Performance Optimization of a CO2 Energy Storage System Coupled with Flywheel Waste Heat Utilization
DOI:
https://doi.org/10.54097/k8b7yx53Keywords:
Carbon Dioxide Energy Storage, Flywheel Energy Storage, Waste Heat Recovery, Exergy Analysis, Aspen PlusAbstract
In the context of large-scale grid integration of renewable energy, conventional CO2 energy storage systems face two core technical bottlenecks: first, poor tolerance to electrical power input fluctuations, making it difficult to match the intermittent and volatile output characteristics of renewable sources such as wind and solar power; second, high exergy loss in heat exchangers, which significantly restricts the potential for improving overall system energy efficiency. These issues severely limit scale-up applications in long-duration energy storage. To address the sensitivity of traditional CO2 energy storage systems to power input fluctuations and the high exergy loss in heat exchangers, this paper proposes a coupled energy storage scheme featuring "Flywheel Dynamic Frequency Modulation + Waste Heat Synergistic Exchange." This approach achieves a synergistic solution to the two core problems by utilizing the flywheel to smooth power fluctuations and utilizing cascading waste heat to reduce exergy loss. An Aspen Plus thermodynamic model of the system was constructed, incorporating a Flywheel Permanent Magnet Synchronous Motor (PMSM) dynamic control module and optimizing the internal helical heat exchange structure of the rotating shaft to analyze and verify system performance for efficiency improvement and exergy loss reduction. The results indicate that under the operating conditions of an energy storage pressure ratio of 7.0 and a flywheel speed of 12,000 rpm, the system Round Trip Efficiency (RTE) reaches 77.3%, an increase of 34.7 percentage points compared to pure CO2 energy storage. The energy storage density is 12.94 kWh/m3, and heat exchanger exergy loss is reduced by 28.6%. Under conditions of ±20% power fluctuation, the flywheel frequency modulation response time is ≤0.5 s, and the system output power fluctuation amplitude is ≤5%, enabling stable adaptation to the fluctuating output characteristics of renewable energy. This coupled system provides a highly efficient and stable technical solution for long-duration energy storage under renewable energy fluctuation conditions and possesses significant engineering application value.
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[1] Xing Jiawei, Sun Shumin, Cheng Yan, Yu Peng, Liu Yiyuan. A Review of Multi-energy Flow Modeling and Simulation Techniques for Integrated Energy Systems [J]. Shandong Electric Power Technology, 2022,49(06):1-7.
[2] CHEN Haisheng, LI Hong, MA Wentao, et al. Research progress of energy storage technology in China in 2021 [J]. Energy Storage Science and Technology, 2022, 11(03): 1052-1076.
[3] C. Zheng, Y. Wu, Y. Zhang, et al., Thermodynamic analysis of a novel liquid carbon dioxide energy storage system with two-stage thermal energy storage, Energy, vol. 248, p. 123603, 2022.
[4] R. Li, H. Wang, Z. Wang, et al., Optimization of dynamic compressed CO2 energy storage system: The role of supercritical fluid properties, Energy, vol. 258, p. 124842, 2022.
[5] G. O. Cimuca, C. Saudemont, B. Robyns, and M. M. Radulescu, Control of a flywheel energy storage system associated with a wind generator, IEEE Transactions on Industrial Electronics, vol. 53, no. 2, pp. 597–605, 2006.
[6] J. Xiao, Z. Wang, and X. Zhang, Distributed cooperative control of flywheel energy storage system for frequency regulation, IEEE Transactions on Smart Grid, vol. 11, no. 6, pp. 5183–5193, 2020.
[7] Z. Li, H. Wang, and D. Liu, Design and optimization of a multi-unit axial flux permanent magnet motor for flywheel energy storage system, IEEE Transactions on Magnetics, vol. 57, no. 2, pp. 1–6, 2021.
[8] C. Wang, X. Dai, and J. Wei, "Design and analysis of cooling system for flywheel energy storage motor," Energy Storage Science and Technology, vol. 7, no. 3, pp. 462–468, 2018.
[9] Huang Ronggui. Research and Analysis on Thermal Management of Flywheel Energy Storage Systems [D]. North China Electric Power University (Beijing), 2023.
[10] IVERSON B D, CONBOY T M, PASCH J J, et al. Supercritical CO2 Brayton cycles for solar-thermal energy [J]. Applied Energy, 2013, 111: 957-970.
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