基于㶲分析的燃料电池两级空压机优化方法

孙秀秀; 孟琪; 孙腾腾; 许红静; 张前; 张中原

doi:10.19912/j.0254-0096.tynxb.2024-1340

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (12) : 136-141. DOI: 10.19912/j.0254-0096.tynxb.2024-1340

基于㶲分析的燃料电池两级空压机优化方法

孙秀秀^1,2, 孟琪^1,2, 孙腾腾³, 许红静^1,2, 张前^1,2, 张中原^1,2

作者信息 +

OPTIMIZATION METHOD OF FUEL CELL TWO-STAGE AIR COMPRESSOR BASED ON EXERGY ANALYSIS

Sun Xiuxiu^1,2, Meng Qi^1,2, Sun Tengteng³, Xu Hongjing^1,2, Zhang Qian^1,2, Zhang Zhongyuan^1,2

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摘要

基于燃料电池空压机试验平台测试两级空压机气动性能,并以此验证仿真模型的准确性。为提高两级空压机气动性能,利用仿真模型结合㶲分析方法研究两级空压机各部件㶲损分布及大小。结果表明：高压级㶲损比低压级高58.06 J,而高压级叶轮㶲损占整个高压级㶲损的54%。通过对叶轮㶲损因素分析发现湍流引起的不可逆损失是导致其㶲损最主要原因。

Abstract

To improve the aerodynamic performance of two-stage air compressors, a CFD model was developed and then verified via the experiments carried out on a fuel cell air compressor test bench. Based on this model, the distribution and magnitude of exergy loss for each componentwere derived. The results indicates that the exergy loss at the high-pressure end is 58.06 J higher than the low-pressure end. The exergy loss of impeller accounts for 54% of the total exergy loss at the high-pressure end. The loss factor analysis reveals that irreversible loss due to turbulence is the primary contribution.

导出引用

孙秀秀, 孟琪, 孙腾腾, 许红静, 张前, 张中原. 基于㶲分析的燃料电池两级空压机优化方法[J]. 太阳能学报. 2025, 46(12): 136-141 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1340

Sun Xiuxiu, Meng Qi, Sun Tengteng, Xu Hongjing, Zhang Qian, Zhang Zhongyuan. OPTIMIZATION METHOD OF FUEL CELL TWO-STAGE AIR COMPRESSOR BASED ON EXERGY ANALYSIS[J]. Acta Energiae Solaris Sinica. 2025, 46(12): 136-141 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1340

中图分类号： TK91

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