CFD Simulation on the Flow Inside a Fish Culture Tank
Aquaculture is an important sector for providing a food source. Technology may help the development of aquaculture including in the design of the fluid flow condition beneficial for aquaculture tank design and its operational parameters. In this study, the use of Computational Fluid Dynamics (CFD) to provide local fluid flow information was demonstrated. In the first case, the fluid flow condition generated by two different inlet orientations, namely the straight inlet and the angled inlet was investigated. The significant difference in the fluid flow pattern was observed by the help of the velocity streamlines. In the second case, the transient CFD simulation was used to determine the transient temperature distribution for the two different inlet orientations. The result also shows the significant different in the distribution which closely related to the generated fluid flow by both inlet orientations.
K. Yue and Y. Shen, “An overview of disruptive technologies for aquaculture,” Aquac. Fish., vol. 7, no. 2, pp. 111–120, Mar. 2022, doi: 10.1016/j.aaf.2021.04.009.
T. Gjedrem, N. Robinson, and M. Rye, “The importance of selective breeding in aquaculture to meet future demands for animal protein: A review,” Aquaculture, vol. 350–353, pp. 117–129, Jun. 2012, doi: 10.1016/j.aquaculture.2012.04.008.
P. J. G. Henriksson et al., “Indonesian aquaculture futures – Evaluating environmental and socioeconomic potentials and limitations,” J. Clean. Prod., vol. 162, pp. 1482–1490, Sep. 2017, doi: 10.1016/j.jclepro.2017.06.133.
N. Tran et al., “Indonesian aquaculture futures: An analysis of fish supply and demand in Indonesia to 2030 and role of aquaculture using the AsiaFish model,” Mar. Policy, vol. 79, pp. 25–32, May 2017, doi: 10.1016/j.marpol.2017.02.002.
T. Garlock et al., “Aquaculture: The missing contributor in the food security agenda,” Glob. Food Secur., vol. 32, p. 100620, Mar. 2022, doi: 10.1016/j.gfs.2022.100620.
A. Shepon et al., “Exploring sustainable aquaculture development using a nutrition-sensitive approach,” Glob. Environ. Change, vol. 69, p. 102285, Jul. 2021, doi: 10.1016/j.gloenvcha.2021.102285.
J. Zhang, G. Jia, M. Wang, S. Cao, and S. G. Mkumbuzi, “Hydrodynamics of recirculating aquaculture tanks with different spatial utilization,” Aquac. Eng., vol. 96, p. 102217, Feb. 2022, doi: 10.1016/j.aquaeng.2021.102217.
S. T. Summerfelt, J. W. Davidson, T. B. Waldrop, S. M. Tsukuda, and J. Bebak-Williams, “A partial-reuse system for coldwater aquaculture,” Aquac. Eng., vol. 31, no. 3, pp. 157–181, Oct. 2004, doi: 10.1016/j.aquaeng.2004.03.005.
M. R. Rasmussen and E. McLean, “Comparison of two different methods for evaluating the hydrodynamic performance of an industrial-scale fish-rearing unit,” Aquaculture, vol. 242, no. 1, pp. 397–416, Dec. 2004, doi: 10.1016/j.aquaculture.2004.08.045.
P. Cornejo, H. H. Sepúlveda, M. H. Gutiérrez, and G. Olivares, “Numerical studies on the hydrodynamic effects of a salmon farm in an idealized environment,” Aquaculture, vol. 430, pp. 195–206, Jun. 2014, doi: 10.1016/j.aquaculture.2014.04.015.
J. M. R. Gorle, B. F. Terjesen, and S. T. Summerfelt, “Hydrodynamics of octagonal culture tanks with Cornell-type dual-drain system,” Comput. Electron. Agric., vol. 151, pp. 354–364, Aug. 2018, doi: 10.1016/j.compag.2018.06.012.
ANSYS, “ANSYS CFX-Solver Theory Guide, Release 19.2.” 2019.
F. R. Menter, “Two-equation eddy-viscosity turbulence models for engineering applications,” AIAA J., vol. 32, no. 8, pp. 1598–1605, Aug. 1994, doi: 10.2514/3.12149.