Consideraciones de diseño de una turbina Michell-Banki

Romero, Fredys; Velásquez, Laura; Chica, Edwin

doi:10.18273/revuin.v20n1-2021003

Cited by 2 publications

(2 citation statements)

References 35 publications

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“…Finally, the turbine injector, together with the rotor, determine the efficiency; it oversees guiding the flow towards the rotor, with good acceleration and uniform velocity distribution in the outlet section, as well as a low level of head losses, to achieve the highest possible transformation of potential energy into kinetic energy [21]. There are several geometries of injectors, in the present design the parameters were considered according to [23] Figure . 3 shows the recommendations followed.…”

Section: 𝑃𝑃𝑃𝑃 =mentioning

confidence: 99%

Numerical Study of the Opening Angle Incidence in Michell-Banki Turbine’s Performance without Guide Blades

Capera,

Marín,

Sandoval

2023

JERA

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Technologies that take advantage of alternative sources, such as Michell-Banki turbines, can improve electric power conditions in rural or non-interconnected areas with low environmental impact, but they need to be further studied to better understand their phenomenology and ways to increase their performance. The numerical evaluation of rotors under specific operating conditions results in efficiency curves for the evaluated prototypes such that devices that take full advantage of the flow conditions of a given location are proposed. Considering the above, the main objective of this work was to design the rotor and the injector of a Michell-Banki turbine and to evaluate it numerically for the conditions of 0.24 m3/s and 18 m of head available at a point with potential energy use in the irrigation district Canal Iguá in Huila - Colombia. The design was made following OLADE recommendations, and the simulations were made utilizing computational fluid dynamics, the k- ω turbulence model was used and the torque was monitored, then the GCI and TCI were calculated to establish the numerical uncertainty of the results. Finally, the numerical curves of efficiency versus rotor speed were created. Both the design and simulation results show that the design is feasible for the operating conditions and meets the expectations of serving for the installation of a 20 kW micro-hydroelectric power plant at the site, but the design predicted an atypically high 86.3% efficiency, while the simulation reported an atypically low 51.8%, being 78% the average reported according to OLADE.

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Section: 𝑃𝑃𝑃𝑃 =mentioning

confidence: 99%

Numerical Study of the Opening Angle Incidence in Michell-Banki Turbine’s Performance without Guide Blades

Capera,

Marín,

Sandoval

2023

JERA

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“…Currently, cutting-edge technology is used in industrial processes to tackle different types of problems that arise when working with multiphase flows, covering the food industry, Oil & Gas, thermoelectric plants, among others [1], [2]. There is a need to increase the accuracy in the description and analysis of the multiphase flow phenomena that are presented in these processes [3].…”

Section: Introductionmentioning

confidence: 99%

Modelo predictivo para la identificación de la fracción volumétrica en flujo bifásico

Ruiz-Diaz

Hernández-Cely²,

González‐Estrada

2021

Cienc. En Desarro.

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Este trabajo presenta el uso de inteligencia artificial en flujos multifásicos, implementando una red neuronal artificial de perceptrón multicapa con retropropagación, y utilizando la función de activación tangente sigmoidea, para generar un modelo predictivo capaz de obtener la fracción volumétrica de un flujo bifásico compuesto por agua y aceite mineral en una tubería horizontal de 12 m. La red neuronal artificial se desarrolla a partir de una capa de entrada, formada por el diferencial de presión en la línea y las velocidades superficiales de los fluidos de trabajo, además, tiene dos capas ocultas y una capa de salida, que está formada por las fracciones volumétricas de los fluidos. El modelo predictivo de mejor rendimiento muestra un error medio porcentual absoluto del 3,07 % y un coeficiente de determinación R2 de 0,985 utilizando 15 neuronas en las dos capas ocultas de la red neuronal. Los 56 datos experimentales utilizados en el estudio se obtuvieron en el laboratorio LEMI EESC-USP (Brasil).

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Consideraciones de diseño de una turbina Michell-Banki

Cited by 2 publications

References 35 publications

Numerical Study of the Opening Angle Incidence in Michell-Banki Turbine’s Performance without Guide Blades

Numerical Study of the Opening Angle Incidence in Michell-Banki Turbine’s Performance without Guide Blades

Modelo predictivo para la identificación de la fracción volumétrica en flujo bifásico

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