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Aerodynamic design and multi-dimensional performance optimization of supercritical CO_2 centrifugal compressor

机译：超临界CO_2离心式压缩机的空气动力学设计与多维性能优化

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摘要

This paper dedicates to develop a systematic approach of design and multi-dimensional performance optimization of the Supercritical carbon dioxide (SCO2) compressor. A 5 MW SCO2 simple regenerative cycle used in small scale lead-cooled fast reactor (SLFR) was firstly proposed and simulated to define the operation condition of SCO2 compressor. Under the inlet and outlet condition of 305.15 K/7.56 MPa and 22 MPa, isentropic efficiency and mass flow rate of 80% and 69.88 kg center dot s(-1) respectively was obtained. Secondly, a single stage centrifugal compressor was applied as the SCO2 compressor and one-dimensional (1D) design based on self-developed code was conducted to determine the basic geometry of the compressor, the code was verified with experiments and shows satisfactory accuracy. Additionally, CFD analysis was carried out to validate the results of 1D design and also shows good agreement. Then, three one-dimensional optimizations, two single objective optimizations using Particle Swarm Optimization (PSO) and one multi-objective optimization using Genetic Algorithm (GA), on aerodynamic efficiency of the SCO2 centrifugal compressor were performed based on 1D design code, five crucial parameters with +/- 5% variation range were optimized. The 1D optimization results show that the isentropic efficiency received an improvement of about 5 percentage points compared to that of 1D design. Lastly, three-dimensional optimization concentrated on the blade profile of impeller were conducted on a fully automatic optimization platform to further improve the isentropic efficiency of SCO2 centrifugal compressor. Wrap angle and the leading and trailing edge of the main blade were optimized. Two optimal impellers with wrap angle in the range of + 5% and 5% were obtained respectively, the former impeller got the highest pressure ratio, while the latter one gained a higher isentropic efficiency but the lowest pressure ratio over the whole operation range.
机译：本文推出了超临界二氧化碳（SCO2）压缩机的设计和多维性能优化的系统方法。首先提出和模拟用于小型铅冷却的快速反应器（SLFR）的5 MW SCO2简单的再生循环，以定义SCO2压缩机的操作条件。在305.15K / 7.56MPa和22MPa的入口和出口条件下，分别获得80％和69.88kg中心S（-1）的等熵效率和质量流速。其次，应用单级离心式压缩机作为SCO2压缩机和基于自我开发的代码的一维（1D）设计，以确定压缩机的基本几何形状，通过实验验证了代码并显示了令人满意的精度。此外，进行了CFD分析以验证1D设计的结果，也显示出良好的一致性。然后，基于1D设计代码，执行三维优化使用粒子群优化（PSO）和一种使用遗传算法（GA）的一个多目标优化的单一客观优化，以及一种多目标优化，对SCO2离心式压缩机的空气动力学效率进行了基于1D设计代码，五个至关重要优化了具有+/- 5％变化范围的参数。 1D优化结果表明，与1D设计相比，等熵效率得到了约5个百分点的提高。最后，在全自动优化平台上进行了集中在叶轮叶片轮廓上的三维优化，以进一步提高SCO2离心式压缩机的等熵效率。优化主刀片的包扎角度和主刀片的前缘和后缘。分别获得了两种具有+ 5％和5％的包裹角度的最佳叶轮，前者叶轮具有最高的压力比，而后者的势率较高，而是在整个操作范围内的最低压力比。

著录项

  • 来源
    《Energy Conversion & Management》 |2021年第11期|114810.1-114810.22|共22页
  • 作者

    Xia Wenkai; Zhang Yicen; Yu Haibin; Han Zihao; Dai Yiping;

  • 作者单位

    Xi An Jiao Tong Univ Sch Energy & Power Engn Inst Turbomachinery State Key Lab Multiphase Flow Power Engn Xian 710049 Shaanxi Peoples R China;

    Xi An Jiao Tong Univ Sch Energy & Power Engn Inst Turbomachinery State Key Lab Multiphase Flow Power Engn Xian 710049 Shaanxi Peoples R China;

    Xi An Jiao Tong Univ Sch Energy & Power Engn Inst Turbomachinery State Key Lab Multiphase Flow Power Engn Xian 710049 Shaanxi Peoples R China;

    Xi An Jiao Tong Univ Sch Energy & Power Engn Inst Turbomachinery State Key Lab Multiphase Flow Power Engn Xian 710049 Shaanxi Peoples R China;

    Xi An Jiao Tong Univ Sch Energy & Power Engn Inst Turbomachinery State Key Lab Multiphase Flow Power Engn Xian 710049 Shaanxi Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    SCO2 centrifugal compressor; One-dimensional design; Optimization; CFD; Genetic algorithm; Particle swarm optimization;

    机译：SCO2离心式压缩机;一维设计;优化;CFD;遗传算法;粒子群优化;

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