Work

Matching performance analysis method of multi-compressor series-parallel system for compressed air energy storage

Year: 2025

Type: article

Abstract: The multi-compressor series-parallel system is widely applied in compressed air energy storage (CAES), where it faces complex off-design conditions and often highly simplifies the modelling of compressor performances and operations. This paper presents a matching analysis method for multi-compressor series-parallel systems based on two-dimensional (2D) through-flow method to predict accurately the impact of choking, stall and other operation limits on efficiency and reliability. A prediction tool is developed integrating 2D streamline curvature (SLC) codes for compressors with 1D models for pipeline components. Matching Analysis of compressors with variable rotational speed and guide vanes is conducted for a CAES compression system under typical loadings. Feasible operational windows with optimized operation points are identified accounting for efficiency and stall margin. Matching performance and control strategies for start/stop processes of the system is analyzed, incorporating regulation of rotational speed, variable guide vanes (VGVs) and bypass bleeding. A reliable strategy for compressors is proposed to achieve synchronized startup based on quasi-steady analysis. This analysis method provides theoretical guidance for design, operation, and control of multi-compressor series-parallel systems in CAES applications.

Source: Journal of Energy Storage

DOI: 10.1016/j.est.2025.117299

Authors: Xiaochen Wang, Chunwei Gu

Institution: Tsinghua University

Language: English

Topic: Turbomachinery Performance and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $3,560