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• W2225374715 abstract "With the growing focus on renewable energy, there is increased interest in modeling and optimizing current energy capture (CEC) devices. The interaction of multiple wakes from CEC devices can affect optimal placement strategy, and issues of environmental impacts on sediment transport and large-scale flow should be examined. Numerical models of four flume-scale experiments were built using Sandia National Laboratories’ Environmental Fluid Dynamics Code (SNL-EFDC.) Model predictions were calibrated against measured velocities to estimate flow and turbine parameters. The velocity deficit was sensitive to αmd, the dimensionless Smagorinsky constant related to horizontal momentum diffusion, as well as the k-e turbulence parameters. Calibration to four data sets showed αmd ranged from 0.01 to 1.2 and KV ranged from 0.003 to 0.01 m 2 /s while turbulence parameters differed depending on the device being modeled. Furthermore, results of parameter estimation indicated centerline velocity data were insufficient to uniquely identify the turbulence, flow, and device parameters; cross-channel velocity measurements at multiple locations downstream yielded important calibration information and it is likely that vertical velocity profiles would also be useful to the calibration effort. In addition to flume scale models, a full-scale implementation of a CEC device at Roza Canal in Yakima, WA was developed. The model was analyzed to understand the sensitivity of downstream velocity profiles to horizontal momentum diffusion and partial blockage coefficients. Preliminary results generally showed that as turbulence parameters increased the wake was enhanced vertically." @default.
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• W2225374715 date "2015-05-14" @default.
• W2225374715 modified "2023-09-26" @default.
• W2225374715 title "Validating and Applying SNL-EFDC to Current Energy Capture Devices Simulation" @default.
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• W2225374715 doi "https://doi.org/10.1061/9780784479162.135" @default.
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