Multi-objective optimization  of Kaplan runner blade shape

Nowadays runner blade shape optimization methods based on Genetic Algorithm (GA) are being developed throughout the whole world. In the present paper several Kaplan turbine features that complicate the application of the optimization methods as compared to Francis turbines, are being analyzed.The method of multi-point multi-objective optimization of the Kaplan runner blade shape is presented. This method is aimed to increase the efficiency both in the best efficiency point (BEP), and in the full load point with improvement of cavitation characteristics of the runner in the most cavitation-dangerous point. Based on the developed method, the program module for Kaplan turbine design was created. This module was included in the fully integrated software system «CADRUN-opt». Kaplan runner blades of various specific speeds were designed by using this software system.