A Review on the Estimation of Power Loss Due to Icing in Wind Turbines

Montoya, Leidy Tatiana Contreras; Laı́n, Santiago; Ilinca, Adrian

doi:10.3390/en15031083

Cited by 23 publications

(25 citation statements)

References 62 publications

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“…(BEM). There is also a short overview of other methodologies, including deep learning, image analysis, and forecasting models [2].…”

Section: Lain S Contreras Montoya and Ilinca A Review Of The Calculat...mentioning

confidence: 99%

Prediction of Power Generation in Wind Turbines

Rao¹,

Teja²,

vamsi³

et al. 2023

IJSREM

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Wind energy is a promising alternative source of clean and renewable energy that can help mitigate climate change. Accurate prediction of power generation in wind turbines is critical for the effective integration of wind energy into the power grid. In this study, we compare the performance of two popular machine learning algorithms, linear regression and random forest, for power generation prediction in wind turbines. We use wind speed and direction as input variables and power generation as the output variable. Our results show that random forest outperforms linear regression in terms of prediction accuracy and robustness. Key Words: Power Generation, wind turbines, Random forest, power prediction, wind power, machine learning

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“…(BEM). There is also a short overview of other methodologies, including deep learning, image analysis, and forecasting models [2].…”

Section: Lain S Contreras Montoya and Ilinca A Review Of The Calculat...mentioning

confidence: 99%

Prediction of Power Generation in Wind Turbines

Rao¹,

Teja²,

vamsi³

et al. 2023

IJSREM

View full text Add to dashboard Cite

show abstract

“…To address this problem, the authors proposed an advanced ice-protection control technique for the super-large WTS. Furthermore, in [49], the authors presented a comprehensive review of ice protection schemes and their characteristics in the super-large WTS. On the other hand, the effect of temperature and humidity significantly impact wind speed, leading to a 20%∼30% decrease in aerodynamic power [50].…”

Section: Aerodynamic Power Extraction Challenges In Super-large Wtsmentioning

confidence: 99%

A Review of Recent Aerodynamic Power Extraction Challenges in Coordinated Pitch, Yaw, and Torque Control of Large-Scale Wind Turbine Systems

et al. 2022

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As the impacts of environmental change become more severe, reliable and sustainable power generation and efficient aerodynamic power collection of onshore and offshore wind turbine systems present some of the associated key issues to address. Therefore, this review article aims to present current advances and challenges in the aerodynamic power extraction of wind turbines, associated supporting technologies in pitch, yaw, and torque control systems, and their advantages and implications in the renewable energy industry under environmental challenges. To do this, first, mathematical modeling of the environmental characteristics of the wind turbine system is presented. Next, the latest technological advances consider the environmental challenges presented in the literature, and merits and drawbacks are discussed. In addition, pioneering research works and state-of-the-art methodologies are categorized and evaluated according to pitch, yaw, and torque control objectives. Finally, simulation results are presented to demonstrate the impact of environmental issues, improvement claims, findings, and trade-offs of techniques found in the literature on super-large wind turbine systems. Thus, this study is expected to lay the groundwork for future intensive efforts to better understand the performance of large-scale wind turbine systems in addressing environmental issues.

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“…In the above equations, the terms 𝑤𝑤 𝑡𝑡 is the winding thickness in m, 𝑅𝑅 𝑟𝑟 is the radius of the rotor in m and 𝑃𝑃 𝑎𝑎𝑎𝑎 is the mechanical air gap in m and pi is the constant value of 3.14. [19] By using equations 2 and 3, the motor electrical loss due to resistance is calculated.…”

Section: • 𝑘𝑘 𝑒𝑒mentioning

confidence: 99%

Optimized geometry parameters of PMBLDC motor using Hybrid moth flame

Chandran¹,

Mylsamy²,

Umapathy³

2022

Preprint

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PMBLDC motor is a type of brushless motor with a permanent magnet as a rotor material. Its main advantage is high efficiency and high lifetime due to less friction in the operation. Its efficiency can be improved further by the proper selection of BLDC motor design. Based on that, in the existing approach, the finite element analysis (FEA) is carried out using software for finding the stator material and the number of turns. This approach provides the optimal stator material with fixed turns as PMBLDC motor design. But in this, the analysis is carried out only for the two numbers of turns only. Hence, in this, a hybrid optimization approach is proposed for designing the PMBLDC motor. The hybrid optimization selects the pole pairs, thickness winding, and other PMBLDC parameters by minimizing the power loss of the motor. To perform this, here, the moth flame and Cauchy particle swarm optimization are used to determine the optimal PMBLDC parameters using MATLAB R2020b version under a windows 10 environment. The proposed method's performance will be compared with the existing in terms of torque and power loss.

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A Review on the Estimation of Power Loss Due to Icing in Wind Turbines

Cited by 23 publications

References 62 publications

Prediction of Power Generation in Wind Turbines

Prediction of Power Generation in Wind Turbines

A Review of Recent Aerodynamic Power Extraction Challenges in Coordinated Pitch, Yaw, and Torque Control of Large-Scale Wind Turbine Systems

Optimized geometry parameters of PMBLDC motor using Hybrid moth flame

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