Abstract
Quantification of uncertainty in three dimensional Computational Fluid Dynamics (CFD) modelling is one of the challenging tasks demanding extensive computational resources. This paper deals with the grid refinement study for the three dimensional CFD model of a Dethridge water wheel as a rotating object and a free surface flow. Dethridge water wheel is a potential device to be used for hydropower generation in open channel flow. Grid refinement study is performed for the Dethridge water wheel model on three different grid resolutions and numerical uncertainty is quantified using the Grid Convergence Index (GCI). Key parameters relevant to the wheel performance are analysed and compared with the measured values. The small values of GCI indicate that the dependency of the results on the cell size is reduced.
| Original language | English |
|---|---|
| Pages (from-to) | 134-140 |
| Number of pages | 7 |
| Journal | Computers & Fluids |
| Volume | 143 |
| DOIs | |
| Publication status | Published - 17 Jan 2017 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- GCI
- Hydropower
- Dethridge wheel
- CFD
- Uncertainty
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