A Multi-Objective Design Strategy
Frequent changes between pump and turbine operations pose significant challenges in the design of pump-turbine runners with high efficiency and stability. In this study, a multi-objective optimization design system, including a 3D inverse design, computational fluid dynamics, design of experiment, response surface methodology, and multi-objective genetic algorithm, is introduced and applied to the design of a middle-high-head pump-turbine runner.
In this study, a design strategy combining 3D inverse design, CFD, DoE, RSM, and multi-objective genetic algorithm (MOGA) was used to develop a pump-turbine runner with high efficiency and stability. First, a brief introduction of the strategy was provided. Thereafter, the strategy was applied to the design of a scaled pump-turbine runner. Finally, model tests and numerical simulations were conducted to verify the optimization of the design system and analyses of the internal flows.
In this paper you will:
- Learn how a multi-objective optimization design system that includes 3D Inverse Design is applied to a pump-turbine runner
- Understand the challenges of designing runners that operate as both a pump and a turbine
- Discover the correlation between input parameters and the resulting trade-offs
