DESIGN OPTIMIZATION OF A HIGH SPECIFIC SPEED FRANCIS TURBINE USING MULT-OBJECTIVE GENETIC ALGORITHM

摘要

An optimization system coupled CFD and design tool of Francis turbine shape to Multi-Objective Genetic Algorithm (MOGA) is presented. The system can automatically optimize flow-passage shape according to objective functions. The system was applied for Francis turbine runner and draft tube, whose specific speed is 250 m-kW. The objective function was selected runner's hydraulic loss ,draft tube's hydraulic loss and height size of draft tube. As the result of the optimization, many optimized flow passage shapes , which have new design concepts, were obtained.