Browsing by Author "Kazanasmaz, Tuğçe"

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Citation - WoS: 2
Citation - Scopus: 6
Examining occupancy and architectural aspects affecting manual lighting control behaviour in offices based on a user survey
(LLC Editorial of Journal "Light Technik" lights-nr@inbox.ru VNISI rooms 327334106 Prospect Mira Moscow 129626, 2018) Arzu Cilasun Kunduraci; Tugce Kazanasmaz; Truus Hordijk; Cilasun Kunduraci, Arzu; Kazanasmaz, Tuğçe; Hordijk, Truus
Further understanding the building occupants’ needs and behaviors can reduce lighting energy consumption. This research explores how the occupancy and interior architectural aspects become effective in manual lighting control in offices. It involves a multiple sectioned questionnaire focusing on the possible architectural factors such as the desk position the surface colours the distance to window the distance between desk and lighting switch and inquiring participants’ manual lighting control behaviour through the photographs of modified interior layouts surface colours and time intervals. Statistical methods are used to determine the significant aspects which may reduce the use of lighting control. Interior layout distance to window time of the day and number of occupants in the offices are the most significant contributions to the manual lighting control behaviour. To pay attention in these contributions it would be possible to reduce the use of electricity for lighting while user satisfaction increases. © 2018 Elsevier B.V. All rights reserved.
Citation - WoS: 23
Citation - Scopus: 25
Multi-objective evolutionary optimization of photovoltaic glass for thermal- daylight- and energy consideration
(PERGAMON-ELSEVIER SCIENCE LTD, 2023) Aybuke Taser; Tugce Kazanasmaz; Basak Kundakci Koyunbaba; Zeynep Durmus Arsan; Kundakcı Koyunbaba, Başak; Taşer, Aybüke; Durmuş Arsan, Zeynep; Koyunbaba, Basak Kundakci; Arsan, Zeynep Durmus; Kazanasmaz, Tuğçe
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 facade 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 facade 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.