Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Now showing 1 - 9 of 9
  • Conference Object
    A General Predictive Model to Evaluate Daylight Levels of Residential Buildings in the Mediterranean (Next Med) Region
    (Education and Research in Computer Aided Architectural Design in Europe, 2025) Ekici, B.
    Conceptual design is one of the most critical phases, as design decisions affect the buildings’ performance throughout their life cycle. Researchers consider various computational methods to achieve effective design proposals. Nevertheless, optimization algorithms are necessary to cope with the complexity and increase the efficiency of design alternatives in various aspects. In sustainable building design, these decisions require computationally expensive processes due to the simulation tasks. Besides, making sustainable design decisions is even more challenging in a Mediterranean climate due to changing conditions throughout the year. Therefore, recent studies frequently consider combining predictive models with optimization algorithms to decrease the burden of expensive simulation time. Relevant works present promising outcomes, yet they are limited to predicting the building performance of specific cases; thus, the proposed predictive models are limited to different design problems. This paper investigates the development of a general machine learning (ML) model to overcome this issue. With this motivation, a parametric test box consisting of twenty parameters related to weather data of twelve Mediterranean (Next Med) countries, space dimensions, vertical/horizontal louvers, and material type is developed using Grasshopper 3d. Moreover, a parametric urban model, which considers eight parameters related to the density of the surrounding buildings, is also created to generate numerous environments. The LadyBug tools simulate the daylight autonomy to generate 12,000 samples. Five different ML models involving artificial neural networks (ANN) are built in Python. Statistical results showed that train and test scores achieved promising outcomes in all ML models. However, when predicting user-defined scenarios not involved in the generated dataset, only ANNs perform generalizable, accurate predictions. The paper discusses the ability of ANN models to accurately predict different design scenarios and locations, and the trustworthiness of the training and test scores based only on collected data. © 2025, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Design Alternatives of Light Shelves Using Altmann Linkage
    (Solarlits, 2024) Atarer, Fulya; Korkmaz, Koray; Kiper, Gokhan
    This paper proposes a novel new light shelf design with Altmann linkage using its kinetic principles: geometry and rotational angles. As previous studies explain a light shelf's design in two ways: static and movable, the proposed one in this study has the potential to track the path of the sun due to its diagonal movement. The primary purpose is to direct the light shelf to intermediate directions, such as southeast and southwest, by utilizing the geometric properties of the Altmann linkage. The study explains how to dimension the links, calculate rotation angles, and model this device in Relux to test its daylight performance on specific dates in a year. A total of nine variations were analyzed during the three phases of design. They include shelf forms such as a rectangle, two rectangles, two squares, and varying link lengths, which define the distance to the windowsill. The final set of variations with two-square forms moving west and east successfully satisfied with sDA values as 71.52%, 72.99% (w), 75.92% (e); with ASE values as 8.83%, 8.56% (w), and 8.22% (e). This best design of Altmann linkage would be beneficial as an adaptive fa & ccedil;ade module that can direct daylight inside and achieve proper shading throughout the day and year. (c) 2024 The Author(s). Published by solarlits.com. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).
  • Article
    Citation - WoS: 7
    Citation - Scopus: 6
    A Literature Review on Sustainable Buildings and Neighborhoods in Terms of Daylight, Solar Energy and Human Factors
    (Elsevier, 2025) Cogul, Ilgin cataroglu; Kazanasmaz, Zehra Tugce; Ekici, Berk
    Sustainability has become the focus and interest of researchers with climate change's increasing impact and challenges. Considering various perspectives, published studies focus on sustainability in architecture and the built environment, such as using daylight more effectively, enhancing energy efficiency, and designing nearly zero-energy buildings. Given the attention to sustain- ability in this domain, this review assesses the abovementioned viewpoints in buildings regarding environmental factors in relation to the micro and macro scales of the buildings and neighborhoods. Human factor has increasingly been of interest in recent works of sustainable environments. This study identifies the gaps with respect to architectural design elements considering daylighting, energy efficiency and human factors on building and neighborhood scales. A comprehensive table of the reviewed studies summarizes the aim, methodology, optimization algorithm, objective function, machine learning algorithm, digital tools, location, independent and dependent variables, view, wellness, well-being, daylight/energy performance metrics, scale, and solar strategy. The results showed that the current state-of-the-art focus on energy efficiency mainly considers passive design strategies at the building scale. Studies in the daylight domain primarily consider window properties, shading devices, and orientation. Human-centric studies showed that daylighting improves the emotional well-being of building occupants but can have negative effects such as overheating and glare. Overall findings emphasize the necessity of a holistic approach in achieving sustainability goals in dwellings at the building and neighborhood scale.
  • Article
    Citation - WoS: 7
    Citation - Scopus: 8
    A Review on Adaptive and Non-Adaptive Shading Devices for Sustainable Buildings
    (Elsevier, 2025) Avci, Pelin; Ekici, Berk; Kazanasmaz, Zehra Tugce
    Adaptive and non-adaptive shading devices are noteworthy fa & ccedil;ade components in designing sustainable buildings. As the comparisons of their characteristics are limited, it becomes challenging to understand their efficiency, including their impacts on occupant behavior and comfort metrics. This comprehensive review covers (a) identifying the relationship between architectural parameters and performance targets, (b) exploring model development techniques due to performance targets, and (c) declaring both energy and visual comfort metrics. The paper covers 103 papers under architectural parameters and their corresponding performance targets, namely, daylight and visual comfort metrics with lighting energy. The aim is to identify existing research trends, methodological gaps, and potential for future study by examining how performance targets affect model development approaches. The categorizations include design parameters (shading elements and fa & ccedil;ade organization), control systems (shading device control, artificial lighting control, integrated systems), performance targets (daylight metrics, visual comfort metrics, lighting energy metrics), and modeling methods (simulation, experimental, optimization). Results showed that few studies combined daylight, visual comfort, and lighting energy due to complex modeling approaches, whereas most studies dealt only with daylight. With the increase in simulation software used to conduct research results on various focuses, an increasing trend in published papers is available in this field. Studies mostly observed changes in shading device typologies, slat angles, and numbers. The most dominant climate types were humid subtropical (Cfa) and Mediterranean (Csa). Future studies can be directed to integrated performance targets and combine suitable modeling approaches with AI technologies to produce more validated and accurate results.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 2
    Integration of Daylight Use and Analysis in Double Skin Facades: a Literature Review
    (Gazi Universitesi, 2024) Kazanasmaz, Tugce; Ünlütürk, Mustafa Serhan
    Double skin facades (DSF) aim to save energy reducing the heat losses in buildings. They are visually appeal while allowing to use daylight efficiently. Such facade systems can reduce glare and distribute daylight evenly in the interior when compared to conventional facade systems. That is a result of cavities between two glass facades and locating sun shading elements in them, although this system provides a high level of transparency. As their primary purpose of application is to ensure thermal performance and ventilation, most studies in literature have focused on these. This study started with the hypothesis that studies examining daylight performance in DSFs are more limited than studies examining thermal performance and that daylight optimization methods are not used sufficiently in DSFs. In this context, the study aims to analyze studies focusing on daylight performance of DSFs. The review targets results of such current studies to guide future ones providing feedback knowledge. This may help to better technical developments in such facades and make them prevail in constructions or in retrofitting So, it contributes to literature in this sense. Recent studies are shown in tabulated form and interpreted in detail with graphics. considering their methodologies, daylight parameters and findings. Results show that the daylight parameter is one of the most important issues that architects or designers should consider from the moment they start the design, and they should make their designs based on the optimum penetration of daylight into the building. Consequently, this review presents that the use of daylight optimization has started to be used in recent studies dealing with DSFs. A DSF design can optimally get daylight into the interior can be made by using this method more frequently.
  • Article
    Citation - WoS: 19
    Citation - Scopus: 21
    Multi-Objective Evolutionary Optimization of Photovoltaic Glass for Thermal, Daylight, and Energy Consideration
    (Elsevier Ltd, 2023) Taşer,A.; Kazanasmaz,T.; Kundakcı Koyunbaba,B.; Durmuş Arsan,Z.
    The potential of fenestration systems is increased by incorporating photovoltaic technology into windows. This recently developed technology enhances the ability to generate energy from the building façade, improve the thermal and daylight performance of buildings, and visual comfort of occupants. Integrating an evolutionary optimization algorithm into this technology is one of the possible sustainable solutions to enhance building performance and minimize environmental impact. This paper uses a genetic evolutionary optimization algorithm to explore the optimum performance of photovoltaic glass in an architecture studio regarding annual energy consumption, energy generation, and daylight performance. Design variables include a window-to-wall ratio (i.e., window size and location) and amorphous-silicon thin-film solar cell transparency 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 glass applied on the façade show that the spatial daylight autonomy is increased to 82% with reduced glare risk and higher visual comfort for the occupants. Photovoltaic glass helped reduce the selected room's seasonal and annual lighting loads by up to 26.7%. Lastly, compared to non-optimized photovoltaic glass, they provide 23.2% more annual electrical energy. © 2023 International Solar Energy Society
  • Article
    Citation - WoS: 7
    Citation - Scopus: 7
    Applicability of a Prismatic Panel To Optimize Window Size and Depth of a South-Facing Room for a Better Daylight Performance
    (Znack Publishing House, 2020) Köse, Büşra; Kazanasmaz, Zehra Tuğçe
    This study examines the performance of attached prismatic panels, which have shading capability, in a side-lit deep plan room to find out the least possible WWR value in relation to room depth satisfying the required daylight availability. The methodology is based on simulating a base model in Relux and testing it with alternative models composed of incrementally defined WWR and room depth values. In accordance with minimum IES requirements, the most satisfying sDA value was found to be 48.54 % in a room of 12 m depth with 67 % WWR. An sDA of 51.59 % and 59.26 % was achieved in a room of 9m depth with 43 % WWR and 6m depth with 30 % WWR, respectively. The least ASE values were obtained with the least WWR alternative of 30 % in all room depths. This study presents a new approach with the consideration of innovative daylight redirecting systems to propose revisions for the requirements mentioned in standards about daylight in buildings but based on conventional fenestration systems. © 2020, LLC Editorial of Journal ""Light Technik"". All rights reserved.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 1
    Changes in Attention and Mental Rotation Performance in Relation To Luminance Variations in Educational Spaces
    (Institute of Electrical and Electronics Engineers, 2020) Öner, Merve; Kazanasmaz, Zehra Tuğçe
    This paper attempts to investigate attention and mental rotation performance of students under two groups of luminance ratios in the visual field during VDT work. Each experiment was conducted under daylit conditions and consisted of two trials (with and without shading device) which were carried out in one experimental session. Twenty university students were recruited as participants to perform cognitive test as well as to administer subjective evaluations in a mock-up VDT station. Luminance ratios were grouped based on the ratios between bright light and direct surroundings. Results showed that the students gave faster responses for finding the correct target when the luminance distribution was not uniform whereas the number of correct answers given was higher when the luminance distribution was uniform. Subjective sensation of visual discomfort and lighting appraisal were in the same trend, indicating uniform luminance distribution was more appreciated by the participants. Based on these findings, the study provides additional insights in the effect of luminance patterns on individuals' performance, health and wellbeing in educational buildings. © 2020 IEEE.
  • Article
    Citation - WoS: 14
    Citation - Scopus: 14
    Photon-Mapping in Climate-Based Daylight Modelling With High-Resolution Bsdfs
    (Elsevier Ltd., 2019) Grobe, Lars Oliver
    Visual comfort assessments employing luminance-based metrics rely on efficient CBDM techniques for image synthesis. Data-driven BSDF models allow to isolate internal light paths in optically CFS from CBDM. Bidirectional photon mapping is proposed for the efficient sampling of such models in the calculation of the direct solar component in CBDM. The method allows accurate image synthesis for visual comfort assessments with only two calculation steps, achieving comparable accuracy as the established but complex 5PM. The validity of the approach is confirmed by comparison with backward ray-tracing. Its exemplary application to compare two CFS in terms of glare control demonstrates the importance to achieve reconcilability of conflicting targets such as view and glare control in daylighting. (C) 2019 Elsevier B.V. All rights reserved.