Corresponding-point methodology for physical energy storage system analysis and application to compressed air energy storage system

Huan Guo, Yujie Xu, Haisheng Chen, Xinjing Zhang and Wei Qin

Energy, 2018, vol. 143, issue C, 772-784

Abstract: In traditional thermodynamic analysis methods, the strong physical relationship between energy charge and discharge processes is usually underestimated, as well as being weak in exploring the energy transfer mechanism of physical energy storage (PES) systems. Aiming at this problem, a new method, corresponding-point methodology (CPM), for analyzing and optimizing PES systems is proposed on the basis of the correspondence of the system flow, and its application to compressed air energy storage (CAES) system is conducted in this paper. Meanwhile, a diagram of thermal exergy and mechanical exergy (Eth−Emech diagram), which reflects not only energy loss but also the quantity of stored energy, is proposed in a complex plane. This method, along with Eth-Emech diagram, focuses on analyzing the corresponding processes rather than the single process of the CAES. Some indicators of corresponding-point separation, corresponding quotient, intersection angle and optimum object, are proposed, thereby making the analysis and optimization of the CAES system more efficient and explicit. For two typical corresponding processes, the relationship of thermal and mechanical exergy variations is revealed. Finally, CPM is used to analyze a supercritical compressed air energy storage system, and the system efficiency is improved by 9.2% points after CPM analysis and optimization.

Keywords: Corresponding-point methodology; Physical energy storage; Compressed air energy storage system; System optimization (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:143:y:2018:i:c:p:772-784

DOI: 10.1016/j.energy.2017.10.132

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