Browsing by Author "Şahin C."

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    Design and fabrication of an outer rotor permanent magnet synchronous generator with fractional winding for micro-wind turbines
    (Institution of Engineering and Technology, 2020) Mamur H.; Şahin C.; Karaçor M.; Bhuiyan M.R.A.
    Permanent magnet synchronous generators (PMSGs) have been widely used in micro-wind turbines (MWTs) for direct-drive applications. The generating maximum power from the PMSGs used in the MWTs is desired. However, cogging torque (CT) and design form of the PMSGs prevent this. Therefore, various methods are applied to reduce the CT of PMSGs in the literature. Some of them are inapplicable and some are the ones that cause power loss. In this study, to overcome the expressed causes, a new design, fabrication, and application of an outer rotor PMSG with fractional winding having a slot-pole combination technique for MWTs have been suggested, designed, and implemented on an MWT. As a result of the new design combination of ±1 or ±2 between the numbers of stator slot (NS) and the number of pole-pairs (2p), the ratio of the CT value to the nominal torque value in the new prototyped outer rotor PMSG was found as 6.25%. Finally, the operating power can generate 1029 W through the prototype PMSG with fractional winding having a slot-pole combination technique integrated into the direct-drive MWT system. © The Institution of Engineering and Technology 2020
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    Life performance prediction of natural gas combined cycle power plant with intelligent algorithms
    (Elsevier Ltd, 2021) Karaçor M.; Uysal A.; Mamur H.; Şen G.; Nil M.; Bilgin M.Z.; Doğan H.; Şahin C.
    The efficient use of a system is enabled with the life performance estimations. Thus, the effective use of underground resources is realized especially natural gas. Based on this, life performance models were generated to aim of improving the efficient use of energy for a combined cycle power plant (CCPP) of 243 MW installed in Izmir, Turkey by using fuzzy logic (FL) and artificial neural network (ANN) in this study. Therefore, output power estimations were carried out. Depending on the developed models, an estimation of the energy that the CCPP can produce and provide to the interconnected system in the following years has been made. According to the obtained results, the error prediction rates of FL and ANN models were determined. It was found that while the energy relative error estimation value that can be produced between the years calculated in modeling using FL varies between 0.59% and 3.54%, this value was found to vary between 0.001% and 0.84% in modeling using ANN. This result shows that the ANN model is more suitable for the life performance estimations of such a non-linear system. © 2021 Elsevier Ltd