What's inside?
In this paper the optimisation of a pump-as-turbine runner using a 3D inverse design methodology is presented. The baseline design is based on an existing runner designed with TURBOdesign1, that was then optimised by the genetic algorithm in Isight. In the work presented here the baseline design will be further optimised by minimizing secondary flow and profile loss factors while keeping the same meridional profile, stacking characteristics and work distribution in pump mode.
These designs were analysed using CFD and the results indicate that minimising the secondary loss factor leads to an increase of the pump mode efficiency, whereas minimising the profile loss coefficient benefits the turbine mode efficiency. These results strengthen the understanding of the trade-offs involved and provided guidelines for the design of runners for pump-as-turbine applications.
In this publication, you will:
- Understand the trade-offs involved in the design of runners for pump-as-turbine applications.
- Learn how TURBOdesign Optima was used to run multi-objective optimizations of the baseline runner design.
- Find out how to use TURBOdesign Suite and CFD analysis to increase efficiency across the board.
