The upcoming study investigates the design and use of vertical-axis wind turbines for power extraction in Chahnimeha, Zabol. In Sistan and Baluchestan provinces, due to the vastness and climatic barriers, the use of renewable energy can greatly contribute to the well-being of people. Using the meteorological data of this province, the average wind speed in the Chahnime region is estimated at 6.4 m/s. At first, 4 airfoils with the highest lift-to-drag coefficient have been selected and studied for wind turbine design. By choosing the best airfoil among the four examined ones, a wind turbine with 3 different blade sizes and rotor radius was designed. The wind turbine, which is designed with a blade length of 3 meters and a rotor radius of 1.5 m, has the best performance. The vertical axis wind turbine has been investigated in 4 models with 3, 5, 7, and 9 blades. The power factor of the 3-bladed turbine is equal to 0.30, and of the 7-bladed wind turbine is equal to 0.45. Among the examined wind turbines, the best wind turbine with 7 blades was chosen. The reduction of wind speed before the blades is influenced by the solidity of the wind turbine. The study of wind turbine exergy was used to investigate the environmental effects such as humidity and temperature on the performance of wind turbines in the climatic region of Zabol. The exergy efficiency of the designed 3-blade and 7-blade wind turbine is equal to 45 and 75%, which shows the effect of temperature and relative humidity on the wind turbine efficiency in a climate region. The results of this study clearly show that it is possible to use a 7-blade vertical axis wind turbine to provide electricity to areas far from the grid and to produce scattered.

In this study, weather conditions such as air humidity, temperature air, and wind speed were investigated in relation to wind turbine efficiency with the approach of an exergy study. In this study, the wind speed has been investigated in two different climatic regions of Iran with an approximate distance of 1200 km, in the names of Ardabil and Marvast. The amount of wind density of Ardabil is equal to 66 (kW/m2) and Marvast is equal to 123 (kW/m2). Power production using a 10 (Kw) wind turbine in the Ardabil region is 2.3 (MWh) and in the Marvast region is 3.2 (MWh) per year. The highest wind turbine exergy efficiency is 0.48 in the Ardabil region, and the highest exergy efficiency in the Marvast region is 0.18. The amount of reduction of CO2 gas production, using wind turbines in comparison to gas and diesel power plants in Ardabil, are 1.1 and 2.1 tons and in Marvast are 1.5 and 2.9 tons per year. This reduction in CO2 greenhouse gas per year is equal to using a forest region of 1000 (m2) to 3000 (m2). The use of wind turbines reduces the fuel consumption of diesel power plants in the Ardabil region for the amount of 797.4 liters and in the Marvast region for the amount of 1244 liters of diesel per year. According to this review, it can be concluded that in addition to wind speed, air humidity plays a significant role in the selection, installation, and commissioning of wind turbines in the region. According to this survey, it can be seen that in the Ardabil region, the wind speed of the wind turbine has a higher exergy efficiency than in the Marvast region, and it can be concluded that the wind turbine has performed better in the Ardabil region.

In this study, the performance of a ducted wind turbine is compared with a bare one using wind tunnel results. Ducted turbines are a type of small wind turbines, which consist of a diffuser surrounding the rotor. The duct makes more air flow in rotor plain and as a result augments power production. The blade was fabricated, using resin polyester armed by glass fiber. Duct is formed by sheet metal rolling in slope to have an acceptable appearance. According to BEM design, predicted power for the bare turbine is 300W in wind velocity 10 m/s considering 20% loss due to bearing resistant, rotor inertia, and generator efficiency. wind tunnel investigation revealed 165W power experimentally for bare wind turbine. The evaluation of the system in the wind tunnel showed that the power augmentation of the ducted system compared to the bare one was 37% higher on average. The maximum power augmentation of the ducted turbine was 286W. The rotor speed of ducted turbine was 61% more than the bare turbine, which increased the speed of the tip of the blade.

This paper analyzes the behavior of a Permanent Magnet Synchronous Generator (PMSG) wind turbine using the maximum power extraction (MPE) method in response to wind speed fluctuations. The behavior of the wind turbine in the frequency domain will be analyzed to have the wind turbine response in the frequency domain. By combining the wind speed frequency content and wind turbine frequency response, the frequency content of wind turbine output power fluctuation will be gained. A PMSG wind turbine system is simulated with real wind speed data in the PSIM software environment, and the results are compared with theoretical results for validation of the model.

In this study, the improvement of the turbine performance of Savonius, one of the vertical axis wind turbines, was carried out numerically. The numerical approach used in the improvement studies was supported by experimental results and was confirmed. Within the scope of this improvement, a wind collector was placed in the turbine front zone to decrease the negative moment on the counter-rotating blade of the Savonius turbine. To obtain the highest turbine performance, all of the changes in the design parameters of this wind collector, such as the wind inlet width, wind outlet width, collector length, and collector height, were examined, and ideal design parameters of the collector were specified. The geometric parameters of the investigated wind collector were taken depending on the circular dimension of the Savonius turbine used. Unsteady simulations for different geometric parameters using the sliding mesh approach were performed in the CFD program. According to the numerical analysis results, the power-coefficient of the conventional turbine was increased to 0.23 levels by using the wind collector with the ideal geometric parameters. Thus, with the use of a wind collector, the power coefficient of a conventional Savonius wind turbine was improved by about 54%.

Like other offshore structures, floating wind turbines are subjected to stochastic wave and wind loads that cause a dynamic response in the structures. wind turbines should be designed for different conditions, such as Operational and Survival conditions. In high sea states, the response can be quite different from the operational condition. The present paper deals with coupled wave and wind induced motion in harsh conditions, up to 15 m significant wave height and 50 m/sec average wind speed. There are several ways to deal with the dynamic response of floating wind turbines. The Coupled Time domain dynamic response analysis for a moored spar wind turbine subjected to wave and wind loads is carried out using DeepC. DeepC is well known software for calculating the coupled dynamic response of moored floating structures. The aerodynamic forces on a parked wind turbine are calculated, based on the strip theory, and imported to the DeepC through a MATLAB interface. At each time step, the relative wind velocity, based on the response of the structure, is calculated.

In this paper, a 3.1kW DC motor is used to simulate the static and dynamic behavior of a horizontal axis wind turbine. The effect of the difference between the wind turbine's inertia and DC motor on the dynamic behavior of the system, torque oscillation due to the effect of the tower shadow and wind shear, and the effect of rotary losses in the mechanical torque of the DC motor are considered. The torque of the DC motor is controlled by the closed-loop PID controller. This closed loop has two feedbacks for the speed and current of the DC motor. The turbine calculations are performed in Matlab/Simulink and the reference signal of the turbine's torque is sent to the chopper using an interface card. Two methods are proposed to estimate the acceleration of the DC motor to improve the compensation of the turbine inertia effect: the Kalman Filter, and the second-order low-pass filter. Adjustable parameters of proposed methods are optimized using the particle swarm optimization algorithm (PSO). A 2.2 kW synchronous generator is coupled with the wind turbine emulator and feeds a constant load. To show the effectiveness of the proposed methods the results are reported. The results indicate that the Kalman filter has a better performance in the compensation of the turbine inertia effect.