Abstract
The present research focused on the simulation of the storage tank of the Illuchi power plant, using OpenFOAM open source software. It began with photogrammetry by drone to survey the geometry of the water storage structure, then it was modeled by computer-aided design (CAD) software for export in STL file, thus being able to use the snappyHexMeshDict tool in the generation of the internal meshing of the flow in addition to the interFoam solver for incompressible fluids and the Reynolds Averaged Navier-Stokes (RANS) method to solve the equations of conservation of mass, energy and quantity of momentum in multiphase flow. By obtaining an optimal mesh of the geometry, it was possible to reproduce the turbulence with the k-\(\epsilon \) RNG model, which approximately represented the phenomenon of turbulence in the tanks. ParaView and Gnuplot were used for the visualization and analysis of the results for their respective validation with experimental values. Finally, after 594 h of computer processing, global results of the reproduction of the phenomenon of the experimental part were obtained with an error of 5.44% in the numerical part for the Illuchi plant with respect to the measurement of flows at the outlets of the pressure pipes, obtaining flow characteristics that could be captured in the simulation.
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References
Balance Nacional de Energía Eléctrica - Agencia de Regulación y Control de Energía y Recursos Naturales no Renovables, https://www.controlrecursosyenergia.gob.ec/balance-nacional-de-energia-electrica/. Accessed 01 Mar 2023
Plan de Creación de Oportunidades 2021–2025 de Ecuador. https://observatorioplanificacion.cepal.org/es/planes/plan-de-creacion-de-oportunidades-2021-2025-de-ecuador. Accessed 15 Feb 2023
Moreno, J., Monteagudo, M.: Influencia de los embalses sobre el régimen fluvial en los Pirineos Centrales, vol. 29, pp. 7–22 (2013). https://doi.org/10.18172/cig.1055
Hu, H.H.: Computational fluid dynamics. In: Fluid Mechanics, pp. 421–472 (2012). https://doi.org/10.1016/b978-0-12-382100-3.10010-1
Li, H., Spelman, D., Sansalone, J.J.: Baffled clarification basin hydrodynamics and elution in a continuous time domain. J. Hydrol. 595, 125958 (2021). https://doi.org/10.1016/j.jhydrol.2021.125958
Grivalszki, P., Fleit, G., Baranya, S., Józsa, J.: Assessment of CFD model performance for flows around a hydraulic structure of complex geometry. Periodica Polytechnica Civ. Eng. 65, 109–119 (2020). https://doi.org/10.3311/ppci.16709
Chen, G., Xiong, Q., Morris, P.J., Paterson, E.G., Sergeev, A., Wang, Y.-C.: OpenFOAM for computational fluid dynamics. Not. Am. Math. Soc. 61, 354 (2014). https://doi.org/10.1090/noti1095
Graham M., Floryan D.: Exact coherent states and the nonlinear dynamics of wall-bounded turbulent flows. Ann. Rev. Fluid Mech. 53(1), 1–27 (2020). https://www.annualreviews.org/doi/10.1146/annurev-fluid-051820-020223
Arturo, J., Daniel Alvear Portilla, Víctor, O.: Influencia del modelo de turbulencia y del refinamiento de la discretización espacial en la exactitud de las simulaciones computacionales de incendios. Métodos numéricos para cálculo y diseño en ingeniería: Revista internacional. 24, 227–246 (2023)
Lande, A.M.: Complex Mesh Generation with OpenFOAM. https://openarchive.usn.no/usn-xmlui/handle/11250/2774694. Accessed 3 Mar 2023
Woodget, A., Austrums, R., Maddock, I., Habit, E.: Drones and digital photogrammetry: from classifications to continuums for monitoring river habitat and hydromorphology. WIREs Water 4, e1222 (2017). https://doi.org/10.1002/wat2.1222
Nakhchi, M.E.: Experimental optimization of geometrical parameters on heat transfer and pressure drop inside sinusoidal wavy channels. Therm. Sci. Eng. Prog. 9, 121–131 (2019). https://doi.org/10.1016/j.tsep.2018.11.006
Ramírez, R.E., Ávila, E.E., Lopez, L., Bula, A., Forero, J.D.: CFD characterization and optimization of the cavitation phenomenon in dredging centrifugal pumps. Alexandria Eng. J. 59, 291–309 (2020). https://doi.org/10.1016/j.aej.2019.12.041
Gärtner, J., Kronenburg, A., Martin, T.: Efficient WENO library for OpenFOAM. SoftwareX 12, 100611 (2020). https://doi.org/10.1016/j.softx.2020.100611
Hidalgo, V., et al.: Cavitating flow simulation with mesh development using Salome open source software. In: Proceedings of the 11th International Conference on Hydrodynamics, pp. 400–405 (2014)
Wilcox D.: Turbulence-Modeling-for-CFD. DCW Industries (2006)
Sava, O., et al.: Simulacíon numérica del flujo en una tobera y del flujo supersónico de descarga con ANSYS fluent (2021)
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Achig, R.S., Hidalgo, V., Simbaña, S., Gavilanes, J. (2024). Simulation of the Flow Behavior in the Storage Tank of a Hydropower Using OpenFOAM. In: Salgado-Guerrero, J.P., Vega-Carrillo, H.R., García-Fernández, G., Robles-Bykbaev, V. (eds) Systems, Smart Technologies and Innovation for Society. CITIS 2023. Lecture Notes in Networks and Systems, vol 871. Springer, Cham. https://doi.org/10.1007/978-3-031-52090-7_16
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