个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 现任中国工程热物理学会流体机械专委员会委员、中国航空学会学轻型燃气轮机分会委员、教育部重型燃气轮机教学资源库专家委员会委员、辽宁省能动类专业教指委副主任、大连市核事故应急指挥部专家组成员等职。
性别:女
毕业院校:大连理工大学
学位:硕士
所在单位:能源与动力学院
电子邮箱:dlwxf@dlut.edu.cn
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.