フランシス水車ランナの多目的設計最適化

抄録

Hydroelectric power generation is a highly stable renewable energy power, and it is necessary to optimize hydro turbine design to meet each specification. In order to enhance hydraulic performance, a multi-objective design optimization was carried out by using Computational Fluid Dynamics (CFD). To increase the degrees of freedom of the design, blade shape of runner was defined by NURBS curve. The optimization algorithm employs Particle Swarm Optimization (PSO). As a result, the pareto solutions exceeding the conventional design were obtained, and also the correlations between the objectives were evaluated.