Optimized Reduction in Draft Tube Pressure Pulsation for a Francis Turbine

As a core component of hydroelectric power generation, the stable and safe operation of the Francis turbine is very important for the operation of the project. Therefore, attention must be paid to the problem of pressure pulsation in the Francis turbine. In this study, the efficiency, power, and pressure pulsation of the turbine are first compared based on computational fluid dynamics (CFD), combined with numerical simulation and experimental results. It was found that the numerical simulation method was reliable. Therefore, based on the genetic algorithm (GA) and pulsation tracking network (PTN), this article optimizes the draft tube pressure pulsation (DTPP) problem of the Francis turbine and finds that the DTPP is mainly dominated by rotation frequencies (fn) of ۰.۲, ۰.۴, ۰.۶, and ۰.۸. This research optimized the placement angle of the runner blade’s ۰.۷۵span and ۱.۰span using the genetic algorithm. The PTN method was used to analyze the changes in pressure pulsation signals from the perspectives of the pressure velocity vector, main frequency, pulsation intensity, and phase change. After optimization, the value of β۰.۷۵ was reduced from ۱۶۰.۵۹° to ۱۶۰.۴۵۲°, and the value of β۱.۰ was increased from ۱۶۰.۶° to ۱۶۱.۸۶۵°. The pressure pulsation intensity of each working condition was also weakened. Therefore, this research provides a new and effective analysis and optimization method for the pressure pulsation problem in turbine machinery.

کلیدواژه ها:

Francis turbine ، Draft tube ، Pressure pulsation ، Genetic Algorithm ، Pulsation tracking