Yazar "Ekici, Y. E." seçeneğine göre listele

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    Designing and Analysing of Ferrofluid Core Transformer
    (Ieee, 2018) Kartaca, Kubra; Abbasov, Teymuraz; Karadag, Teoman; Ekici, Y. E.; Dikmen, I. Can
    In this study, the design of the magnetic fluid core transformer, which is a new approach and the characteristics of the output voltage values at different frequencies are investigated The Output voltage characteristics at different frequencies are investigated by adding magnetic fluid into the air-core transformer made of non-magnetic material The results are presented in tables and graphs. It is observed that at high frequency values, the electrical characteristics and the output characteristics of the designed prototype transformer are similar to those of industrial transformers. It has been concluded that magnetic fluid core transformers are advantageous in some applications in comparison with solid metal core transformers. Results are presented comparatively.
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    Electrification in Urban Transport: A Case Study with Real-time Data
    (2021) Dikmen, İ. C.; Ekici, Y. E.; Abbasov, Teymuraz; Hamamcı, Zeynep
    Abstract: Electrification in urban transportation is becoming more popular, it is also becoming a necessity due to climate changes and sustainability issues. Trolleybuses are presenting an alternative for this purpose. Although their technology is a mature technology that has been used for decades, there are still some technical problems that need to be overcome. In this study, a technical method is presented for the conversion of trolleybus auxiliary power units. The electrification conversion demanded by the metropolitan public transportation company operating 22 trolleybuses in the province of Malatya is the replacement of diesel generators, used as auxiliary power units, with battery units capable of meeting the local operational requirements. For this purpose, a method is proposed and followed. At the first step of the implementation, real-time data has gathered from a trolleybus and this one round tour data is used to run on a scaled experiment. The setup has prepared as hardware and software to simulate the consumption on a scaled battery pack. Experimental results were interpreted with capacity and voltage restrictions resulting in the determination of battery chemistry and casing to be used. Then optimal battery placement was defined as a container loading problem and application was made with the first fit decreasing algorithm considering mass and volume restrictions. It was found that only two packing types out of six combinations are enough to form a battery pack within the mass and volumetric limitations. It is evaluated that the method