From theory to practice: Evaluating the thermodynamic design landscape of compressed air energy storage systems

Huan Guo, Yujie Xu, Haoyuan Kang, Wenbing Guo, Yu Liu, Xinjing Zhang, Xuezhi Zhou and Haisheng Chen

Applied Energy, 2023, vol. 352, issue C, No S0306261923012229

Abstract: Compressed air energy storage (CAES) systems offer significant potential as large-scale physical energy storage technologies. Given the increasing global emphasis on carbon reduction strategies and the rapid growth of renewable energy sources, CAES has garnered considerable attention. However, the optimal design of CAES systems presents challenges due to the intricate coupling of multiple parameters, complex physical processes, and highly variable operating conditions. This paper comprehensively reviews three key aspects related to CAES optimal design. Firstly, it examines system analysis and optimization methodologies. Secondly, it investigates the off-design characteristics of CAES systems. Lastly, it explores system design methodologies specifically addressing off-design operations. Notably, the corresponding-point methodology (CPM) is proposed as a means to provide clearer guidance for system improvements. Future research should aim to combine CPM with traditional methods to establish more efficient and intuitive system optimization approaches. Furthermore, the exploration of active off-design regulation strategies, including the integration of various adjustment methods and multistage combined regulation for CAES systems experiencing wide load fluctuations, requires further investigation. Novel CAES configurations that enable efficient off-design conditions should also be explored, despite the inherent complexities associated with regulation and control. Finally, a coupled design methodology based on off-design operation data and probabilistic-load factor analysis is presented. This paper provides valuable insights and guidance for the optimal design and study of CAES systems.

Keywords: Compressed air energy storage; System design methodology; Renewable energy; Coupling; Off-design characteristics (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.apenergy.2023.121858

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