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ORPC RivGen Hydrokinetic Turbine Wake Characterization

DOI 10.15473/1432537
Publicly accessible License 

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

TY - DATA AB - 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 AU - Thomson, Jim A2 - Guerra, Maricarmen DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.15473/1432537 KW - MHK KW - Marine KW - Hydrokinetic KW - energy KW - wake KW - cross-flow turbine KW - wake data KW - RivGen KW - turbine KW - ORPC KW - river KW - current KW - flow KW - turbulence KW - Matlab KW - data collection KW - mean flow KW - parameters KW - characterization KW - evolution KW - energy loss KW - 3D KW - velocity KW - cross-flow KW - resource KW - field test KW - cross flow turbine KW - CEC KW - Reynolds stress LA - English DA - 2018/02/27 PY - 2018 PB - University of Washington T1 - ORPC RivGen Hydrokinetic Turbine Wake Characterization UR - https://doi.org/10.15473/1432537 ER -
Export Citation to RIS
Thomson, Jim, and Maricarmen Guerra. ORPC RivGen Hydrokinetic Turbine Wake Characterization. University of Washington, 27 February, 2018, MHKDR. https://doi.org/10.15473/1432537.
Thomson, J., & Guerra, M. (2018). ORPC RivGen Hydrokinetic Turbine Wake Characterization. [Data set]. MHKDR. University of Washington. https://doi.org/10.15473/1432537
Thomson, Jim and Maricarmen Guerra. ORPC RivGen Hydrokinetic Turbine Wake Characterization. University of Washington, February, 27, 2018. Distributed by MHKDR. https://doi.org/10.15473/1432537
@misc{OEDI_Dataset_7920, title = {ORPC RivGen Hydrokinetic Turbine Wake Characterization}, author = {Thomson, Jim and 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}, url = {https://mhkdr.openei.org/submissions/248}, year = {2018}, howpublished = {MHKDR, University of Washington, https://doi.org/10.15473/1432537}, note = {Accessed: 2025-05-04}, doi = {10.15473/1432537} }
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

Jim Thomson

University of Washington

Maricarmen Guerra

University of Washington

DOE Project Details

Project Name Advanced energy harvesting control schemes for marine renewable energy devices

Project Lead Tim Ramsey

Project Number EE0006397

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