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    杨金广

    • 研究员     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:西北工业大学
    • 学位:博士
    • 所在单位:能源与动力学院
    • 办公地点:能动楼611

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    Aerodynamic design optimization of radial-inflow turbine in supercritical CO2 cycles using a one-dimensional model

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    论文类型:期刊论文

    发表时间:2018-06-01

    发表刊物:ENERGY CONVERSION AND MANAGEMENT

    收录刊物:SCIE、EI

    卷号:165

    页面范围:827-839

    ISSN号:0196-8904

    关键字:S-CO2 power cycles; Radial-inflow turbine; 1D model; Loss correlations; CFD validation; Design optimization

    摘要:The supercritical CO2 (S-CO2) power cycles have been receiving an increasing amount of attention due to their advantages, which include high efficiency, compactness, environmentally friendliness, etc. The radial-inflow turbine (RIT) is a key component of small-scale S-CO2 cycles, and its efficiency has a significant impact on the cycle efficiency. In this paper, an optimization design approach is proposed to quickly acquire a preliminary optimal MT configuration when S-CO2 is applied as working fluid. The approach combines a one-dimensional (1D) design method and an optimization algorithm. Firstly, based on the 1D thermodynamic model, two programs have been developed for the S-CO2 RITs preliminary design and off-design performance predictions. Secondly, an optimum set of loss correlations has been found and validated to accurately predict various losses of the S-CO2 RITs. Finally, the optimization is carried out to maximize the total-static efficiency of the S-CO2 RITs. The results show that the predicted performance using the loss correlations set found in this paper agree well with both the experimental and the CFD simulation results. In addition, an S-CO2 MT design using the proposed optimization design approach has a superior performance under design and off-design conditions.