Modelación numérica de la descarga térmica de la Central Nucleoeléctrica Laguna Verde

Ramírez-León, Hermilo; Couder-Castañeda, Carlos; Herrera-Díaz, Israel E.; Barrios-Piña, Héctor

doi:10.1016/j.rimni.2013.04.002

Cited by 11 publications

(8 citation statements)

References 10 publications

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“…Ramírez-León et al [42] compared the results against other similar models, achieving good agreement. The thermal plume dispersion of the Laguna Verde Nuclear Power Plant, located in Mexico, was also studied by using the present numerical model, with the results shown in [43]. Rodríguez et al [44] applied the numerical model to predict two types of island wakes, and the results showed good agreement with the experiments.…”

Section: Numerical Modelmentioning

confidence: 67%

Multilayer Numerical Modeling of Flows through Vegetation Using a Mixing-Length Turbulence Model

Barrios-Piña¹,

Ramírez-León

Rodríguez-Cuevas

et al. 2014

Water

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This work focuses on the effects of vegetation on a fluid flow pattern. In this numerical research, we verify the applicability of a simpler turbulence model than the commonly used k-ε model to predict the mean flow through vegetation. The novel characteristic of this turbulence model is that the horizontal mixing-length is explicitly calculated and coupled with a multi-layer approach for the vertical mixing-length, within a general three-dimensional eddy-viscosity formulation. This mixing-length turbulence model has been validated in previous works for different kinds of non-vegetated flows. The hydrodynamic numerical model used for simulations is based on the Reynolds-averaged Navier-Stokes equations for shallow water flows, where a vegetation shear stress term is considered to reproduce the effects of drag forces on flow. A second-order approximation is used for spatial discretization and a semi-implicit Lagrangian-Eulerian scheme is used for time discretization. In order to validate the numerical results, we compare them against experimental data reported in the literature. The comparisons are carried out for two cases of study: submerged vegetation and submerged and emergent vegetation, both within an open channel flow.

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Section: Numerical Modelmentioning

confidence: 67%

Multilayer Numerical Modeling of Flows through Vegetation Using a Mixing-Length Turbulence Model

Barrios-Piña¹,

Ramírez-León

Rodríguez-Cuevas

et al. 2014

Water

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“…Un comportamiento similar fue reportado por Jiménez-Illescas (1996) En un estudio similar Gaviño & Fernández (1987), utilizaron un modelo Hidrodinámico barotrópico bidimensional para predecir las corrientes inducidas por la marea y viento, el modelo se adaptó, estructuró y resolvió de acuerdo a las condiciones propias de la albufera Barra de Navidad y a las ecuaciones de momento y continuidad, ya que simula el movimiento de partículas de un flujo con la misma densidad. Dicho modelo también fue utilizado por Ramírez- León et al (2013) quienes obtuvieron la simulación de la descarga de la Planta Termo Nuclear de Laguna Verde, en el Estado de Veracruz, con el objetivo de conocer el comportamiento de las plumas térmicas en las aguas costeras.…”

Section: Discussionunclassified

Modelo hidrodinámico en el Sistema Lagunar Navachiste, Guasave, Sinaloa, México

Sánchez-Lindoro

Jiménez-Illescas

Espinosa-Carreón

et al. 2019

Rev. biol. mar. oceanogr.

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Abstract.-The Navachiste Lagoon System is connected to the Gulf of California (GC) via 3 tidal channels. The system has an area of approximately 301 km 2 , with an average depth of 2.5 m and an average tide height of 1.5 m. In order to simulate tidal currents and the effect of wind, a numerical hydrodynamic model was applied, integrated in the vertical and in finite differences; to calibrate the model, lagrangean measurements were made and compared with simulated currents in the tidal channels of the system. The model simulates the hydrodynamic behavior of the lagoon system and has a correlation higher than 85% with the trajectories traced by the drift bodies and with the maximum Eulerian velocities measured in the internal channels and in the mouths of the system. Resumen.-El Sistema Lagunar Navachiste se encuentra conectado con el Golfo de California (GC) a través de 3 canales de marea. El sistema cuenta con un área de 301 km 2 aproximadamente, con una profundidad promedio de 2,5 m y una altura de mareas promedio de 1,5 m. Para simular las corrientes de mareas y el efecto del viento se aplicó un modelo hidrodinámico numérico barótropico, integrado en la vertical y en diferencias finitas; para calibrar el modelo se hicieron mediciones lagrangeanas y se compararon con las corrientes simuladas en los canales de marea del sistema. El modelo simula el comportamiento hidrodinámico del sistema lagunar y presenta una correlación superior al 85% con las trayectorias trazadas por los cuerpos de deriva y con las velocidades máximas eulerianas medidas en los canales internos y en las bocas del sistema.Palabras clave: Corrientes de marea, lagunas costeras, simulación de corrientes, modelo hidrodinámico numérico, Sistema Lagunar San Ignacio -Navachiste -Macapule

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“…The case study is the thermal plume emitted by the Laguna Verde nuclear power plant (LVNPP), the only nuclear power plant in Mexico. Few studies have analyzed the environmental impacts and plume recirculation of LVNPP discharge [26][27][28]. To advance the knowledge of how such thermal discharge behaves, the main objective of this paper is to analyze LVNPP plume dispersion with the RS technique for different climate scenarios.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Thermal Plume Dispersion into the Sea by Remote Sensing and Numerical Modeling

Laguna-Zarate

Barrios-Piña

Ramírez-León

et al. 2021

JMSE

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The aim of this work was to study, by remote sensing and numerical modeling, the thermal dispersion of a plume discharged into the sea by a nuclear power plant. The case study is the thermal discharge of the Laguna Verde nuclear power plant, located on the coast of the Gulf of Mexico. First, the thermal plume dispersion was characterized by applying remote sensing for different scenarios. Afterwards, Delft3D-FLOW numerical simulations were performed to expand the analysis of the thermal processes for a case in which the thermal plume tends towards the intake of the power plant. This thermal analysis was carried out by comparing the behavior of different dimensionless parameters. Moreover, the results of the numerical simulations were used to investigate the performance of the AEM and the k-L and k-ε turbulence models, available in the Delft3D-FLOW model. An LES turbulence model contribution was also analyzed. The results show that forced convection is predominant near the plume discharge area and at the vicinity of the intake structure. According to the metrics calculated, all turbulence models produced good agreement with the remote sensing data, except when the LES scheme was considered. Finally, the use of remote sensing and numerical simulations is helpful to better understand thermal plume dispersion.

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Modelación numérica de la descarga térmica de la Central Nucleoeléctrica Laguna Verde

Cited by 11 publications

References 10 publications

Multilayer Numerical Modeling of Flows through Vegetation Using a Mixing-Length Turbulence Model

Multilayer Numerical Modeling of Flows through Vegetation Using a Mixing-Length Turbulence Model

Modelo hidrodinámico en el Sistema Lagunar Navachiste, Guasave, Sinaloa, México

Analysis of Thermal Plume Dispersion into the Sea by Remote Sensing and Numerical Modeling

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