A neural network approach to enhance blade element momentum theory performance for horizontal axis hydrokinetic turbine application

Abutunis, Abdulaziz; Hussein, Rafid; Chandrashekhara, K.

doi:10.1016/j.renene.2018.09.105

Cited by 24 publications

(6 citation statements)

References 25 publications

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“…Kim et al [32] evaluated the performance of two BEM theory techniques by comparing the results with CFD simulation at various unsteady turbulent intensities. Abutunis et al [33] integrated BEM theory into optimization techniques to improve the convergence. Vogel et al [34] extend BEM theory to account for flow blockage.…”

Section: Validate Bem Methods Against Cfdmentioning

confidence: 99%

Review on validation techniques of blade element momentum method implemented in wind turbines

Abdelkhalig

Elgendi

Selim

2022

IOP Conf. Ser.: Earth Environ. Sci.

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There are two broad kinds of energy sources: renewable and non-renewable. In the renewable energy sector, significant advancements have been made in wind energy, the world’s fastest-growing renewable energy production technology. Despite this rapid development, the wind industry must still strive to ensure that any device designed for commercial use is reliable and its performance satisfies its economic projections. The critical factor in achieving this target is rotor aerodynamics because the rotor is the part that mainly reacts with the wind. When designing a wind turbine, the assessment of the aerodynamic characteristics of the blades must be accurate. Errors may result in wrong estimates of the turbines’ performance and economic projections. If experimental measurements cannot determine these characteristics, a designer will use alternative methods. Several modeling methods have proven viable solutions for design and analysis purposes, like Blade Element Momentum (BEM) methods. BEM methods analyze the aerodynamic performance of wind turbines, but it requires validation to examine the accuracy of its results. This paper highlights and reviews BEM validation techniques implemented in wind turbine aerodynamics analyses. BEM is validated against experimental data and other advanced models, namely, higher-order vortex and CFD (Computational Fluid Dynamics) models. Nevertheless, the experimental data are essential in wind turbine studies for both understanding the aerodynamic mechanisms and validating all these models.

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Section: Validate Bem Methods Against Cfdmentioning

confidence: 99%

Review on validation techniques of blade element momentum method implemented in wind turbines

Abdelkhalig

Elgendi

Selim

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Debe mencionarse que este enfoque ha sido utilizado por otros autores para el análisis de perfiles aerodinámicos e hidrodinámicos. En la presente investigación, se utilizó este esquema con el fin de reducir el tiempo computacional durante la simulación [27,28,[33][34][35].…”

Section: Simulación Numéricaunclassified

Cavitación en perfiles hidrodinámicos para turbinas hidrocinéticas

et al. 2021

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La resistencia a la cavitación es un requerimiento importante en el diseño de turbinas hidrocinéticas para aplicaciones marinas o fluviales dado que se ha demostrado que la cavitación puede contribuir al desgaste, corrosión, vibración y fatiga de los álabes de la turbina. La presencia de cavitación en los álabes puede conducir a la disminución del rendimiento de la turbina y la reducción de su vida útil. Por lo tanto, es fundamental incluir un estudio de cavitación en el análisis y desarrollo de los sistemas hidrocinéticos. En este trabajo, se presentan los elementos a tener en cuenta en un estudio de cavitación de los álabes de las turbinas hidrocinéticas. Como criterio para determinar la ocurrencia de cavitación, se presentó la comparación entre la distribución del coeficiente de presión ( ) sobre el perfil hidrodinámico Eppler 420 y el número de cavitación ( ). El fue calculado mediante simulación numérica usando el software Ansys Fluent. Los resultados mostraron que el perfil hidrodinámico Eppler 420 podría ser empleado para el diseño de los álabes de turbinas hidrocinéticas.

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“…Full resolution simulations of the rotor geometry, however, are case-specific to the turbine design, and they have a high computational cost [21], especially in cases that involve multiple devices. Alternative strategies are thus used to parameterize the turbines, such as the actuator disk models (ADM) [22][23][24], blade element momentum models (BEM) [25][26][27], or actuator lines models (ALM) [28,29]. It is thus important to define the scientific question that motivates the development of the model to determine the level of detail required for the specific modeling approach.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Investigation of Wake Interactions of Marine Hydrokinetic Turbines

et al. 2019

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To study the performance and environmental impacts of marine hydrokinetic (MHK) turbine arrays, we carry out an investigation based on laboratory experiments and numerical models able to resolve the dynamics of turbulent wake interactions and their effects on the river bed. We investigate a scaled Sabella D10 mounted on a mobile bed for a single and two aligned turbines, measuring the flow velocity, the rotor angular velocity, and the scour on the sediment bed. Numerical simulations are performed using a detached-eddy simulation (DES) turbulence model coupled with the blade-element momentum (BEM) approach, which can capture the mean flow and resolve the dynamics of turbulent coherent structures in the wakes. The simulations show a good agreement on the velocity statistics obtained experimentally. Power and thrust coefficients for the downstream turbine show an average decrease and a larger variability due to the turbulent intensity produced by the upstream turbine, as compared to the single turbine case. Results of this investigation also provide a framework to assess the predictive capabilities, scope, and applicability of computational models parameterizing the turbines using BEM, for testing different turbine designs and siting strategies within the MHK array.

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A neural network approach to enhance blade element momentum theory performance for horizontal axis hydrokinetic turbine application

Cited by 24 publications

References 25 publications

Review on validation techniques of blade element momentum method implemented in wind turbines

Review on validation techniques of blade element momentum method implemented in wind turbines

Cavitación en perfiles hidrodinámicos para turbinas hidrocinéticas

Experimental and Numerical Investigation of Wake Interactions of Marine Hydrokinetic Turbines

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