Master Degree / Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/11147/3008
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Master Thesis Improvement of Indoor Air Quality in Classrooms Based on Age of Air Parameters and Fanger's Predicted Mean Vote Method(Izmir Institute of Technology, 2023) Yetiş, Ahmetcan; Gökçen Akkurt, Gülden; Karadeni̇z, Zi̇ya Haktan; Gökçen Akkurt, Gülden; 03.06. Department of Energy Systems Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologyIndoor air quality in classrooms is an important research topic today. Studies have shown that poor or inadequate indoor air quality has negative effects on students' performance and active participation in classes. The aim of this study is to examine the local air velocity and air age parameters to determine the ventilation needs of crowded, but limited-sized classrooms that are not connected to a central ventilation system, and to investigate the applicability of ventilation systems that can provide adequate indoor air quality. In the study, a primary school classroom with a capacity of 30 students was examined. Ventilation requirement is determined per person according to "ASHRAE 62.1-2022" Standard and "Building Bulletin 101" directive. For ventilation of the classrooms, counter-fluid heat recovery ventilation units mounted embedded in the wall. It is aimed to reduce the total volume allocated for the ventilation device in the classroom compared to the use of a single device. To slow down fresh air entering the room at high speed and mix it before reaching breathing zone, blowing directions of the neighboring devices are intersected. With these information, a classroom model was created to be analyzed with the Computational Fluid Dynamics method. In addition, another classroom model was created for investigating personal ventilation scenario. By a comparative analysis, average air velocities, age of air values around heads of students and students' perception of indoor air quality according to Fanger's "Predicted Average Vote" method were investigated.Master Thesis Microbial Mapping in Air and Surface Samples Collected From Schools(Izmir Institute of Technology, 2022) Sezgin, Efe; Ökten, Hatice Eser; Ökten, Hatice Eser; Sezgin, Efe; 03.07. Department of Environmental Engineering; 03.08. Department of Food Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologyIndoor environmental quality has gained attention in the past decades due to the increased periods of time spent enclosed in buildings. Parameters such as ventilation, water damage, type of paints used, use of carpets, etc. affect the indoor air quality significantly. With the rising concern regarding outbreaks and pandemic, it is important to investigate the microbial load and consortium structure in schools. This thesis aims at determining the microbial loads in three selected schools in the Balçova District of İzmir, Türkiye. Two sampling campaigns were conducted, one in the winter break (February 2022) and one in the spring semester (May 2022). Surface swab samples and settle-plate air samples were collected from pre-defined spots at schools. Surface swab samples and settle-plate air samples were examined via both classical microbial culture methods and modern DNA analysis methods. Via classical microbial culture methods, culture comparison from the database, fungi cultures were dedicated up to genus level. Via modern DNA analysis method, Sanger sequencing, bacterial cultures were dedicated up to genus level too. All the results indicated that three schools were hosting possibly dangerous genera of both fungi and bacteria. But, this also showed that genus-level discrimination is still not enough to utter exact indoor air quality from the perspective of indoor microbiota to the identification of possible health risks for occupants. For further studies, microbial mapping should discriminate up to species level to demonstrate exact indoor air quality and indoor microbiota vie high throughput sequencing methods.