U型冲击式透平流道-叶片协同优化

张能轩; 高铁瑜; 颜晓江; 孟祥瑞; 龚建英; 谢小军; 宋子琛

doi:10.7652/xjtuxb202610017

您当前的位置：

首页 >

文章列表页 >

U型冲击式透平流道-叶片协同优化

—————————————————————— | 更新时间：2026-09-29

- U型冲击式透平流道-叶片协同优化
- Collaborative Optimization of Flow Passage and Blades in a U-Shaped Impulse Turbine
- 西安交通大学学报 2026年60卷第10期页码：197-208
- 作者机构：
  
  西安交通大学能源与动力工程学院，710049，西安
  西安热工研究院有限公司，710054，西安
- 作者简介：
  
  张能轩（1999-），男，硕士生；
  高铁瑜（通信作者），男，教授，博士生导师。
- 基金信息：
  
  国家重点研发计划资助项目(2019YFB1504302)
- DOI：10.7652/xjtuxb202610017
  中图分类号： TK14
- 收稿：2026-01-22，
  
  网络首发：2026-04-09，
  
  纸质出版：2026-10-10
- 稿件说明：
移动端阅览
张能轩, 高铁瑜, 颜晓江, 等. U型冲击式透平流道-叶片协同优化[J/OL]. 西安交通大学学报,2026,60 (10):197-208. https://doi.org/10.7652/xjtuxb202610017.

ZHANG Nengxuan, GAO Tieyu, YAN Xiaojiang, et al. Collaborative Optimization of Flow Passage and Blades in a U-Shaped Impulse Turbine[J/OL]. Journal of Xi'an Jiaotong University,2026,60 (10):197-208. https://doi.org/10.7652/xjtuxb202610017.
张能轩, 高铁瑜, 颜晓江, 等. U型冲击式透平流道-叶片协同优化[J/OL]. 西安交通大学学报,2026,60 (10):197-208. https://doi.org/10.7652/xjtuxb202610017. DOI：

ZHANG Nengxuan, GAO Tieyu, YAN Xiaojiang, et al. Collaborative Optimization of Flow Passage and Blades in a U-Shaped Impulse Turbine[J/OL]. Journal of Xi'an Jiaotong University,2026,60 (10):197-208. https://doi.org/10.7652/xjtuxb202610017. DOI：

摘要

为提升U型冲击式透平的气动性能，开展了流道-叶片的协同多目标优化研究。首先，对冲击式透平转子叶片进行参数化建模，选取转子叶型和流道宽度作为设计变量。其次，采用最优拉丁超立方采样在高维决策空间生成样本集，获取样本响应值，基于样本数据构建Kriging代理模型。接着，以透平效率和输出功率为优化目标，采用非支配排序遗传算法Ⅱ（NSGA-Ⅱ）进行全局寻优并获得帕累托解集。然后，采用逼近理想解排序（TOPSIS）方法从解集中选取综合性能最优的几何参数组合，得到优化后的透平模型。最后，数值研究了优化方案与原始设计的内部流动特征，并结合全局敏感性分析了关键几何参数对性能的影响规律。研究结果表明：转子叶片中弧线几何角为影响效率的关键参数，导流叶片高度和转子叶片高度为影响功率的主要因素；优化后的冲击式透平效率和功率分别提升了3.35%、3.13%，且有效抑制了转子吸力面的流动分离及下游导叶区域的过冲损失，从而改善了内部流动稳定性并提升了能量转换效率。该研究结果可为冲击式透平的流道与叶片协同设计提供理论参考。

Abstract

To improve the aerodynamic performance of a U-shaped impulse turbine

a collaborative multi-objective optimization study on the flow passage and blades was conducted. First

the rotor blades of the impulse turbine were parametrically modeled

and the rotor blade profile and flow passage width were selected as design variables. Second

optimal Latin hypercube sampling was employed to generate a sample set in the high-dimensional decision space and obtain the sample response values

based on which a Kriging surrogate model was constructed. Third

with turbine efficiency and output power as the optimization objectives

the non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) was utilized for global optimization to obtain the Pareto solution set. Then

the technique for order preference by similarity to an ideal solution (TOPSIS) method was adopted to select the geometric parameter combination with the best comprehensive performance from the solution set

yielding the optimized turbine model. Finally

numerical investigations were conducted on the internal flow characteristics of the optimized and original designs. Combined with global sensitivity analysis

the influence mechanisms of key geometric parameters on performance were clarified. The results indicate that the geometric angle of the rotor blade camber line is the key parameter affecting efficiency

while the heights of the guide vanes and rotor blades are the main factors influencing output power. The efficiency and output power of the optimized impulse turbine are increased by 3.35% and 3.13%

respectively. Moreover

the optimized design effectively suppresses flow separation on the rotor suction surface and reduces overshot losses in the downstream guide vane region

thereby improving internal flow stability and enhancing energy conversion efficiency. These results provide a theoretical reference for the collaborative design of flow passages and blades in impulse turbines.

关键词

Keywords

references

施伟勇, 王传崑, 沈家法.中国的海洋能资源及其开发前景展望[J].太阳能学报, 2011, 32(6): 913-923.

Shi Weiyong, Wang Chuankun, Shen Jiafa.Utilization and prospect of ocean energy resource in China[J]. Acta Energiae Solaris Sinica, 2011, 32(6): 913-923.

Md Yasir A S H, Omar M A, Mohd Azhar N A, et al. A comprehensive review of recent advancements and challenges in breakwater oscillating water column technology for wave energy conversion [J].Energy Reports, 2025, 13: 4095-4113.

李显豪, 张亚群, 范朝晖.振荡水柱波浪能装置空气透平研究综述[J].新能源进展, 2023, 11(2): 174-180.

Li Xianhao, Zhang Yaqun, Fan Zhaohui.An overview of air turbines for oscillating water column wave energy converters[J].Advances in New and Renewable Energy, 2023, 11(2): 174-180.

Yang Bo, Duan Jinhang, Chen Yong, et al. A critical survey of power take-off systems based wave energy converters: summaries, advances, and perspectives [J]. Ocean Engineering, 2024, 298: 117149.

FalcÃA F O, Henriques J C C.Oscillating-water-column wave energy converters and air turbines: a review [J]. Renewable Energy, 2016, 85: 1391-1424.

刘艳娇, 黄铭冶, 彭爱武.振荡水柱波浪能发电装置机电转换及控制研究进展[J].太阳能学报, 2024, 45(10): 699-709.

Liu Yanjiao, Huang Mingye, Peng Aiwu.Research progress on electromechanical conversion and control of oscillating water column wave energy converter[J]. Acta Energiae Solaris Sinica, 2024, 45(10): 699-709.

Manan Jariwala A, Kumar Dash S, Sahu U K, et al. Performance optimization techniques on point absorber and oscillating water column wave energy converter: a comprehensive review [J].IEEE Access, 2025, 13: 14743-14759.

Cui Ying, Liu Zhen, Zhang Xiaoxia, et al. Review of CFD studies on axial-flow self-rectifying turbines for OWC wave energy conversion [J].Ocean Engineering, 2019, 175: 80-102.

FalcÃo A F O, Gato L M C, Nunes E P A S.A novel radial self-rectifying air turbine for use in wave energy converters [J].Renewable Energy, 2013, 50: 289-298.

Liu Jiajie, Xiao Yexiang, Liu Jie, et al. Analysis of OWC impulse turbine flow characteristics considering the blade tip clearance [J].Journal of Physics: Conference Series, 2024, 2752(1): 012158.

Thakker A, Dhanasekaran T S. Experimental and computational analysis on guide vane losses of impulse turbine for wave energy conversion [J].Renewable Energy, 2005, 30(9): 1359-1372.

Prakash S S, Mamun K A, Islam F R, et al. Wave energy converter: a review of wave energy conversion technology [C]//20163rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE).Piscataway, NJ, USA: IEEE, 2016: 71-77.

Ding Zhenyu, Ning Dezhi, Mayon R.Experimental study on the performance comparison of unidirectional and bidirectional impulse turbines in an oscillating water column wave energy converter [J].Energy Conversion and Management, 2026, 347: 120536.

Guo Peng, Zhang Yongliang, Chen Wenchuang.Numerical analysis on a self-rectifying impulse turbine with U-shaped duct for oscillating water column wave energy conversion [J].Energy, 2023, 274: 127359.

Wang Chen, Zhang Yongliang, Xu Haochun, et al. Multi-stage wave energy conversion and electric power estimation of a chamber-breakwater integrated system with a U-shaped impulse turbine [J].Energy Conversion and Management, 2024, 313: 118591.

Halder P, Mohamed M H, Samad A.Wave energy conversion: design and shape optimization [J].Ocean Engineering, 2018, 150: 337-351.

Gomes R P F, Henriques J C C, Gato L M C, et al. Multi-point aerodynamic optimization of the rotor blade sections of an axial-flow impulse air turbine for wave energy conversion [J]. Energy, 2012, 45(1): 570-580.

Vega-Valladares A, Garcia-Diaz M, Pereiras B.Multiobjective response surface optimization of a centrifugal turbine for application in oscillating water column devices equipped with a twin turbine configuration [J]. Ocean Engineering, 2025, 324: 120629.

Badhurshah R, Samad A.Multi-objective optimization of a bidirectional impulse turbine [J].Proceedings of the Institution of Mechanical Engineers: Part A Journal of Power and Energy, 2015, 229(6): 584-596.

RodrÍguez L, Pereiras B, FernÁndez-Oro J, et al. Optimization and experimental tests of a centrifugal turbine for an OWC device equipped with a twin turbines configuration [J].Energy, 2019, 171: 710-720.

Baddegamage B H B P D, Bae S J, Jang S H, et al. Performance improvement of a cross-flow air turbine for oscillating water column wave energy converter by nozzle and blade optimization [J].Ocean Engineering, 2025, 316: 119986.

Elatife K, El Marjani A.Design optimization and analysis of a compact twin radial impulse turbine for wave energy conversion [J].Results in Engineering, 2024, 24: 103561.

Liaw K L, Kurnia J C, Lai Wenkang, et al. Optimization of a novel impulse gas turbine nozzle and blades design utilizing Taguchi method for micro-scale power generation [J].Energy, 2023, 282: 129018.

Saad M, DÍaz M G, Pereiras B, et al. Optimized geometry design of a radial impulse turbine for OWC wave energy converters [J].Applied Ocean Research, 2021, 111: 102650.

Ezhilsabareesh K, Suchithra R, Thandayutham K, et al. Surrogate based optimization of a bi-directional impulse turbine for OWC-WEC: effect of guide vane lean and stagger angle for pseudo-sinusoidal wave conditions [J]. Ocean Engineering, 2021, 226: 108843.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

采用免疫算法的离心压缩机叶轮多目标优化及性能分析

双圆弧非等厚叶片对多翼离心风机内部流动控制及气动性能的影响

采用改进多目标粒子群算法的海岛综合能源系统优化调度

跨声速压气机转子通用k-ω湍流模型的机器学习辅助优化

仿鸮翼前网罩对环状叶轮循环扇性能的影响