Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : December 06, 2016 - December 07, 2016
Hydroelectric power generation is a highly stable renewable energy power, and it is necessary to optimize hydro turbine to meet each specification. In order to enhance hydraulic performance, multi objective design optimization was carried out by using Computational Fluid Dynamics(CFD). The optimization algorithm employs Particle Swarm Optimization(PSO). To increase the degrees of freedom of shape, blade shape of runner is defined by NURBS curve. As a result, it was confirmed that an optimized runner with more uniform runner outlet flow has better performance than conventional runner.
