Optimization of pump transient energy characteristics based on response surface optimization model and computational fluid dynamics

被引:26
|
作者
Li, Wei [1 ,2 ,6 ]
Yang, Qiaoyue [1 ]
Yang, Yi [1 ]
Ji, Leilei [1 ,5 ,6 ]
Shi, Weidong [3 ]
Agarwal, Ramesh [4 ]
机构
[1] Jiangsu Univ, Natl Res Ctr Pumps, Zhenjiang 212013, Peoples R China
[2] Jiangsu Univ, Zhenjiang Fluid Engn Equipment Technol Res Inst, Zhenjiang 212009, Jiangsu, Peoples R China
[3] Nantong Univ, Coll Mech Engn, Nantong 226019, Peoples R China
[4] Washington Univ, Dept Mech Engn & Mat Sci, St Louis, MO 63130 USA
[5] Jiangsu Univ, Wenling Fluid Machinery Technol Inst, Wenling 317525, Peoples R China
[6] Jiangsu Univ, 301 Xuefu Rd, Zhenjiang, Jiangsu, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Mixed-flow pump; Start -up process; Numerical calculations; Response surface method; Intelligent optimization; CENTRIFUGAL PUMP; FLOW PUMP; PERFORMANCE; EFFICIENCY; BEHAVIOR;
D O I
10.1016/j.apenergy.2024.123038
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The global energy shortage is increasingly becoming a problem of major concern worldwide. Since the pumps represent the largest part in the energy conversion devices, improving their energy characteristics is very important for energy conservation and efficiecy. However, the traditional pump design methods have generally overlooked the transient flow characteristics inside the pumps leading to high hydraulic losses and low operatinal efficiency, especially in applications that have pronounced transient effects. To address this problem, a novel approach is proposed in this paper which combines the response surface optimization method with the computational fluid dynamics (CFD) technology to optimize the energy characteristics of pumps during the transient processes. The main objective of the study is to enhance the internal flow state and the transient energy performance of the pump during the start -up process. A comparative analysis is conducted on the energy characteristics and the internal flow field of a model pump before and after the optimization, thereby validating the effectiveness of the proposed energy characteristics optimization method. The numerical results reveal that the inlet placement angle ( alpha), the outlet placement angle ( beta ), the blade envelope angle ( phi ), and the blade thickness coefficient ( theta ) significantly impact the weighted average head and weighted average efficiency of the pump. After optimization, the weighted average head and the weighted average efficiency of the pump increase by 2.97% and 8.91% respectively, while the transient efficiency of the pump at all times surpasses that of the traditional, non-otimized design approach. These research findings provide valuable insights for enhancing the performance of the pumps oerating in the transient flow conditions.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] Design and optimization of plasma jet nozzles based on computational fluid dynamics
    Nan Yu
    Yanni Yang
    Renaud Jourdain
    Mustapha Gourma
    Adam Bennett
    Fengzhou Fang
    The International Journal of Advanced Manufacturing Technology, 2020, 108 : 2559 - 2568
  • [32] Computational-Fluid-Dynamics-Based Twist Optimization of Hovering Rotors
    Allen, C. B.
    Rendall, T. C. S.
    Morris, A. M.
    JOURNAL OF AIRCRAFT, 2010, 47 (06): : 2075 - 2085
  • [33] Failure Mechanism and Optimization of Throttle Valve Based on Computational Fluid Dynamics
    Yang, Ting
    Hong, Yi
    Wang, Aijun
    Ran, Xiaofeng
    Fan, Xiaojun
    Hu, Changpeng
    INTERNATIONAL JOURNAL OF HEAT AND TECHNOLOGY, 2021, 39 (03) : 906 - 912
  • [34] Study of Ammonia Concentration Characteristics and Optimization in Broiler Chamber during Winter Based on Computational Fluid Dynamics
    Zou, Xiuguo
    Wang, Siyu
    Qian, Yan
    Gong, Fei
    Zhang, Shixiu
    Hu, Jiangxue
    Liu, Wenchao
    Song, Yuanyuan
    Zhang, Shikai
    Meng, Jiawei
    Qiu, Xinfa
    AGRICULTURE-BASEL, 2022, 12 (02):
  • [35] Structural optimization of multistage centrifugal pump via computational fluid dynamics and machine learning method
    Zhao, Jiantao
    Pei, Ji
    Yuan, Jianping
    Wang, Wenjie
    JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING, 2023, 10 (03) : 1204 - 1218
  • [36] Optimization of the coefficient of performance of a heat pump with an integrated storage tank - A computational fluid dynamics study
    Sifnaios, Ioannis
    Fan, Jianhua
    Olsen, Lars
    Madsen, Claus
    Furbo, Simon
    APPLIED THERMAL ENGINEERING, 2019, 160
  • [37] Design optimization of guide vane for mitigating elbow erosion using computational fluid dynamics and response surface methodology
    Li, Anjun
    Wang, Zhenbo
    Zhu, Liyun
    Wang, Zengli
    Shi, Jingyuan
    Yang, Wensan
    PARTICUOLOGY, 2022, 63 : 83 - 94
  • [38] Multi-objective optimization of a Stairmand cyclone separator using response surface methodology and computational fluid dynamics
    Sun, Xun
    Kim, Sung
    Yang, Seung Deok
    Kim, Hyun Soo
    Yoon, Joon Yong
    POWDER TECHNOLOGY, 2017, 320 : 51 - 65
  • [39] Analysis of the flow dynamics characteristics of an axial piston pump based on the computational fluid dynamics method
    Zhang, Bin
    Ma, Jien
    Hong, Haocen
    Yang, Huayong
    Fang, Youtong
    ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2017, 11 (01) : 86 - 95
  • [40] Analysis and optimization of microfluidic systems for real-time detection of nutrients in soil based on computational fluid dynamics and response surface methodology
    Khomane, Sachin M.
    Jadhav, Pradeep Vitthal
    MICROFLUIDICS AND NANOFLUIDICS, 2025, 29 (02)