Delft3D turbine turbulence module Article Swipe
Chris Chartrand
,
Bert Jagers
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.11578/dc.20171025.1747
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.11578/dc.20171025.1747
The DOE has funded Sandia National Labs (SNL) to develop an open-source modeling tool to guide the design and layout of marine hydrokinetic (MHK) arrays to maximize power production while minimizing environmental effects. This modeling framework simulates flows through and around a MHK arrays while quantifying environmental responses. As an augmented version of the Dutch company, Deltares’s, environmental hydrodynamics code, Delft3D, SNL-Delft3D includes a new module that simulates energy conversion (momentum withdrawal) by MHK devices with commensurate changes in the turbulent kinetic energy and its dissipation rate.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://www.osti.gov/biblio/1656717
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2610966840
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2610966840Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.11578/dc.20171025.1747Digital Object Identifier
- Title
-
Delft3D turbine turbulence moduleWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2016Year of publication
- Publication date
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2016-01-01Full publication date if available
- Authors
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Chris Chartrand, Bert JagersList of authors in order
- Landing page
-
https://www.osti.gov/biblio/1656717Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.osti.gov/biblio/1656717Direct OA link when available
- Concepts
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Turbulence, Turbine, Environmental science, Marine engineering, Meteorology, Computer science, Geography, Aerospace engineering, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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