离心式压缩机性能预测方法综述

doi:10.19799/j.cnki.2095-4239.2023.0361

储能科学与技术 ›› 2023, Vol. 12 ›› Issue (11): 3435-3444.doi: 10.19799/j.cnki.2095-4239.2023.0361

离心式压缩机性能预测方法综述

王凯轩¹^,²(), 左志涛¹^,²^,³, 梁奇¹, 郭文宾¹, 陈海生¹^,²^,³()

^1.中国科学院工程热物理研究所，北京 100190
^2.中国科学院大学，北京 100049
^3.毕节高新技术产业开发区国家能源大规模物理储能技术研发中心，贵州毕节 551712

收稿日期:2023-05-25 修回日期:2023-08-15 出版日期:2023-11-05 发布日期:2023-11-16
通讯作者: 陈海生 E-mail:wangkaixuan@iet.cn;chen_hs@iet.cn
作者简介:王凯轩(1998—)，男，硕士，研究方向为压缩空气储能系统压缩机变工况联合调节，E-mail：wangkaixuan@iet.cn；
基金资助:
国家科技重大专项(J2019-Ⅱ-0009-0029),内蒙古自治区科技计划(2021ZD0030);国家自然科学基金(52106278)

Performance prediction methods for centrifugal compressors： A review

Kaixuan WANG¹^,²(), Zhitao ZUO¹^,²^,³, Qi LIANG¹, Wenbin GUO¹, Haisheng CHEN¹^,²^,³()

^1.Institute of Engineering Thermophysics, Chinese Academy of Science, Beijing 100190, China
^2.University of Chinese Academy of Science, Beijing 100049, China
^3.National Energy Large Scale Physical Energy Storage Technologies R&D Center of Bijie High-tech Industrial Development Zone, Bijie 551712, Guizhou, China.

Received:2023-05-25 Revised:2023-08-15 Online:2023-11-05 Published:2023-11-16
Contact: Haisheng CHEN E-mail:wangkaixuan@iet.cn;chen_hs@iet.cn

摘要/Abstract

摘要：

压缩空气储能被认为是最具发展前景的大规模物理储能技术之一，压缩机作为其关键部件对系统整体性能具有重要影响。离心式压缩机具备大流量、高压比、宽工况的运行特性，在压缩空气储能领域相对其他类型压缩机更具优势。受固定容积储气装置充气特性影响，压缩机常运行于非设计工况，对压缩机性能进行准确预测可提高系统效率，减少研发投入。20世纪50年代起，国内外学者对离心式压缩机性能预测开展了大量研究，建立了多种性能预测方法。本文将性能预测方法分为机理建模类、相似换算类与数据驱动类，在总结各方法基本原理及研究进展的基础上，定性分析了各方法在建模周期、预测精度、可移植性及适用场景等方面的差异，并对性能预测未来发展趋势进行了展望，旨在为离心式压缩机性能预测方法的研究与应用提供指导。

关键词: 离心式压缩机, 性能预测, 压缩空气储能

Abstract:

Compressed-air energy storage is considered the most promising large-scale physical energy-storage technology; in addition, the compressor, as a key component, has an important impact on the overall performance of the system. In this field, centrifugal compressors have advantages over other types of compressors with characteristics of large flow, high pressure ratio, and wide operating conditions. Owing to the influence of the charging characteristics of the fixed-volume gas-storage device, the compressor often functions in the off-design condition. The accurate prediction of the compressor's performance can improve system efficiency and reduce R&D investment. Since the 1950s, considerable amount of research has been conducted on the performance prediction of centrifugal compressors and various performance prediction methods have been established. In this paper, performance prediction methods are categorized into mechanism modeling, similarity conversion, and data-driven models. According to the summarization of the basic principles and research progress of each method, the differences of each method in terms of the modeling cycle, prediction accuracy, portability, and application scenarios are qualitatively analyzed, and the future development trend of performance prediction is prospected. The findings of this study could guide in the research and application of the performance prediction method to centrifugal compressors.

Key words: centrifugal compressors, performance prediction, compressed air energy storage

中图分类号:

TK 02

王凯轩, 左志涛, 梁奇, 郭文宾, 陈海生. 离心式压缩机性能预测方法综述[J]. 储能科学与技术, 2023, 12(11): 3435-3444.

Kaixuan WANG, Zhitao ZUO, Qi LIANG, Wenbin GUO, Haisheng CHEN. Performance prediction methods for centrifugal compressors： A review[J]. Energy Storage Science and Technology, 2023, 12(11): 3435-3444.

图/表 8

表1

损失模型类型"

流通部件	损失模型	公式
吸气室	吸气室损失	$Δ h I N L = ξ i c C 12 2$ ^[13]
进口导叶	进口导叶损失	$Δ h I G V = e S K E$ ^[13]
进口导叶	叶轮进口冲角损失	$Δ h I N C = W L 2 / 2$ ^[13]
叶轮损失模型	叶片表面摩擦损失	$Δ h S F = 2 C f L B d H B W 2$ ^[14]
	叶片载荷损失	$Δ h B L = 0.05 D f 2 U 22$ ^[13]
	叶片尾迹混合损失	$Δ h R C = 0.02 t a n α 2 - 1 / 2 D f 2 U 22$ ^[13]
扩压器	无叶扩压器	$Δ h d i f = ξ v l c 32 2$ ^[15]
扩压器	有叶扩压器	$Δ h d i f = ξ v C 32 2 + ξ s h u 22 2 D 2 D 3 2 1 - φ r φ r 0 2$ ^[15]
蜗壳	蜗壳损失	$Δ h v o l = ξ v o l C 42 2$ ^[15]
回流器及弯管	混合损失	$Δ h i n c, R C = 0.8 1 - c m 6 c 6 s i n α$ ^[16]
回流器及弯管	冲角损失	$Δ h m i x, R C = c m, w a k e - c m, m i x c 6 2$ ^[16]

表1

图1

图2

图3

图4

图5

图6

表2

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性能预测方法		建模周期	预测精度	可移植性	适用类型	应用场景
机理建模类	数值模拟	长	高	较差	单级/多级	设计优化
机理建模类	损失模型	较短	较高	好	单级/多级	设计优化
相似换算类	级性能叠加法	短	较差	较好	多级	工业应用
相似换算类	性能换算法	短	较差	较好	单级	工业应用
数据驱动类	拟合函数法	较短	较差	差	单级/多级	工业应用
数据驱动类	智能算法	较长	较高	差	单级/多级	工业应用

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离心式压缩机性能预测方法综述

Performance prediction methods for centrifugal compressors： A review

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