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Energy Storage
Article . 2025 . Peer-reviewed
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https://doi.org/10.2139/ssrn.4...
Article . 2024 . Peer-reviewed
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https://doi.org/10.22541/au.17...
Article . 2024 . Peer-reviewed
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Clarifying the Loss Mechanism of Advanced Adiabatic Compressed Air Energy Storage From the Aspects of Factors and Components

Authors: Ruochen Ding; Zhengyang Tang; Yaran Liang; Wen Su; Xinxing Lin; Zhimei Zheng; Sumin Guan;

Clarifying the Loss Mechanism of Advanced Adiabatic Compressed Air Energy Storage From the Aspects of Factors and Components

Abstract

ABSTRACTCurrently, advanced adiabatic compressed air energy storage (AA‐CAES) has been widely used, but the quantitative study of its energy loss is still unresolved. Therefore, the ideal AA‐CAES with a round‐trip efficiency (RTE) of 100% is defined to quantify the energy losses in the AA‐CAES from the aspects of factors and components, so as to clarify the loss mechanism of AA‐CAES. First, eight energy loss factors affecting the performances of AA‐CAES are identified. Then, based on component type, six components of AA‐CAES are identified. After that, to obtain the system energy flow, the corresponding thermodynamic models are developed. Finally, based on the given operating conditions, the energy losses corresponding to each factor and component are obtained sequentially using univariate analysis, and parametric analysis is carried out. The results show that in terms of energy loss factors, the storage device has the greatest impact on system performance with a compression work increment dEcharge of 72.56 MWh and an RTE of 89.21%. In terms of components, the compressors and turbines have the greatest impact on system performance. Furthermore, there is a synergistic effect among the factors. The effect of different factors acting together is greater than the superposition of individual values.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
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