Journal ArticleDOI
Review of power curve modelling for wind turbines
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TLDR
In this article, a review of the equations commonly used to represent the power curves of variable speed wind turbine generators (VSWTs) is carried out, which shows that the exponential and cubic approximations give the higher R 2 values and the lower error in energy estimation.Abstract:
Currently, variable speed wind turbine generators (VSWTs) are the type of wind turbines most widely installed. For wind energy studies, they are usually modelled by means the approximation of the manufacturer power curve using a generic equation. In literature, several expressions to do this approximation can be found; nevertheless, there is not much information about which is the most appropriate to represent the energy produced by a VSWT. For this reason, in this paper, it is carried out a review of the equations commonly used to represent the power curves of VSWTs: polynomial power curve, exponential power curve, cubic power curve and approximate cubic power curve. They have been compared to manufacturer power curves by using the coefficients of determination, as fitness indicators, and by using the estimation of energy production. Data gathered from nearly 200 commercial VSWTs, ranging from 225 to 7500 kW, has been used for this analysis. Results of the analysis presented in the paper show that exponential and cubic approximations give the higher R 2 values and the lower error in energy estimation. With the approximate cubic power curve quite high values of R 2 and low errors in energy estimation are achieved, which makes this kind of approximation very interesting due to its simplicity. Finally, the polynomial power curve shows the worst results mainly due to its sensitivity to the data given by the manufacturer.read more
Citations
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Integrated Resource Mapping of Wave and Wind Energy
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Proceedings ArticleDOI
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Wind Turbine Multivariate Power Modeling Techniques for Control and Monitoring Purposes
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Real-time rolling bearing power loss in wind turbine gearbox modeling and prediction based on calculations and artificial neural network
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References
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TL;DR: This paper presents convergence properties of the Nelder--Mead algorithm applied to strictly convex functions in dimensions 1 and 2, and proves convergence to a minimizer for dimension 1, and various limited convergence results for dimension 2.
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Wind Power in Power Systems
TL;DR: In this article, the authors focus on the generation of electricity from clean and renewable sources, and show that wind energy has become the world's fastest growing energy source, and that renewable energy is the most promising energy source.
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Wind energy explained : theory, design, and application
TL;DR: In this article, a simplified HAWT rotor performance calculation procedure was proposed to evaluate the effect of drag and blade number on the optimum performance of wind turbine rotor performance, considering the Betz limit and the ideal horizontal axis wind turbine with wake rotation.
Journal ArticleDOI
Wind energy explained: Theory, Design, and application [Book Review]
S.S. Venkata,S. Krishnamurthy +1 more
TL;DR: Manwell, Manwell, McGowan, and Rogers as discussed by the authors provide a thorough and highly accessible introduction to the cross-disciplinary field of wind energy engineering, including the theory, design, and application.
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Wind Energy: Fundamentals, Resource Analysis and Economics
TL;DR: In this article, the authors discuss the performance of wind energy conversion systems and the economic and environmental impact of wind power conversion systems in terms of energy efficiency and renewable energy sources, as well as wind energy and environment.