strategies. One of the most practical methods for increasing building energy efficiency and reducing environmental effects is building-integrated photovoltaic systems, which use solar energy to generate electricity on-site. This thesis explores the potential of photovoltaic glass technology in an architecture studio at the Izmir Institute of Technology Campus in Izmir, Turkey. The initial part of the study uses simulation modeling and field measurements in three scenarios to test the benefits of this technology in terms of thermal and lighting energy consumption and comfort levels. Scenarios included amorphous silicon thin-film modules in three transmittance values modeled in existing windows. Research findings propose that photovoltaic glasses have the potential to balance the room's lighting loads in a range between 15.1-and 20.3%. They improved occupant thermal and visual comfort by preventing overheating and glare risks. They also decreased cooling loads. Then, the study uses a genetic optimization algorithm to explore the optimum potential of the system in terms of annual energy consumption and daylight performance. Design variables are the window-to-wall ratio (i.e., window size and location) and amorphous-silicon thin-film solar cell transmittance to generate optimum Pareto-front solutions for the case building. Optimization objectives are minimizing annual thermal (i.e., heating and cooling) loads and maximizing Spatial Daylight Autonomy. Optimized results of Low-E semi-transparent amorphous-silicon photovoltaic modules applied on the window surface show that the Spatial Daylight Autonomy is increased to 82% with reduced glare risk and higher visual comfort for the occupants. Photovoltaic modules helped reduce the room's seasonal and annual lighting loads by up to 26.7%. Compared to non-optimized photovoltaic glass, they provide 23.2% more annual electrical energy.