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Öğe Photovoltaic Panel Efficiency Estimation with Artificial Neural Networks: Samples of Adiyaman, Malatya, and Sanliurfa(Hindawi Ltd, 2019) Icel, Yasin; Mamis, Mehmet Salih; Bugutekin, Abdulcelil; Gursoy, Mehmet IsmailThe amount of electric energy produced by photovoltaic panels depends on air temperature, humidity rate, wind velocity, photovoltaic module temperature, and particularly solar radiation. Being aware of the behaviour patterns of the panels to be used in project and planning works regarding photovoltaic applications will set forth a realistic expense form; therefore, erroneous investments will be avoided, and the country budget will benefit from added value. The power ratings obtained from the photovoltaic panels and the environmental factors were measured and recorded for a year by the measurement stations established in three diverse regions (Adiyaman-Malatya-Sanliurfa). In the developed artificial neural network models, the estimation accuracy was 99.94%. Furthermore, by taking the data of the General Directorate of Meteorology as a reference, models of artificial neural networks were developed using the data from Adiyaman province for training; by using Malatya and Sanliurfa as test data, 99.57% estimation accuracy was achieved. With the artificial neural network models developed as a result of the study, the energy efficiency for the photovoltaic energy systems desired to be established by using meteorological parameters such as temperature, humidity, wind, and solar radiation of various regions anywhere in the world can be estimated with high accuracy.Öğe Study of efficiency of turbines with differing diameters of solar chimney energy systems(Techno-Press, 2024) Icel, Yasin; Bugutekin, Abdulcelil; Mamis, Mehmet S.Solar Chimney Power Plants (SCPP) consist of three main components: solar collector, chimney and turbine. Air under the collector is heated by the greenhouse effect, the air density is reduced and the air flows toward the chimney located at the center of the collector. Thus, electricity is produced at the turbine mounted at the entrance of the chimney. In this study, measurements have been carried out on the Solar Chimney Power Plant (SCPP) system built at Ad & imath;yaman University Campus area, with specifications 15 m in height, 0.8 m in diameter of chimney, 0.004 m thick transparent glass floor and a collector having maximum of 27 m in diameter. For this purpose, air flow rate and temperature in the chimney at certain times of the day, ambient temperature, ambient wind speed, ground temperature heated by the greenhouse effect of the collector, temperature and air velocity under the collector, the number of revolutions of turbines of different diameters and Ad & imath;yaman solar radiation values were evaluated. In this study, it has been determined that solar radiation, ambient temperature, chimney height and diameter, solar radiation absorption rate of the ground under the collector are the parameters that affect the efficiency performance of the system. It is also observed that temperature and air velocity at the point where the turbine assembly is located are maximum. In addition, it was determined that the turbine model with a diameter of 0.8 m was the most efficient model for the system. It is concluded that Solar Chimney Power Plant (SCPP) can be considered as alternative energy sources for Ad & imath;yaman.