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Title: RANS Simulation VBM of Array of Three Coaxial Lab Scaled DOE RM1 MHK Turbine with 5D Spacing

Abstract

Attached are the .cas and .dat files along with the required User Defined Functions (UDFs) and look-up table of lift and drag coefficients for the Reynolds Averaged Navier-Stokes (RANS) simulation of three coaxially located lab-scaled DOE RM1 turbine implemented in ANSYS FLUENT CFD-package. The lab-scaled DOE RM1 is a re-design geometry, based of the full scale DOE RM1 design, producing same power output as the full scale model, while operating at matched Tip Speed Ratio values at reachable laboratory Reynolds number (see attached paper). In this case study the flow field around and in the wake of the lab-scaled DOE RM1 turbines in a coaxial array is simulated using Blade Element Model (a.k.a Virtual Blade Model [VBM]) by solving RANS equations coupled with k-\omega turbulence closure model. It should be highlighted that in this simulation the actual geometry of the rotor blade is not modeled. The effect of turbine rotating blades are modeled using the Blade Element Theory. This simulation provides an accurate estimate for the performance of each device and structure of their turbulent far wake. The results of these simulations were validated against the developed in-house experimental data. Simulations for other turbine configurations are available upon request.

Authors:
Publication Date:
Other Number(s):
116
DOE Contract Number:  
GO18179
Product Type:
Dataset
Research Org.:
Marine and Hydrokinetic Data Repository (MHKDR); Univ. of Washington, Seattle, WA (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Subject:
16 Tidal and Wave Power
Keywords:
MHK; Marine; Hydrokinetic; energy; power; CFD; RANS; Simulation; VBM; Blade Element Model; Array of MHK Turbines; Performance; computational fluid dynamics; numerical; analysis; modeling; RM1; reference model; technology; horizontal; axis; axial; turbine; rotor; HAHT
OSTI Identifier:
1420432
DOI:
10.15473/1420432

Citation Formats

Javaherchi, Teymour. RANS Simulation VBM of Array of Three Coaxial Lab Scaled DOE RM1 MHK Turbine with 5D Spacing. United States: N. p., 2016. Web. doi:10.15473/1420432.
Javaherchi, Teymour. RANS Simulation VBM of Array of Three Coaxial Lab Scaled DOE RM1 MHK Turbine with 5D Spacing. United States. doi:10.15473/1420432.
Javaherchi, Teymour. 2016. "RANS Simulation VBM of Array of Three Coaxial Lab Scaled DOE RM1 MHK Turbine with 5D Spacing". United States. doi:10.15473/1420432. https://www.osti.gov/servlets/purl/1420432. Pub date:Wed Jun 08 00:00:00 EDT 2016
@article{osti_1420432,
title = {RANS Simulation VBM of Array of Three Coaxial Lab Scaled DOE RM1 MHK Turbine with 5D Spacing},
author = {Javaherchi, Teymour},
abstractNote = {Attached are the .cas and .dat files along with the required User Defined Functions (UDFs) and look-up table of lift and drag coefficients for the Reynolds Averaged Navier-Stokes (RANS) simulation of three coaxially located lab-scaled DOE RM1 turbine implemented in ANSYS FLUENT CFD-package. The lab-scaled DOE RM1 is a re-design geometry, based of the full scale DOE RM1 design, producing same power output as the full scale model, while operating at matched Tip Speed Ratio values at reachable laboratory Reynolds number (see attached paper). In this case study the flow field around and in the wake of the lab-scaled DOE RM1 turbines in a coaxial array is simulated using Blade Element Model (a.k.a Virtual Blade Model [VBM]) by solving RANS equations coupled with k-\omega turbulence closure model. It should be highlighted that in this simulation the actual geometry of the rotor blade is not modeled. The effect of turbine rotating blades are modeled using the Blade Element Theory. This simulation provides an accurate estimate for the performance of each device and structure of their turbulent far wake. The results of these simulations were validated against the developed in-house experimental data. Simulations for other turbine configurations are available upon request.},
doi = {10.15473/1420432},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {6}
}

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