The present study analyses the electric field radiating from the GSM/UMTS base stations located in central Malatya, a densely populated urban area in Turkey. The authors have conducted both instant and continuous measurements of high-frequency electromagnetic fields throughout their research by using non-ionising radiation-monitoring networks. Over 15,000 instant and 13,000,000 continuous measurements were taken throughout the process. The authors have found that the normal electric field radiation can increase ∼25% during daytime, depending on mobile communication traffic. The authors' research work has also demonstrated the fact that the electric field intensity values can be modelled for each hour, day or week with the results obtained from continuous measurements. The authors have developed an estimation model based on these values, including mobile communication traffic (Erlang) values obtained from mobile phone base stations and the temperature and humidity values in the environment. The authors believe that their proposed artificial neural network model and multivariable least-squares regression analysis will help predict the electric field intensity in an environment in advance.
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 İSMAİL CAN DİKMEN, is with
ÖzGünümüzde başta elektrikli (kara, hava ve deniz) araçlar olmak üzere batarya yönetim sistemleri (BYS), güneş ve rüzgâr gibi yenilenebilir enerji santrallerinin enerji depolama ve yedekliliğinde kritik bir rol oynamaktadır. Bu kapsamda hali hazırda perakende enerji sektöründe bulunan batarya yönetim sistemlerinin tüm fornsiyonlarını yerine getirirken; bu donanımlara bir benzeri dahi olmayan ek inovatif çözümler sunacak yeni nesil, modüler ve akıllı batarya yönetim sisteminin yerli olarak üretilip geliştirilmesi için 2018 yılında TUBİTAK 1512 Teknogirişim Sermaye Desteği Programı kapsamında, 2170454 numaralı ve "E-CAMELEON -Elektrikli Araçlar İçin Adaptif Batarya Yönetim Sistemi" başlılı projesi ile çalışmalara başlanılmıştır. Bu kapsamda BMS'nin ilk versiyonu geliştirilerek, proje başarı ile sonuçlandırılmıştır. Mevcut BSM'nin daha da geliştirilerek farklı çözümler için de kullanılabilmesi adına İnönü Üniversitesi
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