Power Generation Potential of Small Wind Turbine in Elazig Province, Turkey

Yıldız, Ahmet; Dandil, Besir

doi:10.1109/icpea1.2019.8911158

Cited by 5 publications

(2 citation statements)

References 22 publications

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“…Basta et al [6] developed a wind turbine made with a three-blade horizontal axis system where they used an 8:1 gear train blade. Yıldız and Dandıl [7] built a three-blade horizontal air turbine and added a tailback side to the nacelle to allow it to spin in the direction of the wind. Fayeem et al [8] created a miniature wind turbine with three plastic blades, a dc motor, and a switch-operated light-emitting diode (LED) light.…”

Section: Background Studymentioning

confidence: 99%

An intelligent wind turbine with yaw mechanism using machine learning to reduce high-cost sensors quantity

Bhandari Abhi,

Kumar Saha,

Tahmidul Kabir

et al. 2023

IJEECS

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In this paper, with the assistance of some tools and a machine learning model, a smart wind turbine was formed that eliminates some expensive sensors and reduces sensor complexity. Squirrel cage induction generator (SCIG) and six rotor blades make up the proposed design, and depending on the wind's direction, the turbine itself can rotate the rotor hub to produce energy more effectively. Additionally, two stepper motors are coupled to the yaw mechanism with the aid of the rotor hub, and the entire controlling procedure will depend on the direction of the wind. The rotor hub must continuously revolve in the same direction as the wind to maximize wind energy utilization. Additionally, to correctly predict wind degrees, a machine learning model was deployed. Random forest regression was used to train and predict the wind direction. The model is deployed in Raspberry Pi, where the incoming sensor values are being stored. Using the generated data, machine learning model was trained and it can be concluded that the model can potentially replace some of the expensive sensors to reduce cost. The model can be used for similar weather conditions only based on machine learning model and fewer sensors.

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Section: Background Studymentioning

confidence: 99%

An intelligent wind turbine with yaw mechanism using machine learning to reduce high-cost sensors quantity

Bhandari Abhi,

Kumar Saha,

Tahmidul Kabir

et al. 2023

IJEECS

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“…The power yielded out of the turbine in the car that has been mounted the turbine system on is determined by the expression [24]:…”

Section: Resistance Forces and Numerical Analysismentioning

confidence: 99%

Effect of wind turbine designed for electric vehicles on aerodynamics and energy performance of the vehicle

Yıldız

Dandil

et al. 2022

THERM SCI

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This study aims to generate, independently from the electric network, one part of the electrical energy required in the existing electric vehicles, utilizing the wind en?ergy raised by on-the-go vehicles and thus enhancing the distance covered at one single charge. Regarding that aim, the effect of vehicle type wind turbine, which was designed so as not to cause an increase in the vehicle projection area, on the aerodynamic performance and energy efficiency of the vehicle was analyzed numer?ically. Using the shear stress transport k-? turbulence model, CFD simulations were conducted to determine the drag coefficients, pressure contours and velocity vectors of the designed basic vehicle model (M0) and its two different modified versions (M1, M2). The ANSYS-FLUENT software was used for numerical simulations. In the data obtained from the simulation results, the drag coefficient, compared to the M0 model, was determined to undergo an increase by 8.49% and 4.05%, respectively for M1 and M2 models. The total energy loss of the M2 model increased by 2.47% compared to the M0 model. The net energy gain produced through the wind turbine in the M2 model constituted approximately 5.13% of the total lost energy of the M0 model vehicle. In this context, the energy gain yielded from the wind turbine placed on the vehicle was observed to be higher than the wind turbine-caused energy loss. Thus, it was determined that the study positively contributed to the prolongation of the vehicle driving distance on a single charge.

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Genetic Algorithm Approach based on Graph Theory for Location Optimization of Electric Vehicle Charging Stations

Altundoğan

Yıldız

Karaköse

2021

2021 Innovations in Intelligent Systems and Applications Conference (ASYU)

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Power Generation Potential of Small Wind Turbine in Elazig Province, Turkey

Cited by 5 publications

References 22 publications

An intelligent wind turbine with yaw mechanism using machine learning to reduce high-cost sensors quantity

An intelligent wind turbine with yaw mechanism using machine learning to reduce high-cost sensors quantity

Effect of wind turbine designed for electric vehicles on aerodynamics and energy performance of the vehicle

Genetic Algorithm Approach based on Graph Theory for Location Optimization of Electric Vehicle Charging Stations

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