ORPC RivGen Hydrokinetic Turbine Wake Characterization
Field measurements of mean flow and turbulence parameters at the Kvichak river prior to and after the deployment of ORPC's RivGen hydrokinetic turbine. Data description and turbine wake analysis are presented in the attached manuscript "Wake measurements from a hydrokinetic river turbine" by Guerra and Thomson (recently submitted to Renewable Energy).
There are three data sets: NoTurbine (prior to deployment), Not_Operational_Turbine (turbine underwater, but not operational), and Operational_Turbine. The data has been quality controlled and organized into a three-dimensional grid using a local coordinate system described in the paper. All data sets are in Matlab format (.mat).
Variables available in the data sets are:
qx: X coordinate matrix (m)
qy: Y coordinate matrix (m)
z : z coordinate vector (m)
lat : grid cell latitude (degrees)
lon: grid cell longitude (degrees)
U : velocity magnitude (m/s)
Ux: x velocity (m/s)
Vy: y velocity (m/s)
W: vertical velocity (m/s)
Pseudo_beam.b_i: pseudo-along beam velocities (i = 1 to 4) (m/s) (structure with raw data within each grid cell)
beam5.b5: 5th-beam velocity (m/s) (structure with raw data within each grid cell)
tke: turbulent kinetic energy (m2/s2)
epsilon: TKE dissipation rate (m2/s3)
Reynolds stresses: uu, vv, ww, uw, vw (m2/s2)
Variables from the Not Operational Turbine data set are identified with _T
Variables from the Operational Turbine data set are identified with _TO
Citation Formats
University of Washington. (2018). ORPC RivGen Hydrokinetic Turbine Wake Characterization [data set]. Retrieved from https://dx.doi.org/10.15473/1432537.
Thomson, Jim, Guerra, Maricarmen. ORPC RivGen Hydrokinetic Turbine Wake Characterization. United States: N.p., 27 Feb, 2018. Web. doi: 10.15473/1432537.
Thomson, Jim, Guerra, Maricarmen. ORPC RivGen Hydrokinetic Turbine Wake Characterization. United States. https://dx.doi.org/10.15473/1432537
Thomson, Jim, Guerra, Maricarmen. 2018. "ORPC RivGen Hydrokinetic Turbine Wake Characterization". United States. https://dx.doi.org/10.15473/1432537. https://mhkdr.openei.org/submissions/248.
@div{oedi_4006, title = {ORPC RivGen Hydrokinetic Turbine Wake Characterization}, author = {Thomson, Jim, Guerra, Maricarmen.}, abstractNote = {Field measurements of mean flow and turbulence parameters at the Kvichak river prior to and after the deployment of ORPC's RivGen hydrokinetic turbine. Data description and turbine wake analysis are presented in the attached manuscript "Wake measurements from a hydrokinetic river turbine" by Guerra and Thomson (recently submitted to Renewable Energy).
There are three data sets: NoTurbine (prior to deployment), Not_Operational_Turbine (turbine underwater, but not operational), and Operational_Turbine. The data has been quality controlled and organized into a three-dimensional grid using a local coordinate system described in the paper. All data sets are in Matlab format (.mat).
Variables available in the data sets are:
qx: X coordinate matrix (m)
qy: Y coordinate matrix (m)
z : z coordinate vector (m)
lat : grid cell latitude (degrees)
lon: grid cell longitude (degrees)
U : velocity magnitude (m/s)
Ux: x velocity (m/s)
Vy: y velocity (m/s)
W: vertical velocity (m/s)
Pseudo_beam.b_i: pseudo-along beam velocities (i = 1 to 4) (m/s) (structure with raw data within each grid cell)
beam5.b5: 5th-beam velocity (m/s) (structure with raw data within each grid cell)
tke: turbulent kinetic energy (m2/s2)
epsilon: TKE dissipation rate (m2/s3)
Reynolds stresses: uu, vv, ww, uw, vw (m2/s2)
Variables from the Not Operational Turbine data set are identified with _T
Variables from the Operational Turbine data set are identified with _TO}, doi = {10.15473/1432537}, url = {https://mhkdr.openei.org/submissions/248}, journal = {}, number = , volume = , place = {United States}, year = {2018}, month = {02}}
https://dx.doi.org/10.15473/1432537
Details
Data from Feb 27, 2018
Last updated Jun 30, 2020
Submitted Mar 3, 2018
Organization
University of Washington
Contact
Maricarmen Guerra
206.616.6359
Authors
Original Source
https://mhkdr.openei.org/submissions/248Research Areas
Keywords
MHK, Marine, Hydrokinetic, energy, wake, cross-flow turbine, wake data, RivGen, turbine, ORPC, river, current, flow, turbulence, Matlab, data collection, mean flow, parameters, characterization, evolution, energy loss, 3D, velocity, cross-flow, resource, field test, cross flow turbine, CEC, Reynolds stressDOE Project Details
Project Name Advanced energy harvesting control schemes for marine renewable energy devices
Project Lead Tim Ramsey
Project Number EE0006397