Experimental study of an axial compressor cascade based on bionic-wavy leading edges for compressed air energy storage systems

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS
Longye Zheng, Cong Zeng, Shaowen Chen
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引用次数: 0

Abstract

Compressed Air Energy Storage (CAES) is a highly promising technology. This paper focuses on the detailed optimization design of axial compressors with bionic-wavy leading edges for CAES systems, aiming to enhance the safety and economic efficiency of the system. Using low-speed wind tunnel cascade experiments, five-hole probe sweep measurements, and oil flow visualization methods, the study validates the aerodynamic performance improvements of the new bionic-wavy leading-edge design for compressor cascades and analyzes the secondary flow mechanisms within the cascades. The results indicate that the bionic wavy leading edge significantly reduces total pressure loss across an incidence angle range of −24° to 4°, with a maximum loss reduction of 31.3 %, which is over three times the improvement observed in existing studies. Furthermore, this biomimetic design achieves favorable performance over a wider range of incidence angles compared to previous studies. The research reveals the mechanisms of action for the bionic-wavy leading edge at different incidence angles: it alleviates large-scale backflow on the suction surface at positive incidence angles and reduces near‑leading-edge backflow and pressure surface corner separation at negative incidence angles. These findings provide valuable guidance for the design of advanced compressors.
基于仿生波浪形前缘的压缩空气储能系统轴流压缩机级联实验研究
压缩空气储能(CAES)是一项极具前景的技术。本文重点研究了用于 CAES 系统的具有仿生波浪形前缘的轴向压缩机的详细优化设计,旨在提高系统的安全性和经济效益。研究采用低速风洞级联实验、五孔探头扫描测量和油流可视化方法,验证了新型仿生波浪形前缘设计对压缩机级联气动性能的改善,并分析了级联内的二次流动机制。结果表明,仿生波浪形前缘在入射角-24°到4°范围内显著降低了总压力损失,最大损失降低了31.3%,是现有研究中观察到的改善效果的三倍多。此外,与之前的研究相比,这种生物仿生设计在更大的入射角范围内都取得了良好的性能。研究揭示了仿生波浪形前缘在不同入射角下的作用机制:在正入射角下,它能减轻吸力面上的大规模回流;在负入射角下,它能减少近前缘回流和压力面角分离。这些发现为先进压缩机的设计提供了宝贵的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
期刊介绍: Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.
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