Verification and validation of blade-resolved viscous-flow tidal turbine simulations Article Swipe
Manuel Rentschler
,
Tiago Gomes
,
Guilherme Vaz
,
Luís Eça
,
Stephen R. Turnock
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.36688/imej.8.217-226
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.36688/imej.8.217-226
Tidal turbines are a renewable energy source on the rise. The exceptional predictability of tidal currents contributes to a high reliability of this technology, which represents a key advantage in the endeavor to become a major contributor to the energy mix. To foster the development and to support the design process of tidal turbines, reliable numerical modeling techniques are required. This paper presents verification and validation work performed within the framework of the Supergen ORE Tidal Turbine Benchmarking Study. Viscous-flow CFD code ReFRESCO is used to conduct blade-resolved simulations of the towing tank experiments. In a first approximation, a steady-state frozen-rotor approach is chosen. A transition model, Gamma-ReTheta, is employed to predict the flow state transition on the turbine blades. In the process, the sensitivity to input turbulence quantities is highlighted. The numerical uncertainty is estimated based on mesh refinements. Finally, a conclusion is drawn to which accuracy the presented numerical models can predict the outcome of the experiments.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.36688/imej.8.217-226
- OA Status
- diamond
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411340508
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4411340508Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.36688/imej.8.217-226Digital Object Identifier
- Title
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Verification and validation of blade-resolved viscous-flow tidal turbine simulationsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-06-16Full publication date if available
- Authors
-
Manuel Rentschler, Tiago Gomes, Guilherme Vaz, Luís Eça, Stephen R. TurnockList of authors in order
- Landing page
-
https://doi.org/10.36688/imej.8.217-226Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.36688/imej.8.217-226Direct OA link when available
- Concepts
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Blade (archaeology), Marine engineering, Turbine, Flow (mathematics), Geology, Turbine blade, Viscous flow, Model validation, Tidal power, Aerospace engineering, Mechanics, Computer science, Environmental science, Engineering, Physics, Mechanical engineering, Data scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
Full payload
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| abstract_inverted_index.represents | 25 |
| abstract_inverted_index.techniques | 57 |
| abstract_inverted_index.transition | 105, 115 |
| abstract_inverted_index.turbulence | 127 |
| abstract_inverted_index.validation | 65 |
| abstract_inverted_index.contributes | 16 |
| abstract_inverted_index.contributor | 36 |
| abstract_inverted_index.development | 44 |
| abstract_inverted_index.exceptional | 11 |
| abstract_inverted_index.reliability | 20 |
| abstract_inverted_index.sensitivity | 124 |
| abstract_inverted_index.simulations | 88 |
| abstract_inverted_index.technology, | 23 |
| abstract_inverted_index.uncertainty | 133 |
| abstract_inverted_index.Benchmarking | 77 |
| abstract_inverted_index.Viscous-flow | 79 |
| abstract_inverted_index.experiments. | 93, 158 |
| abstract_inverted_index.frozen-rotor | 100 |
| abstract_inverted_index.highlighted. | 130 |
| abstract_inverted_index.refinements. | 139 |
| abstract_inverted_index.steady-state | 99 |
| abstract_inverted_index.verification | 63 |
| abstract_inverted_index.Gamma-ReTheta, | 107 |
| abstract_inverted_index.approximation, | 97 |
| abstract_inverted_index.blade-resolved | 87 |
| abstract_inverted_index.predictability | 12 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.1335617 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |