Development of a pump-turbine runner based on multiobjective optimization

27th IAHR Symposium on Hydraulic Machinery and Systems

Xuhe, W.^1 ; Baoshan, Z.^1 ; Lei, T.^1 ; Jie, Z.^1 ; Shuliang, C.^1

State Key Laboratory of Hydroscience and Engineering, Deparment of Thermal Engineering, Tsinghua University, Beijing

100084, China^1

关键词: Experimental research;    Inverse design methods;    Multi-objective genetic algorithm;    Objective functions;    Pump turbine runners;    Pumped storage plants;    Response surface method;    Reversible pump-turbine;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/22/1/012028/pdf
DOI  :  10.1088/1755-1315/22/1/012028

来源: IOP

【 摘 要 】

As a key component of reversible pump-turbine unit, pump-turbine runner rotates at pump or turbine direction according to the demand of power grid, so higher efficiencies under both operating modes have great importance for energy saving. In the present paper, a multiobjective optimization design strategy, which includes 3D inverse design method, CFD calculations, response surface method (RSM) and multiobjective genetic algorithm (MOGA), is introduced to develop a model pump-turbine runner for middle-high head pumped storage plant. Parameters that controlling blade shape, such as blade loading and blade lean angle at high pressure side are chosen as input parameters, while runner efficiencies under both pump and turbine modes are selected as objective functions. In order to validate the availability of the optimization design system, one runner configuration from Pareto front is manufactured for experimental research. Test results show that the highest unit efficiency is 91.0% under turbine mode and 90.8% under pump mode for the designed runner, of which prototype efficiencies are 93.88% and 93.27% respectively. Viscous CFD calculations for full passage model are also conducted, which aim at finding out the hydraulic improvement from internal flow analyses.