Power-Speed Estimation for Wind Turbine Based Renewable Energy Systems

Abstract

the wind turbines are widely used for renewable energy generation. This paper has addressed problem of estimating the impact of design parameters on the power output of the Wind Turbine energy generators. In comparison, the wind energy system\'s capacity to generate electricity is restricted. Moreover, designing the ideal relationship between the system\'s inertial torque and energy output is a significant problem. Evaluating the wind system\'s energy vs. torque characteristic is crucial. Paper contributed initially to evaluate and validate the results of wind torque analysis. The wind turbine power equation is tested and evaluated under different wind speeds. As an additional experiment the cut in speed is varied for evaluation of optimal value and its impact. It is found that linear increase in cut in speed exponentially raises the torque output. The respective energy probability distribution is also evaluated for different cut in speeds.

Introduction

Recent research in renewable energy focuses on designing reliable systems, with wind energy becoming a popular, cost-effective source. However, wind and solar energy systems depend heavily on weather conditions, affecting their power output. A key challenge in wind energy is optimizing the relationship between inertial torque and energy output of wind turbines. Wind turbines are sensitive to noise and can experience harmonic distortion in storage systems. Combining solar and wind energy is recommended for off-grid, remote household electricity supply.

Design Challenges:

• Selecting suitable locations with sufficient wind speeds and large installation areas.

• Understanding local weather and air turbulence impacts.

• Optimizing inertial torque based on blade size.

• Determining optimal cut-in wind speed, which is not well researched.

• Considering environmental effects like local fauna impact.

• Adapting to varying climate conditions, since renewable systems alone may not always be sufficient.

Three-blade wind turbines are preferred due to a balance of cost, efficiency, and ease of maintenance, despite more blades potentially capturing more energy.

Applications:
Wind turbines are widely used in water pumping and seed oil production, with the main focus here on electricity generation.

Literature Review Highlights:

• Studies focus on correlations between turbine design and environmental impacts, efficiency optimization, blade pitch, and wind speed characterization.

• Researchers employ various modeling and simulation tools (e.g., MATLAB, HOMER Pro) to analyze turbine performance and optimize design.

• Factors like turbine age, wind variability, and turbine failure rates are considered.

• Methods for improving turbine efficiency and reducing cut-in speeds are explored.

• Wind energy potential assessments are conducted for various regions, including Oman's northern and southern areas.

Methodologies:

• Power curves of wind turbines depend on cut-in, rated, and cut-out wind speeds, which determine operational power range.

• Simulations using MATLAB are performed for optimal parametric selection and maximizing wind system power output.

Conclusion

Wind turbines are a common source of renewable energy. The topic of estimating how design parameters affect wind turbine energy generators\' power output has been the focus of this paper. The wind energy system\'s ability to produce electricity is limited, in contrast. Paper addresses the one of the main challenges as creating the optimal relationship between the system\'s energy output and inertial torque. It is essential to assess the energy vs. torque characteristic of the wind system. In the beginning, the paper helped assess and validate the wind torque analysis results. Various wind speeds are used to test and assess the wind turbine power equation. In an extra experiment, the speed cut is adjusted to assess the ideal value and its effects. It is discovered that a linear rise in cut speed. The maximum energy in kWhis achieved 2.47 for CIS of 10 m/s. The wind speed data ranging from 2 to 25 m/s and the energy probability estimates are calculated for the different cut in speeds ranging from [3, 5, and 10]. It is concluded that the maximum power is attained at 2.0782 MW. The greatest allowable value of C_p(?,?) is 0.48.

References

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Copyright © 2025 Bhoopendra Patel, Dr. H. N. Suresh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.