Session: 09-01 Compressed / Liquid Air Energy Storage

Submission Number: 174660

Off-Design Performance Analysis of a Distributed Compressed Air Energy Storage System 

Distributed compressed air energy storage (D-CAES) systems have emerged as a promising solution for renewable energy integration and regional energy optimization due to their high energy storage efficiency and multi-energy complementarity. To address the efficiency limitations of conventional energy storage systems under fluctuating pressure conditions, this paper proposes a D-CAES energy integrated utilization system and establishes a framework to evaluate its off-design performance. The proposed system consists of two compressors, two turbines, a high-pressure tank, a buffer tank and a thermal energy storage (TES) system, making the system capable for combined cooling, heating and power production. By constructing a dynamic model based on the pressure-dependent operation of high-pressure tanks, this study focuses on analyzing the impact mechanism of pressure variation on turbine operation modes, thermal efficiency, and system stability. Different control strategies are simulated and compared in terms of dynamic respond speed, thermal efficiency stability and system robustness, in order to identify the optimized operation strategies of the D-CAES system. The findings aim to provide theoretical support for dynamic response design and multi-scenario adaptive control strategies of D-CAES energy integrated utilization systems, facilitating their large-scale deployment in regional energy internet application by enabling flexible load matching with renewable energy fluctuations.

Presenting Author: Jiarui You School of Energy and Power Engineering, Xi'an Jiaotong University

Presenting Author Biography: Jiarui You receives B.S. degree in Energy and Power Engineering from Xi'an Jiaotong University, China in 2021. He is currently working towards the Ph.D degree in Energy and Power Engineering with the School of Energy and Power Engineering, Xi'an Jiaotong University. His research interests include thermal system simulation and its data reconciliation method.

Authors:

Jiarui You School of Energy and Power Engineering, Xi'an Jiaotong University
Yonghui Xie School of Energy and Power Engineering, Xi'an Jiaotong University
Yikang Liu School of Energy and Power Engineering, Xi'an Jiaotong University
Di Zhang School of Energy and Power Engineering, Xi'an Jiaotong University
Ding Wang School of Energy and Power Engineering, Xi'an Jiaotong University