Strategies employed in the design and optimization of pump as turbine runner

被引:5
|
作者
Wang, Kaijie [1 ]
Wang, Shuli [2 ,5 ]
Meng, Puyu [1 ]
Wang, Chengpeng [3 ]
Li, Yuhai [1 ]
Zheng, Wenxian [1 ]
Liu, Jun [4 ]
Kou, Jiawen [4 ]
机构
[1] Changan Univ, Key Lab Highway Construct Technol & Equipment, Minist Educ, Xian 710064, Peoples R China
[2] Changan Univ, Sch Water & Environm, Xian 710061, Shanxi, Peoples R China
[3] MNR, Inst Seawater Desalinat & Multipurpose Utilizat, Tianjin 300192, Peoples R China
[4] Hainan Univ, Mech & Elect Engn Coll, Haikou 570228, Hainan, Peoples R China
[5] Changan Univ, Minist Educ, Key Lab Subsurface Hydrol & Ecol Effects Arid Reg, Changan, Peoples R China
关键词
Optimization; Parametric design; Pump as turbine; CFD; Optimizing surrogate model; ENERGY RECOVERY; IMPELLER;
D O I
10.1016/j.renene.2023.119080
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The low hydraulic efficiency of the pump as turbine (PAT) poses a major challenge to the runner design. This paper introduces a new strategy for designing and optimizing the performance of PAT runner. The strategy process is mainly divided into four steps, namely blade parametric design, significance evaluation of parameters, construction of optimizing surrogate model and optimization of improved PSO algorithm. Compared with the current design methodologies, not only does this optimization strategy propose the system design and optimi-zation process, but also it breaks down the process into well-defined steps and simplifies them. The hydraulic efficiency of PAT optimized by this optimization strategy reaches 84.76%, which improves 3.93%. A test bench has been built to test the optimizing strategy. The maximum difference of experimental data is 1.5%, which meets the requirements of practical engineering application, and verifies the reliability of the optimization strategy process. The optimizing strategy process can be extended to apply to pump, fan, conventional turbine and other blade fluid models, and it can be further extended to apply to the optimization design of 3D blades with a high specific speed.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Hydraulic design and optimization of a modular pump-turbine runner
    Schleicher, W. C.
    Oztekin, A.
    ENERGY CONVERSION AND MANAGEMENT, 2015, 93 : 388 - 398
  • [2] Optimization design of a reversible pump-turbine runner with high efficiency and stability
    Zhu, Baoshan
    Wang, Xuhe
    Tan, Lei
    Zhou, Dongyue
    Zhao, Yue
    Cao, Shuliang
    RENEWABLE ENERGY, 2015, 81 : 366 - 376
  • [3] Full 3-D viscous optimization design of a reversible pump turbine runner
    Wang, X. H.
    Zhu, B. S.
    Cao, S. L.
    Tan, L.
    6TH INTERNATIONAL CONFERENCE ON PUMPS AND FANS WITH COMPRESSORS AND WIND TURBINES (ICPF2013), 2013, 52
  • [4] Optimal design of reversible pump-turbine runner
    Zhu, B. (bszhu@mail.tsinghua.edu.cn), 1600, Chinese Society of Agricultural Engineering (30):
  • [5] Optimization Design of the Turbine Runner Based on CFD
    Li, Zhigang
    Jia, Huifang
    Zhang, Wenliang
    INNOVATION AND SUSTAINABILITY OF MODERN RAILWAY, 2012, : 433 - 437
  • [6] Toward design optimization of a Pelton turbine runner
    Christian Vessaz
    Loïc Andolfatto
    François Avellan
    Christophe Tournier
    Structural and Multidisciplinary Optimization, 2017, 55 : 37 - 51
  • [7] Toward design optimization of a Pelton turbine runner
    Vessaz, Christian
    Andolfatto, Loic
    Avellan, Francois
    Tournier, Christophe
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2017, 55 (01) : 37 - 51
  • [8] Development of a pump-turbine runner based on multiobjective optimization
    Xuhe, W.
    Baoshan, Z.
    Lei, T.
    Jie, Z.
    Shuliang, C.
    27TH IAHR SYMPOSIUM ON HYDRAULIC MACHINERY AND SYSTEMS (IAHR 2014), PTS 1-7, 2014, 22
  • [9] Parametric Design of an Ultrahigh-Head Pump-Turbine Runner Based on Multiobjective Optimization
    Liu, Linhai
    Zhu, Baoshan
    Bai, Li
    Liu, Xiaobing
    Zhao, Yue
    ENERGIES, 2017, 10 (08):
  • [10] Advanced Optimization Tools for Hydro Turbine Runner Design
    Lestriez, R.
    Calvo, D.
    Mendicino, D.
    30TH IAHR SYMPOSIUM ON HYDRAULIC MACHINERY AND SYSTEMS (IAHR 2020), 2021, 774