Solar cells are photovoltaic devices that convert sun energy directly into the electrical energy. Solar panel is composed of multiple solar cells that are combined together. Depending on the power demand, solar panels are connected to each other in series or parallel. Thus, electrical energy from the solar array systems is created to meet the needs. Solar panels are used on roof and wall systems in buildings and power plants. In solar array design, radiance, temperature, shading, surface angle and effect of series-parallel connection, which are factors affecting the operation of solar panels, should be considered. Shading significantly reduces the efficiency of a solar array system. Shading can occur entirely or partially due to dynamic or static obstacles. The effect of shading varies by location at which the solar panel is formed. In this work, design and optimization of solar arrays, positioned over a large area, having different time constant shading effects, was performed in order to minimize shading effect.
Özet: Bu çalışmada, bilgisayar ortamında Waijung blok setleri ve STM32F4 Mikrodenetleyicisi kullanılarak oda sıcaklığının kontrolünün gerçekleştirilmesi için simülasyon yapılmıştır. LM35 sıcaklık sensörü ile alınan anlık değerler neticesinde, simulasyon içerisinde hazırlanan bulanık mantık sistemi ile değerlendirilerek gerektiği taktirde fanların ısıtma ya da soğutma yapmasına karar veren oda sıcaklık kontrolü çalışması yapılmıştır. Bunun için bilgisayar ortamında yazılımsal olarak waijung setlerinden, kontrolör olarak da STM32F4 Mikrodenetleyicisinden faydalanılmıştır.
In this study, traffic signalization by fuzzy logic according to number of vehicles, vehicle type, fuel and time parameters of 5 leg roundabouts were simulated in computer environment. For this purpose, city surveillance cameras (mobese) were used for the selected intersection. In the simulation, the Mamdani type fuzzy model was used. The results of the application are listed in tables. According to the vehicle density coming near the intersection, the transition times or stopping times applied to the intersection were optimized. Also, types of vehicles coming near the intersection are analyzed and vehicles with high fuel consumption are given priority. Thus, fuel consumption and environmental pollution can be reduced. The methods in this study are compared in terms of fuel saving, environmental effects and faster road flow. Accordingly, neutral fuel consumption with fuzzy logic method is averagely %15.9 less than classical method.
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