Computational fluid dynamic simulation data for a reversible pump-turbine. The dataset contains time-dependent pressure fluctuation data acquired from observation points within a three-dimensional numerical model under design, high, and part load operating conditions. It was authored by Chirag Trivedi.
Use Cases
- Analyze time-dependent pressure fluctuation data from observation points to study transient flow phenomena.
- Compare pressure fluctuation characteristics across design, high, and part load operating conditions.
- Validate and calibrate CFD models of pump-turbines using the provided simulation results.
Strengths
- Data originates from three-dimensional computational fluid dynamic simulations, providing detailed spatial information.
- Simulations cover multiple operating conditions (design, high, and part load), enabling comparative analysis.
- Includes time-dependent data from observation points, capturing dynamic pressure fluctuations.
Limitations
- The dataset scope is limited to a single pump-turbine model, restricting generalizability to other designs.
- Specific data volume (e.g., number of time steps, observation points) and file formats are not detailed.
- As a simulation dataset, it may not fully capture real-world operational complexities and physical wear.
Provenance
- Source
- DataverseNO Harvested Dataverse
- Collection Method
- Three-dimensional computational fluid dynamic simulations of a reversible pump-turbine.
- Time Range
- null
- Freshness
- null
- Geography
- null