Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article Geleneksel Konutlarda Günışığı Aydınlığının Değerlendirilmesi: Kula Geleneksel Konutlarında Başoda(Gazi Üniversitesi, 2023) Battal, Cansu; Kazanasmaz, Zehra Tuğçe; İpekoğlu, BaşakDaylighting is one of the main factors among the features that determine the original space qualities in traditional houses. Illuminating the space with daylight also determines its ambience. Daylighting criteria should be considered among the features to be preserved in the usage decisions. In traditional dwellings in Anatolia, the main room is the most lavish room, which has projections and is surrounded by windows on three sides. Therefore, in the buildings which are conserved for reuse, the main room should maintain its original daylighting features. The aim of this study is to draw attention to the maintenance of daylighting features in the restoration decisions of traditional dwellings. Within the scope of the study, daylight performance of the main rooms of Kaçiklar and Zabunlar Houses selected in Kula, Manisa was evaluated. The daylight illuminance of the main rooms was measured during the four seasons; by calculating the ratio of the window area to the floor and wall areas, reflectance of surface materials and normal-normal transmittance of window glass were calculated. Results showed that daylight illuminance of the main room in Kaçiklar House was not sufficient for all four seasons, while it was in Zabunlar House. As a result, while the restoration decisions are developed, opening the closed window in the main room of Kaçiklar House, cleaning the paint on the top windows and and selecting a light-coloured wall finishing material will increase the reflectance value and will positively affect the daylight illuminance; in Zabunlar House, on the other hand, removing the existing wooden glazing in the sofa in order to increase the daylight provided through the sofa and increasing the reflectance value by choosing a light-coloured wall finishing material will increase the daylight illuminance of the main room.Conference Object Citation - WoS: 6Citation - Scopus: 13A Methodology for Daylight Optimisation of High-Rise Buildings in the Dense Urban District Using Overhang Length and Glazing Type Variables With Surrogate Modelling(Iop Publishing Ltd, 2019) Ekici, Berk; Kazanasmaz, Zehra Tuğçe; Turrin, Michela; Taşgetiren, M. Fatih; Sarıyıldız, I. SevilUrbanization and population growth lead to the construction of higher buildings in the 21st century. This causes an increment on energy consumption as the amount of constructed floor areas is rising steadily. Integrating daylight performance in building design supports reducing the energy consumption and satisfying occupants' comfort. This study presents a methodology to optimise the daylight performance of a high-rise building located in a dense urban district. The purpose is to deal with optimisation problems by dividing the high-rise building into five zones from the ground level to the sky level, to achieve better daylight performance. Therefore, the study covers five optimization problems. Overhang length and glazing type are considered to optimise spatial Daylight Autonomy (sDA) and Annual Sunlight Exposure (ASE). A total of 500 samples in each zone are collected to develop surrogate models. A self-adaptive differential evolution algorithm is used to obtain near-optimal results for each zone. The developed surrogate models can estimate the metrics with minimum 98.25% R2 which is calculated from neural network prediction and Diva simulations. In the case study, the proposed methodology improves daylight performance of the high-rise building, decreasing ASE by approx. 27.6% and increasing the sDA values by around 88.2% in the dense urban district. © Published under licence by IOP Publishing Ltd.Article Citation - WoS: 7Citation - Scopus: 8Performance Indices of Soft Computing Models To Predict the Heat Load of Buildings in Terms of Architectural Indicators(Yıldız Teknik Üniversitesi, 2017) Turhan, Cihan; Kazanasmaz, Zehra Tuğçe; Gökçen Akkurt, GüldenThis study estimates the heat load of buildings in Izmir/Turkey by three soft computing (SC) methods; Artificial Neural Networks (ANNs), Fuzzy Logic (FL) and Adaptive Neuro-based Fuzzy Inference System (ANFIS) and compares their prediction indices. Obtaining knowledge about what the heat load of buildings would be in architectural design stage is necessary to forecast the building performance and take precautions against any possible failure. The best accuracy and prediction power of novel soft computing techniques would assist the practical way of this process. For this purpose, four inputs, namely, wall overall heat transfer coefficient, building area/ volume ratio, total external surface area and total window area/total external surface area ratio were employed in each model of this study. The predicted heat load is evaluated comparatively using simulation outputs. The ANN model estimated the heat load of the case apartments with a rate of 97.7% and the MAPE of 5.06%; while these ratios are 98.6% and 3.56% in Mamdani fuzzy inference systems (FL); 99.0% and 2.43% in ANFIS. When these values were compared, it was found that the ANFIS model has become the best learning technique among the others and can be applicable in building energy performance studies.Article Citation - WoS: 5Citation - Scopus: 5Scale-Model and Simulation-Based Assessments for Design Alternatives of Daylight Redirecting Systems for Side-Lighting in an Educational Design Room(Middle East Technical University, 2017) Grobe, Lars Oliver; Hancı Geçit, Burcu; Sevinç, Zeynep; Altınkaya, Gülce; Aksakarya, Gizem; Ergin, Meltem; Öztürk, Yasemin; Kazanasmaz, Zehra TuğçeDaylight has been proven to have positive effects on well-being, comfort and performance of occupants in buildings; it specifically increases learning performance in educational buildings. Side-lighting from one direction leads to unbalanced and insufficient illuminance, especially in large and deep spaces. A design studio at the Izmir Institute of Technology (IZTECH) in Urla, Turkey, has been chosen as an example of a space in such a context. Its geometrical attributes has taken to be the baseline. First, four daylight redirecting systems are applied on its 1/15 scale model to understand and compare their redirection behavior visually. Second, measurements on the scale model are taken to compare the daylight illuminance distributions. Third, to assess the overall performance in the sunny climate, illuminance and luminance maps for photorealistic visualization are calculated in monthly steps over one year. For efficient calculation of the time-steps to be considered, the daylight coefficient method has been applied. Though light ducts are found to be effective for high sun angles, in summer and equinoxes; very low illuminance in entire space make them fail in winter. Light shelves are determined to be the most convenient ones for this space, since they provided sufficient, uniform and high illuminance in equinoxes and winter.Article Citation - WoS: 3Citation - Scopus: 5Classifications for Planimetric Efficiency of Nursing Unit Floors(Middle East Technical University, 2012) Kazanasmaz, Zehra Tuğçe; Tayfur, GökmenBu çalışma, Türkiye’deki 15 Devlet Hastanesine ait ‘Hasta Bakım Üniteleri’ verilerini kullanarak, mimarlık alanında oldukça yeni olan Bulanık Mantık metodu ile verimlilik tahmini yapmakta; bu çerçevede bulanık mantık algoritması geliştirerek, Türkiye’de örnek olarak seçilen kamu hastanelerinin plan (planimetric) tasarım verimliliği için sınıflandırmalar geliştirmeye çalışmaktadır. Hasta bakım ve tedavi ünitelerinin kat planlarından hasta kullanım alanları ve dolaşım alanları elde edilerek bulanık mantık modeli alt kümeleri için üyelik fonksiyonları oluşturulmuştur. ‘Mamdanni’ kural sistemi, kuralların ağırlıklarını hesaplamada ‘min’ fonksiyonu, ve ‘max’ kompozisyonu ve ‘centroid’ metodu da bulanık işlemcisi için kullanılmıştır. Girdi değişkenleri olarak hasta kullanım alanları ve dolaşım alanları modellenmiştir. Girdi değişkenleri ile çıktı değişkeni olan tasarım verimliliği arasındaki ilişkiler bulanık mantık kuralları ile ortaya çıkarılmıştır. Varolan hasta bakım ünitelerini incelemek için, verimlilik çıktı değerleri modelden elde edilmiştir. Genel tasarım normları, tasarım ölçütleri ve önceki çalışmalar ışığında ve de bu model aracılığıyla verimlilik sınıfları oluşturulmuştur. Modelde test edilen 15 hastane kat planından altısının düşük verimli sınıf içinde, dokuzunun ise orta verimli sınıf içinde olduğu görülmüştür. Hiçbiri güncel standartlara ve gereksinimlere uygun değildir. Bu çalışmada elde edilen modelin faydası, verimlilik sınıflarının sınır değerlerini belirleme yeteneğinde olmasıdır. Hastanelerin karşılaştırılarak incelenmesi için oluşturulan verimlilik sınıflandırılması başarı ile sonuçlanmıştır. Hastane tasarımcıları ve yöneticileri, mevcut hastanelerin değerlendirmesini ve karşılaştırmaları yapabilmek için bu çalışmadan geribildirim yoluyla bilgi edinebilir. Sonuç olarak, ilgili binalar hakkında karar verme aşmasında(örneğin binanın iyileştirme ihtiyacının olup olmadığı, yeni mekanlara gerek duyulup duyulmadığı gibi) bu modelden faydalanabilirler.