Dataset

Tidal Benchmarking Project Dataset: R001_2

Documentation:: The tidal turbine benchmarking project has conducted a large laboratory scale experiment on a highly instrumented 1.6 diameter tidal rotor, with the aim of providing a well-documented experimental dataset that will be used in a benchmarking exercise that will compare a range of modelling methodologies for tidal turbines. This initial dataset, identified as R001, contains the turbine and blade geometry, the benchmarking test cases and 2D CFD data for the blade hydrofoil profile.

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APA Style

Harvey, S., Chen, X., Bhavsar, K., Allsop, T., Benson, I., Mullings, H., Stallard, T., Young, A., Gilbert, J., Vogel, C., & Willden, R. (2022). Tidal Benchmarking Project Dataset: R001_2. University of Oxford.

MLA Style

Harvey, S., et al. Tidal Benchmarking Project Dataset: R001_2. University of Oxford, 2022.

Chicago Style

Harvey, S, X Chen, K Bhavsar, T Allsop, I Benson, H Mullings, T Stallard, et al. 2022. “Tidal Benchmarking Project Dataset: R001_2.” University of Oxford.
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Files:: R_001_2.zip

(Version of record, zip, 10.6MB, Terms of use)

Authors/Creators

+ Harvey, S More by this author/creator

Institution:: University of Oxford
Division:: MPLS
Department:: Engineering Science
Role:: Researcher, Creator

+ Chen, X More by this author/creator

Institution:: University of Oxford
Division:: MPLS
Department:: Engineering Science
Role:: Researcher, Creator

+ Bhavsar, K More by this author/creator

Institution:: University of Hull
Role:: Researcher, Creator

+ Allsop, T More by this author/creator

Institution:: University of Hull
Role:: Researcher, Creator

+ Benson, I More by this author/creator

Institution:: Tutanota
Role:: Researcher, Creator

More authors...

+ EPSRC More from this funder

Funding agency for:: Willden, R
Grant:: EP/R007322/1
Programme:: EPSRC Advanced Fellowship

+ Supergen ORE Hub More from this funder

Funding agency for:: Willden, R; Gilbert, J
Grant:: EP/S000747/1

Publisher:: University of Oxford
Publication date:: 2022
Version number:: version 2
Data collected:: 2020-05-04 - 2022-04-08

Language:: English
Keywords:: tidal energy

turbine

benchmarking

renewable energy

simulation
Subjects:: Tidal Turbine Hydrodynamics
Deposit date:: 2022-08-18

Terms of use

Copyright date:: 2022

Licence:: CC Attribution (CC BY)

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