针对简化部件模型导致S-CO2布雷顿循环在非设计工况下性能偏离实际的问题,基于可变效率的旋转机械部件一维预测模型,构建集成系统仿真程序,研究非设计工况条件下关键参数对部件及系统热力学性能的影响规律,并分析一维预测模型与传统等效率简化模型在系统整体性能上的偏差。研究表明：主压缩机进口温度升高导致CO2密度降低,进而引起主压缩机耗功增加;然而,在系统压损和涡轮效率共同作用下,涡轮输出功率呈现相反的变化趋势。系统效率随主压缩机入口温度的升高而降低,且在低入口压力条件下降幅更显著,最大降幅出现在吸气压力7.68 MPa时,为11.6%;当主压缩机进口接近伪临界点时,系统输出较高热效率。对比分析表明,简化模型与维预测模型的系统效率最大偏差达到6.6%。
Abstract
To address the performance deviation of simplified component models for S-CO2 Brayton cycles under off-design conditions, this study establishes an integrated system simulation program based on one-dimensional predictive models incorporating variable efficiency for rotating machinery components. The program investigates the influence patterns of key parameters on the thermodynamic performance of both components and the system under off-design operation. Furthermore, it analyzes the deviation in overall system performance between the one-dimensional predictive models and traditional simplified constant-efficiency models. The research findings demonstrate that an increase in the main compressor inlet temperature results in reduced CO2 density, consequently leading to increased power consumption by the main compressor. However, under the combined effects of system pressure losses and turbine efficiency, the turbine output power exhibits an opposing trend. System efficiency decreases with rising main compressor inlet temperature, with a more pronounced reduction observed under lower inlet pressure conditions. The maximum efficiency reduction of 11.6% occurs at a suction pressure of 7.68 MPa. Higher system thermal efficiency is achieved when the main compressor inlet parameters approach the pseudo-critical point. Comparative analysis reveals that the maximum discrepancy in system efficiency between the simplified model and the one-dimensional predictive model reaches 6.6%.
关键词
压缩机 /
布雷顿循环 /
涡轮 /
一维预测模型 /
S-CO2 /
进口参数
Key words
compressor /
Brayton cycle /
turbine /
one-dimensional prediction model /
S-CO2 /
inlet parameters
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基金
山东省自然科学基金青年基金（ZR2022QE166）; 山东省科技型中小企业创新能力提升工程项目（2022TSGC2262）
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