Optimization Design for Steam Charging Channel Uniformity of the Steam Accumulator Based on a Numerical Simulation Surrogate Model

ZHANG Xiying; YUAN Junqiu; WANG Di; XIE Xiaofeng

doi:10.19805/j.cnki.jcspe.2025.240471

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Optimization Design for Steam Charging Channel Uniformity of the Steam Accumulator Based on a Numerical Simulation Surrogate Model

更新时间：2026-10-06

- Optimization Design for Steam Charging Channel Uniformity of the Steam Accumulator Based on a Numerical Simulation Surrogate Model
- Chinese Journal of Power Engineering Vol. 45, Issue 9, Pages: 1474-1482(2025)
- 作者机构：
  
  国网江苏省电力有限公司常州供电分公司,江苏,常州,213200
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2025.240471
  CLC：
- Online First：16 September 2025，
  
  Published：2025
- 稿件说明：
移动端阅览
张茜颖,袁俊球,王迪,谢小锋. 基于数值模拟代理模型的蓄热器蒸汽流道均匀性优化动力工程学报, 2025, 45(9): 1474-1482 https://doi.

org/10.19805/j.cnki.jcspe.2025.240471
张茜颖,袁俊球,王迪,谢小锋. 基于数值模拟代理模型的蓄热器蒸汽流道均匀性优化动力工程学报, 2025, 45(9): 1474-1482 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.240471.

org/10.19805/j.cnki.jcspe.2025.240471 DOI：

摘要

在蓄热器充汽流道设计中

两相流动现象导致设计面临诸多难点

通过引入仿生流道设计理念

可改善三维压力场分布均匀性从而提高充汽冷凝效率。通过借鉴仿生学原理开展进汽流道的设计

基于计算流体力学方法构建参数化模型。计算生成的数据集被用于训练人工神经网络代理模型

进一步利用模拟退火寻找最优解

得到该类型仿生流道的最优管径参数。结果表明:在最优参数条件下

流道出口压力不均匀度下降10.91%

流道内湍动能损耗下降73.36%。研究成果为蒸汽蓄热罐进汽流道的设计提供了重要参考。

Abstract

In the design of the steam charging channel of the thermal accumulator

two-phase flow phenomena present numerous challenges. By introducing the concept of biomimetic flow channel design

the uniformity of the three-dimensional pressure field distribution can be improved

thereby enhancing the condensation efficiency of the steam. Biomimetic principles were employed to design the inlet steam channel

and a parametric model was constructed based on computational fluid dynamics methods. The dataset generated from calculations was used to train an artificial neural network surrogate model

which was then further utilized with simulated annealing to search for the optimal solution

yielding the optimal pipe diameter parameters for this type of biomimetic channel. Results show that under the optimal parameter conditions

the pressure non-uniformity at the channel outlet decreases by 10.91%

and the turbulent kinetic energy loss within the channel reduces by 73.36%.The research findings provide important references for the design of steam inlet channels in steam accumulators.

关键词

Keywords

references

HUANG Qichen, LIANG Xuechen, YAN Chongyuan, et al. Review of interface solar-driven steam generation systems: high-efficiency strategies, applications and challenges[J]. Applied Energy, 2021, 283: 116361.

刘赟, 赵旭, 申文然, 等. 扰流参数和非均匀颗粒结构参数对填充床相变蓄热器蓄热特性的影响[J]. 动力工程学报, 2023, 43(8): 974-982. LIU Yun, ZHAO Xu, SHEN Wenran, et al. Effect of turbulence and non-uniform particle structure on heat storage performance of packed bed phase-change thermal storage tank[J]. Journal of Chinese Society of Power Engineering, 2023, 43(8): 974-982.

ZHUANG Wennan, ZHOU Suyang, CHEN Jinyi, et al. Operation optimization of electricity-steam coupled industrial energy system considering steam accumulator[J]. Energy, 2024, 289: 129903.

NIKNAM P H, SCIACOVELLI A. Hybrid PCM-steam thermal energy storage for industrial processes-link between thermal phenomena and techno-economic performance through dynamic modelling[J]. Applied Energy, 2023, 331: 120358.

LI Jiaqiang, SI Zetian, HAN Dong, et al. Thermo-economic performance enhancement in batch evaporation process via mechanical vapor recompression system coupled with steam accumulator[J]. Desalination, 2022, 532: 115735.

刘瑞. 蒸汽蓄热器蓄能、释能特性研究[J]. 制冷与空调(四川), 2017, 31(5): 537-541. LIU Rui. Dynamic characteristics of the steam accumulator charging and discharging[J]. Refrigeration & Air Conditioning, 2017, 31(5): 537-541.

单文亮, 徐宪东, 孙文强, 等. 含蒸汽蓄热器的工业蒸汽系统发电灵活性量化[J]. 全球能源互联网, 2021, 4(2): 107-114. SHAN Wenliang, XU Xiandong, SUN Wenqiang, et al. Quantifying the electricity flexibility of industrial steam systems with a steam accumulator[J]. Journal of Global Energy Interconnection, 2021, 4(2): 107-114.

孙宝芝, 郭家敏, 史智俊, 等. 不同运行条件下船用蒸汽蓄热器的充汽特性[J]. 化工学报, 2015, 66(增刊2): 172-179. SUN Baozhi, GUO Jiamin, SHI Zhijun, et al. Charging characteristics of marine steam accumulator under different operating conditions[J]. CIESC Journal, 2015, 66(Sup2): 172-179.

姚莉, 张峰鸣, 赵明. 三套管相变蓄热器导热肋片的拓扑优化[J]. 动力工程学报, 2023, 43(4): 397-405. YAO Li, ZHANG Fengming, ZHAO Ming. Topology optimization of heat conduction fins in three-tube phase change heat accumulato[J]. Journal of Chinese Society of Power Engineering, 2023, 43(4): 397-405.

罗雄麟, 赵晗, 许锋. TE过程闪蒸罐双时间尺度建模与动态特性分析[J]. 化工学报, 2015, 66(1): 186-196. LUO Xionglin, ZHAO Han, XU Feng. Two-time scale modeling and dynamic characteristics analysis of flash tank in TE process[J]. CIESC Journal, 2015, 66(1): 186-196.

任智彬, 黄河, 高佳徐, 等. 三维套管式加肋相变蓄热单元的传热特性分析[J]. 动力工程学报, 2022, 42(5): 437-443. REN Zhibin, HUANG He, GAO Jiaxu, et al. Analysis of heat transfer characteristics of three-dimensional tubular ribbed chase change heat storage unit[J]. Journal of Chinese Society of Power Engineering, 2022, 42(5): 437-443.

谢启真, 郑明刚. PEMFC叶脉型仿生流道夹角参数研究[J]. 太阳能学报, 2021, 42(10): 361-366. XIE Qizhen, ZHENG Minggang. Research on flow channel angle parameters of bionic leaf-vein in PEMFC[J]. Acta Energiae Solaris Sinica, 2021, 42(10): 361-366.

黄章俊, 徐通, 何洪浩, 等. 基于人工神经网络的甲烷富氧燃烧机理优化[J]. 动力工程学报, 2024, 44(4): 520-527. HUANG Zhangjun, XU Tong, HE Honghao, et al. Mechanism optimization for methane oxygen-enriched combustion based on artificial neural network[J]. Journal of Chinese Society of Power Engineering, 2024, 44(4): 520-527.

赵祖铨, 周莹莹, 林华, 等. 采用末级流道侧壁渗透的线-面流动耗功优化[J]. 能源研究与利用, 2019(5): 42-46. ZHAO Zuquan, ZHOU Yingying, LIN Hua, et al. Optimization of power consumption for line-surface flow with wall permeation in the final stage flow channel[J]. Energy Research & Utilization, 2019(5): 42-46.

ZIMPAROV V D, DA SILVA A K, BEJAN A. Constructal tree-shaped parallel flow heat exchangers[J]. International Journal of Heat and Mass Transfer, 2006, 49(23/24): 4558-4566.

LIU Shihua, CHEN Tao, XIE Yi, et al. Numerical simulation and experimental study on the effect of symmetric and asymmetric bionic flow channels on PEMFC performance under gravity[J]. International Journal of Hydrogen Energy, 2019, 44(56): 29618-29630.

陈晨铭, 郭雪岩, 常林森. 基于BP神经网络代理模型的翼型优化及领域自适应研究[J]. 动力工程学报, 2022, 42(7): 657-663. CHEN Chenming, GUO Xueyan, CHANG Linsen. Research on airfoil optimization and domain adaptation based on BP neural network surrogate model[J]. Journal of Chinese Society of Power Engineering, 2022, 42(7): 657-663.

CHU Xuyang, ZENG Xiangheng, ZHENG Tianqing, et al. Structural design and performance research of methanol steam reforming microchannel for hydrogen production based on mixing effect[J]. International Journal of Hydrogen Energy, 2020, 45(41): 20859-20874.

管俊俊, 张祎, 张也平, 等. 基于代理模型与参数敏感性分析的扇形气膜孔优化[J]. 动力工程学报, 2021, 41(9): 736-742, 757. GUAN Junjun, ZHANG Yi, ZHANG Yeping, et al. Optimization of fan-shaped film hole based on surrogate model and parameter sensitivity analysis[J]. Journal of Chinese Society of Power Engineering, 2021, 41(9): 736-742, 757.

夏雷, 于泽庭, 许国平, 等. 基于代理模型的三维梯形流道质子交换膜燃料电池结构优化设计[J]. 中国电机工程学报, 2022, 42(6): 2238-2247. XIA Lei, YU Zeting, XU Guoping, et al. Optimal design of three-dimensional trapezoidal flow channel proton exchange membrane fuel cell structure based on surrogate model[J]. Proceedings of the CSEE, 2022, 42(6): 2238-2247.

丁锦, 姜文刚. 基于拉丁超立方算法的永磁同步电机设计优化[J]. 电机与控制应用, 2023, 50(8): 66-72. DING Jin, JIANG Wengang. Design optimization of permanent magnet synchronous motor based on Latin hypercube algorithm[J]. Electric Machines & Control Application, 2023, 50(8): 66-72.

IMRAN M M H, JAMALUDIN S, AYOB A F M. A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: a comprehensive analysis of ANN and RF models[J]. Ocean Engineering, 2024, 295: 116796.

张驰, 郭媛, 黎明. 人工神经网络模型发展及应用综述[J]. 计算机工程与应用, 2021, 57(11): 57-69. ZHANG Chi, GUO Yuan, LI Ming. Review of development and application of artificial neural network models[J]. Computer Engineering and Applications, 2021, 57(11): 57-69. (上接第1491页)

MICHAEL N E, BANSAL R C, ISMAIL A A A, et al. A cohesive structure of bi-directional long-short-term memory (BiLSTM)-GRU for predicting hourly solar radiation[J]. Renewable Energy, 2024, 222: 119943.

SAJJAD M, KHAN Z A, ULLAH A, et al. A novel CNN-GRU-based hybrid approach for short-term residential load forecasting[J]. IEEE Access, 2020, 8: 143759-143768.

王辉, 邹智超, 李欣, 等. 基于VMD-ISSA-GRU组合模型的短期风电功率预测[J]. 热力发电, 2024, 53(5): 122-131. WANG Hui, ZOU Zhichao, LI Xin, et al. Short-term wind power prediction based on VMD-ISSA-GRU comprehensive model[J]. Thermal Power Generation, 2024, 53(5): 122-131.

周建新, 王雷, 吴海姬, 等. 基于支持向量回归的大容量机组主蒸汽流量建模[J]. 热能动力工程, 2008, 23(2): 122-126. ZHOU Jianxin, WANG Lei, WU Haiji, et al. A modeling of the main steam flow rate of a high-power steam turbine based on a support vector regression[J]. Journal of Engineering for Thermal Energy and Power, 2008, 23(2): 122-126.

张维平, 赵文蕾, 李国强, 等. 基于粗糙集与最小二乘支持向量回归的汽轮机主蒸汽流量预测[J]. 计量学报, 2015, 36(1): 43-47. ZHANG Weiping, ZHAO Wenlei, LI Guoqiang, et al. Forecasting of turbine main steam flow based on rough sets and least squars support vector machine regression[J]. Acta Metrologica Sinica, 2015, 36(1): 43-47.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Study on Flow and Transient Structural Response Characteristics of the Jacking Oil System in the Gas Turbines

Effect of Fractal Characteristics on Dynamic Response of Bionic Floating Wind Turbine Platform

Multi-objective Optimal Maintenance Decision-making of Gas Turbine Blades Based on WPHM and Non-dominated Genetic Algorithm

Electro-Thermal Characteristic Study and Optimization of Thermal Power Units Coupled Steam Energy Storage

Ash Behavior and Slagging Characteristics in Co-firing of Arundo Donax with Typical Coals

Related Author

WANG Gang

MA Qiang

XIONG Huimin

XIN Gongming

LIU Bo

XU Zewei

YANG Jiangang

SHEN Deming

Related Institution

Shandong Electric Power Engineering Consulting Institute Corp., Ltd.

School of Nuclear Science, Energy and Power Engineering, Shandong University

National Engineering Research Center of Turbo-Generator Vibration, Southeast University

Nanjing Sciyon Wisdom Technology Group Co., Ltd.

Key Laboratory of Thermal Process Intelligent Control of Jiangsu Province

AI问答

⁰