Abstract
An optimization system coupled CFD and design tool of Francis turbine runner shape to Multi-Objective Genetic Algorithm (MOGA) is presented. The system can automatically optimize runner shape according to objective functions. The system was applied for Francis turbine runner, whose specific speed is 80 m-kW and the objective functions were selected hydraulic losses at three operating points. As the result of the optimization, many optimized runners, which have various performances, were obtained. Model test was conducted for the optimized runner and it was confirmed that the optimized runner has high efficiency characteristics in wide operating range.
