Architecture / Mimarlık

Permanent URI for this collectionhttps://hdl.handle.net/11147/24

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Author: search.filters.author.Taşer, AybükePublication Index: search.filters.publicationIndex.WoS

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  • Article
    Citation - WoS: 3
    Citation - Scopus: 5
    Deterioration of Pre-War and Rehabilitation of Post-War Urbanscapes Using Generative Adversarial Networks
    (SAGE Publications, 2023) Çiçek, Selen; Turhan, Gözde Damla; Taşer, Aybüke
    The urban built environment of contemporary cities confronts a constant risk of deterioration due to natural or artificial reasons. Especially political aggression and war conflicts have significant destructive effects on architectural and cultural heritage buildings. The post-war urbanscapes demonstrate the striking effects of the armed conflicts during the hot war encounters. However, the residues of the urbanscapes become the actual indicators of damage and loss. Since today we can make future predictions using a variety of machine learning algorithms, it is possible to represent hybrid projections of urban heterotopias. In this context, this research proposes to explore dystopian post-war projections for modern cities based on their architectural styles and demonstrate the utopian scenarios of rehabilitation possibilities for the damaged urban built environment of post-war cities by using generative adversarial network (GAN) algorithms. Two primary datasets containing the post-war and pre-war building facades have been given as the input data for the CycleGAN and pix2pix GAN models. Thus, two different image-to-image GAN models have been compared regarding their ability to produce legible building facade projections in architectural features. Besides, the machine learning process results have been discussed in terms of cities' utopian and dystopian future predictions, demonstrating the war conflicts' immense effects on the built environment. Moreover, the immediate consequence of the destructive aggression on tangible and intangible architectural heritage would become visible to inhabitants and policymakers when the AI-generated rehabilitation potentials have been exposed.
  • Article
    Citation - WoS: 77
    Citation - Scopus: 95
    Thermal, Daylight, and Energy Potential of Building-Integrated Photovoltaic (bipv) Systems: a Comprehensive Review of Effects and Developments
    (Elsevier, 2023) Taşer, Aybüke; Kundakçı Koyunbaba, Başak; Kazanasmaz, Zehra Tuğçe
    According to energy consumption data of the European Union, buildings account for 40 % of overall energy consumption in all sectors. The rise in building energy demand seriously affects global warming. To reduce demand, buildings must be designed to be energy-efficient. As part of energy-efficiency initiatives, unique systems that employ renewable energy sources should be implemented in buildings. As a new technology, building-integrated photovoltaics is considered an essential technology to achieve this target. Several variables affect the thermal, daylight, and energy performance of building-integrated photovoltaic systems; related to environmental and photovoltaic-related parameters. Thus, the challenges and effects of these variables on the overall performance of these systems should be investigated. This research analyzes building-integrated photovoltaic implemented studies and presents a state-of-art review of recent developments. The study not only summarizes the existing studies developed in this field so far but also analyzes the variables and makes concrete generalizations and inferences. It enables finding gaps and deficiencies in the literature and provides a better understanding of all the variables that affect the performance of building-integrated photovoltaic systems by interpreting the results in detail and representing them graphically instead of only through textual analysis. Results show that building-integrated photovoltaics contribute to constructing a sustainable future for cities. Developments in this industry motivate researchers in this field, whose work will make it easier to cope with future ecological challenges. It helps to build a more sustainable future for society. With new developments, it will be possible to mitigate the effects of future environmental problems.