The transport of suspended sediment in the wake of a marine hydrokinetic turbine: Simulations via a validated Discrete Random Walk (DRW) model

Javaherchi, Teymour; Aliseda, Alberto

doi:10.1016/j.oceaneng.2016.10.039

Title: The transport of suspended sediment in the wake of a marine hydrokinetic turbine: Simulations via a validated Discrete Random Walk (DRW) model

Journal Article · Sat Nov 05 00:00:00 EDT 2016 · Ocean Engineering

DOI:https://doi.org/10.1016/j.oceaneng.2016.10.039· OSTI ID:1534206

Javaherchi, Teymour ^[1]; Aliseda, Alberto ^[1]

Univ. of Washington, Seattle, WA (United States). Dept. of Mechanical Engineering

The interaction of sediment with Marine Hydrokinetic (MHK) Turbines is studied via turbulent flow simulation coupled with a model for particle dynamics. The Discrete Random Walk (DRW) model is commonly used for simulations of particle dispersion in environmental flows. A method to improve the accuracy of the DRW model in conjunction with RANS simulations of the flow around MHK turbines is presented. A key issues for the use of the DRW model in marine applications is identified, finding the right characteristic eddy lifetime scale, and a simple methodology based on G.I. Taylor's classical dispersion theory is develop to calibrate this physical model parameter. The model is validated against experiments in the literature and the physics of suspended sediment transport in the wake of an MHK turbine is studied with this improved method. The qualitative changes observed in the particle trajectories agree well with theoretical and empirical observations and the quantitive trends allow for comparison of multiple particle cases under different flow conditions, confirming that this implementation of CFD can become a powerful tool to select the most challenging cases, among the thousands of potential studies on the environmental effects of MHK energy, for further study with experiments and pilot projects.

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Research Organization:: Oregon State Univ., Corvallis, OR (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office

Grant/Contract Number:: FG36-08GO18179

OSTI ID:: 1534206

Alternate ID(s):: OSTI ID: 1416665

Journal Information:: Ocean Engineering, Vol. 129; ISSN 0029-8018

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 12 works

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References (17)

Lagrangian Stochastic-Deterministic (LSD) Predictions of Particle Dispersion in Turbulence Milojevié, Dragoslav Particle & Particle Systems Characterization, Vol. 7, Issue 1-4 https://doi.org/10.1002/ppsc.19900070132	journal	January 1990
The effects of crossing trajectories on the dispersion of particles in a turbulent flow Wells, M. R.; Stock, D. E. Journal of Fluid Mechanics, Vol. 136, Issue -1 https://doi.org/10.1017/S0022112083002049	journal	November 1983
A Lagrangian particle random walk model for hybrid RANS/LES turbulent flows Rybalko, Michael; Loth, Eric; Lankford, Dennis Powder Technology, Vol. 221 https://doi.org/10.1016/j.powtec.2011.12.042	journal	May 2012
Deposition of liquid or solid dispersions from turbulent gas streams: a stochastic model Hutchinson, P.; Hewitt, G. F.; Dukler, A. E. Chemical Engineering Science, Vol. 26, Issue 3 https://doi.org/10.1016/0009-2509(71)83016-6	journal	March 1971
Grit Removal from Wastewater Using Secondary Currents in Open-Channel Flow around Bends Patel, Titiksh; Gill, Laurence; Faram, Michael G. Journal of Environmental Engineering, Vol. 137, Issue 11 https://doi.org/10.1061/(ASCE)EE.1943-7870.0000400	journal	November 2011
Modeling particle dispersion in a turbulent, multiphase mixing layer Coimbra, C. F. M.; Shirolkar, J. S.; Queiroz McQuay, M. Journal of Wind Engineering and Industrial Aerodynamics, Vol. 73, Issue 1 https://doi.org/10.1016/S0167-6105(97)00131-1	journal	January 1998
Particle-laden turbulent flows: direct simulation and closure models Elghobashi, S. Applied Scientific Research, Vol. 48, Issue 3-4 https://doi.org/10.1007/BF02008202	journal	October 1991
Eulerian and Lagrangian approaches for predicting the behaviour of discrete particles in turbulent flows Gouesbet, G.; Berlemont, A. Progress in Energy and Combustion Science, Vol. 25, Issue 2 https://doi.org/10.1016/S0360-1285(98)00018-5	journal	April 1999
Experimental investigation and CFD modelling of flow, sedimentation, and solids separation in a combined sewer detention tank Dufresne, Matthieu; Vazquez, José; Terfous, Abdelali Computers & Fluids, Vol. 38, Issue 5 https://doi.org/10.1016/j.compfluid.2008.01.011	journal	May 2009
Aspects of Computer Simulation of Liquid-Fueled Combustors Gosman, A. D.; loannides, E. Journal of Energy, Vol. 7, Issue 6 https://doi.org/10.2514/3.62687	journal	November 1983
Modelling and predicting turbulence fields and the dispersion of discrete particles transported by turbulent flows Picart, A.; Berlemont, A.; Gouesbet, G. International Journal of Multiphase Flow, Vol. 12, Issue 2 https://doi.org/10.1016/0301-9322(86)90028-5	journal	March 1986
The Interaction of Solid or Liquid Particles and Turbulent Fluid Flow Fields—A Numerical Simulation Brown, D. J.; Hutchinson, P. Journal of Fluids Engineering, Vol. 101, Issue 2 https://doi.org/10.1115/1.3448949	journal	June 1979
Some measurements of particle velocity autocorrelation functions in a turbulent flow Snyder, W. H.; Lumley, J. L. Journal of Fluid Mechanics, Vol. 48, Issue 1 https://doi.org/10.1017/S0022112071001460	journal	July 1971
Particle deposition in turbulent duct flows—comparisons of different model predictions Tian, Lin; Ahmadi, Goodarz Journal of Aerosol Science, Vol. 38, Issue 4 https://doi.org/10.1016/j.jaerosci.2006.12.003	journal	April 2007
Hot syngas filtration in the freeboard of a fluidized bed gasifier: Development of a CFD model Di Carlo, Andrea; Foscolo, Pier Ugo Powder Technology, Vol. 222 https://doi.org/10.1016/j.powtec.2012.02.019	journal	May 2012
Equation of motion for a small rigid sphere in a nonuniform flow Maxey, Martin R. Physics of Fluids, Vol. 26, Issue 4 https://doi.org/10.1063/1.864230	journal	January 1983
Computational modeling of flow and sediment transport and deposition in meandering rivers Shams, Mehrzad; Ahmadi, Goodarz; Smith, Duane H. Advances in Water Resources, Vol. 25, Issue 6 https://doi.org/10.1016/S0309-1708(02)00034-9	journal	June 2002

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54 ENVIRONMENTAL SCIENCES
Discrete Random Walk (DRW)
particle dispersion
simulation of suspended sediment transport
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Marine Hydrokinetic Turbine (MHK)
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Title: The transport of suspended sediment in the wake of a marine hydrokinetic turbine: Simulations via a validated Discrete Random Walk (DRW) model

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