scholarly journals Wind Turbine Power Calculations Using MATLAB-SIMULINK

2021 ◽  
pp. 54-61
Author(s):  
H. L. Suresh ◽  
C. V. Mohan ◽  
Nitin Kumar Reddy K N
Keyword(s):  
Wind Speed ◽  
Modeling And Simulation ◽  
Wind Turbine ◽  
Wind Velocity ◽  
Simulation Method ◽  
Financial Viability ◽  
Turbine Performance ◽  
Air Density ◽  
Overall Performance ◽  
Swept Area

In this paper modeling and simulation has been studied by means of impact of energy generated by using wind turbine. The strength conversion primarily depends on the wind velocity and swept area. When design wind structures it’s very important to recognize predicted electricity and electricity output for calculating financial viability. Wind turbine performance depends on wind speed, air density, air pressure, temperature and length of blade. The modeling and simulation method is used to analyze the overall performance of wind turbine.

Experimental Study of Vertical Axis Wind Turbine with Wind Speed Self-Adapting

2012 ◽  
Vol 215-216 ◽  
pp. 1323-1326
Author(s):  
Ming Wei Xu ◽  
Jian Jun Qu ◽  
Han Zhang
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Wind Velocity ◽  
Vertical Axis ◽  
Maximum Power ◽  
The Self ◽  
Power Coefficient ◽  
Speed Ratio ◽  
Vertical Axis Wind Turbine ◽  
Opening And Closing

A small vertical axis wind turbine with wind speed self-adapting was designed. The diameter and height of the turbine were both 0.7m. It featured that the blades were composed of movable and fixed blades, and the opening and closing of the movable blades realized the wind speed self-adapting. Aerodynamic performance of this new kind turbine was tested in a simple wind tunnel. Then the self-starting and power coefficient of the turbine were studied. The turbine with load could reliably self-start and operate stably even when the wind velocity was only 3.6 m/s. When the wind velocity was 8 m/s and the load torque was 0.1Nm, the movable blades no longer opened and the wind turbine realized the conversion from drag mode to lift mode. With the increase of wind speed, the maximum power coefficient of the turbine also improves gradually. Under 8 m/s wind speed, the maximum power coefficient of the turbine reaches to 12.26%. The experimental results showed that the new turbine not only improved the self-starting ability of the lift-style turbine, but also had a higher power coefficient in low tip speed ratio.

scholarly journals Attempt to quantify the impact of seasonal air density variation on operating tip-speed ratio of small wind turbines

2021 ◽  
Vol 2090 (1) ◽  
pp. 012144
Author(s):  
Hiroki Suzuki ◽  
Yutaka Hasegawa ◽  
O.D. Afolabi Oluwasola ◽  
Shinsuke Mochizuki
Keyword(s):  
Wind Turbine ◽  
Wind Velocity ◽  
Governing Equation ◽  
Rotational Speed ◽  
Speed Ratio ◽  
Tip Speed Ratio ◽  
Air Density ◽  
Small Wind Turbines ◽  
The Impact ◽  
Aerodynamic Torque

Abstract This study presents the impact of seasonal variation in air density on the operating tip-speed ratio of small wind turbines. The air density, which varies depending on the temperature, atmospheric pressure, and relative humidity, has an annual amplitude of about 5% in Tokyo, Japan. This study quantified this impact using the rotational speed equation of motion in a small wind turbine informed by previous work. This governing equation has been simplified by expanding the aerodynamic torque coefficient profile for a wind turbine rotor to the tip-speed ratio. Furthermore, this governing equation is simplified by using nondimensional forms of the air density, inflow wind velocity, and rotational speed with their characteristic values. In this study, the generator’s load is set to be constant based on a previous analysis of a small wind turbine. By considering the equilibrium between the aerodynamic torque and the load torque of the governing equation at the optimum tip-speed ratio, the impact of the variation in the air density on the operating tip-speed ratio was expressed using a simple mathematical form. As shown in this derived form, the operating tip-speed ratio was found to be less sensitive to a variation in air density than that in inflow wind velocity.

The influence of the wind speed profile on wind turbine performance measurements

Wind Energy ◽  
2009 ◽  
Vol 12 (4) ◽  
pp. 348-362 ◽  
Author(s):  
Rozenn Wagner ◽  
Ioannis Antoniou ◽  
Søren M. Pedersen ◽  
Michael S. Courtney ◽  
Hans E. Jørgensen
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Speed Profile ◽  
Performance Measurements ◽  
Wind Speed Profile ◽  
Turbine Performance

scholarly journals Influence of the Heights of Low-Level Jets on Power and Aerodynamic Loads of a Horizontal Axis Wind Turbine Rotor

Atmosphere ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 132 ◽  
Author(s):  
Xuyao Zhang ◽  
Congxin Yang ◽  
Shoutu Li
Keyword(s):  
Wind Speed ◽  
Power Spectrum ◽  
Wind Turbine ◽  
Horizontal Axis ◽  
Horizontal Axis Wind Turbine ◽  
Aerodynamic Loads ◽  
Low Level ◽  
Low Level Jets ◽  
Inflow Conditions ◽  
Swept Area

The influence of the heights of low-level jets (LLJs) on the rotor power and aerodynamic loads of a horizontal axis wind turbine were investigated using the fatigue, aerodynamics, structures, and turbulence code. The LLJ and shear inflow wind fields were generated using an existing wind speed spectral model. We found that the rotor power predicted by the average wind speed of the hub height is higher than the actual power in relatively weak and shallow LLJ inflow conditions, especially when the LLJ height is located inside the rotor-swept area. In terms of aerodynamic loads, when the LLJ height is located inside the rotor-swept area, the root mean square (RMS) rotor thrust coefficient and torque coefficient increase, while the RMS rotor unbalanced aerodynamic load coefficients, including lateral force, longitudinal force, tilt moment, and yaw moment, decreased. This means that the presence of both positive and negative wind shear in the rotor-swept area not only increases the rotor power but also reduces the unbalanced aerodynamic loads, which is beneficial to the operation of wind turbine. Power spectrum analysis shows no obvious difference in the power spectrum characteristics of the rotor torque and thrust in LLJ inflow conditions with different heights.

Research the Influencing Factors of the Low Wind Speed Wind Turbine Fatigue Loads

2014 ◽  
Vol 1008-1009 ◽  
pp. 164-168
Author(s):  
Fa Ming Wu ◽  
Lei Wang ◽  
Dian Wang ◽  
Jia Bao Jing
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Turbulence Intensity ◽  
Fatigue Load ◽  
Annual Average ◽  
Average Wind Speed ◽  
Low Wind Speed ◽  
Air Density ◽  
Average Wind ◽  
Fatigue Loads

This paper analyzes three main factors (turbulence intensity, air density, annual average wind speed ) that influence the low wind speed wind turbine fatigue loads, In order to analyze the influence of each main parameters how to affect the fatigue load of low wind speed wind turbine, using a 2000kW wind turbine as an example on the simulation test , 3 turbulence, 4 air density and 7 annual average wind speed were employed. The results show that, with the air density, turbulence intensity and the annual average wind speed increases, the wind turbine of fatigue load increase in rule approximately. Based on the above rule, it can reduce fatigue loads and prolong the life of wind turbine in design optimization of low wind speed wind turbine and sit choice.

scholarly journals THE EFFECT OF DARRIEUS AND SAVONIUS WIND TURBINES POSITION ON THE PERFORMANCE OF THE HYBRID WIND TURBINE AT LOW WIND SPEED

2020 ◽  
Author(s):  
Nawfal M. Ali ◽  
Abdul Hassan A. K ◽  
Sattar Aljabair
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Wind Velocity ◽  
Vertical Axis ◽  
Aerodynamic Characteristics ◽  
The Other ◽  
Vertical Axis Wind Turbine ◽  
Low Wind Speed ◽  
Turbine Model ◽  
Better Than

This paper presents an experimental and numerical simulation to investigate a hybrid vertical axis wind turbine model highly efficient which can be worked at low wind speed by studying the aerodynamic characteristics of four models of hybrid VAWTs. The hybrid WT consists of the SWT having two blades and the DWT type straight having two blades. Four models were constructed to study experimentally and numerically to choose the best model. Two models were DWT in the upper and SWT in the lower, also two models were SWT in the upper and DWT in the lower. The phase stage angle between the turbines is 0o and 90o . The experimental and numerical results showed that the performance of hybrid WT where DWT in the upper and SWT in the lower with phase stage 90o is better than in the other models, it can be started to work at a wind velocity of 2.2 m/s. At the wind velocity 3 m/s, the values of the parameters are the rotational speed (198 rpm), the CP (0.3195), the CT (0.2003), the TSR (1.6) and self-starting rotation at this value of wind velocity (3 m/s). The efficiency of extracting the wind power by hybrid WT is (51.2 %).

scholarly journals High Humidity Aerodynamic Effects Study on Offshore Wind Turbine Airfoil/Blade Performance through CFD Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Weipeng Yue ◽  
Yu Xue ◽  
Yan Liu
Keyword(s):  
Water Vapor ◽  
Wind Turbine ◽  
Performance Degradation ◽  
Offshore Wind ◽  
High Humidity ◽  
Humidity Effects ◽  
Water Condensation ◽  
Turbine Performance ◽  
Air Density ◽  
Rainy Weather

Damp air with high humidity combined with foggy, rainy weather, and icing in winter weather often is found to cause turbine performance degradation, and it is more concerned with offshore wind farm development. To address and understand the high humidity effects on wind turbine performance, our study has been conducted with spread sheet analysis on damp air properties investigation for air density and viscosity; then CFD modeling study using Fluent was carried out on airfoil and blade aerodynamic performance effects due to water vapor partial pressure of mixing flow and water condensation around leading edge and trailing edge of airfoil. It is found that the high humidity effects with water vapor mixing flow and water condensation thin film around airfoil may have insignificant effect directly on airfoil/blade performance; however, the indirect effects such as blade contamination and icing due to the water condensation may have significant effects on turbine performance degradation. Also it is that found the foggy weather with microwater droplet (including rainy weather) may cause higher drag that lead to turbine performance degradation. It is found that, at high temperature, the high humidity effect on air density cannot be ignored for annual energy production calculation. The blade contamination and icing phenomenon need to be further investigated in the next study.

scholarly journals Comparison of Blade Dimension Design of a Vertical Wind Turbine Applied in Low Wind Speed

2018 ◽  
Vol 68 ◽  
pp. 01001
Author(s):  
Rizky Brillian Yuliandi ◽  
Rusdianasari ◽  
Tresna Dewi
Keyword(s):  
Wind Turbine ◽  
Lift Force ◽  
Advantages And Disadvantages ◽  
Low Wind Speed ◽  
Turbine Performance ◽  
Experimental Variation ◽  
Drag And Lift ◽  
Overlap Ratio ◽  
Swept Area ◽  
Made In

The type of vertical turbine used for this research was a savonious where the profile of the blade was made in the form of a half-cylinder. The performance of the turbine rotation was strongly influenced by the swept area. Drag and lift force was influenced by the swept area. Both of the forces had its own advantages and disadvantages. Because of that, the dimensional engineering was implemented to obtain the optimal performance of the turbine. Experimental dimensions were tested with the variation of height size (H = 40 cm and 60 cm) and diameter size (D = 40 cm and 60 cm). The distance between the blades known as the overlap ratio was related to the dimensions. Overlap ratio has a role to the upwind and downwind wind flow because the overlap ratio changes affect the swept area. The experimental variation of the overlap ratio was at the distance of 0 cm and 10 cm. The experimental results concluded that the best turbine performance was obtained during wind turbine testing with H = 40 cm and D = 60 cm on primary overlap value minus 10 cm and secondary overlap 0 cm.

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