Optimization of Guide Vane Airfoil Shape of Pump Turbine Based on SVM-MDMR Model
Li, Qifei1,2; Xin, Lu1; Yao, Lei1; Zhang, Shiang3
2024-03-15
在线发表时间2024-03
发表期刊ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
ISSN2193-567X
摘要Pumped storage is an important green, low-carbon, and clean flexible regulating power source in the power system, which can provide regulation services for the power system, promote the construction of a new type of power system, and facilitate the green transformation of energy. To improve the efficiency and stability of the centrifugal pump turbine under multiple operating conditions, a surrogate model combining radial basis functions with a high-dimensional model is used for performance optimization. Taking the active guide vane of the centrifugal pump turbine as the research object, the airfoil profile is parameterized, and the surrogate model's independent variables and training range are determined. Combining programming and numerical simulation software, an efficiency prediction model for the centrifugal pump and water turbine based on guide vane airfoil control variables is constructed. The particle swarm algorithm is used to globally optimize the constructed model to obtain the optimal efficiency point and corresponding airfoil-related parameters. Finally, numerical simulation and experimental research methods are used to validate the predicted data. The results show that under the premise of ensuring grid performance and operational stability, the numerical simulation efficiency of the pump turbine under the optimization scheme is increased by 1.6 and 0.32%, respectively, compared to the numerical efficiency of the prototype guide vane. In the experimental case, the efficiency of the water turbine and pump is increased by 0.76 and 0.14%, respectively, compared to the prototype guide vane.
关键词Pump turbine Airfoil optimization High-dimensional representation Agent model Particle swarm algorithm
DOI10.1007/s13369-024-08807-y
收录类别SCIE
语种英语
资助项目China National Natural Fund Committee (CNFC) [52066011]; National Natural Science Foundation of China
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
WOS记录号WOS:001184309900002
出版者SPRINGER HEIDELBERG
原始文献类型Article;Early Access
EISSN2191-4281
引用统计
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/170151
专题新能源学院
通讯作者Li, Qifei
作者单位1.Lanzhou Univ Technol, Sch Energy & Power Engn, Lanzhou 730050, Gansu, Peoples R China;
2.Gansu Key Lab Fluid Machinery & Syst, Lanzhou 730050, Gansu, Peoples R China;
3.Tianjin Key Lab Hydropower Equipment, Tianjin, Peoples R China
第一作者单位能源与动力工程学院
通讯作者单位能源与动力工程学院
第一作者的第一单位能源与动力工程学院
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GB/T 7714
Li, Qifei,Xin, Lu,Yao, Lei,et al. Optimization of Guide Vane Airfoil Shape of Pump Turbine Based on SVM-MDMR Model[J]. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING,2024.
APA Li, Qifei,Xin, Lu,Yao, Lei,&Zhang, Shiang.(2024).Optimization of Guide Vane Airfoil Shape of Pump Turbine Based on SVM-MDMR Model.ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING.
MLA Li, Qifei,et al."Optimization of Guide Vane Airfoil Shape of Pump Turbine Based on SVM-MDMR Model".ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2024).
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