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基于一维损失模型的滑压运行与填充床蓄热绝热压缩空气储能系统的优化设计
Optimization design of an adiabatic compressed air energy storage system with sliding pressure operation and packed bed thermal energy storage based on a one-dimensional loss model
| 作者 | Gangqiang Gea · Xuchao Cai · Hao Sun · Yufei Zhang · Huanran Wang · Ruixiong Li |
| 期刊 | Energy Conversion and Management |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 328 卷 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | Optimization design of the [centrifugal compressor](https://www.sciencedirect.com/topics/engineering/centrifugal-compressor "Learn more about centrifugal compressor from ScienceDirect's AI-generated Topic Pages") based on a one-dimensional loss model. |
语言:
中文摘要
摘要 在压缩空气储能系统中,储气洞穴体积有限导致压缩空气在运行过程中压力发生显著变化。采用滑压模式运行压缩机和膨胀机可有效减少节流引起的㶲损失,从而提高系统整体效率。然而,在滑压运行模式下,压缩机出口温度升高会导致传统双罐式蓄热系统中不同温度流体混合,产生较大的㶲损失。本研究提出一种将滑压运行与填充床蓄热相结合的绝热压缩空气储能系统。建立了压缩机的一维损失模型,实现了对滑压条件下耦合特性的分析。所建立的一维损失模型相较于通用性能模型具有显著更高的精度。通过进口导叶调节、质量流量控制和转速调节优化后的压缩机,在非设计工况下仍能实现超过84.4%的绝热效率。此外,在滑压模式下,填充床蓄热系统的效率高于定压运行模式。在所分析的各种配置中,滑压运行与填充床蓄热集成的系统展现出最高的往返效率,达到72.6%,相较基准方案提升了11.6%。
English Abstract
Abstract In compressed air energy storage systems, the finite volume of the storage cavern leads to substantial variations in the pressure of the compressed air throughout the operational process. Operating the compressor and expander in sliding pressure mode can effectively reduce exergy losses associated with throttling, thereby improving the overall efficiency of the system. However, in sliding pressure operation mode, the increase in the compressor’s outlet temperature introduces substantial exergy losses in traditional dual-tank thermal energy storage due to the mixing of fluids at different temperatures. This study proposes an adiabatic compressed air energy storage system that integrates sliding pressure operation with packed bed thermal energy storage. A one-dimensional loss model for the compressor is developed, enabling an analysis of the coupling characteristics under sliding pressure conditions. The developed one-dimensional loss model demonstrates significantly improved accuracy over the general performance model. The optimized compressor, employing inlet guide vane adjustment, mass flow control, and speed regulation, achieves an adiabatic efficiency of over 84.4% under off-design conditions. Furthermore, the packed bed thermal energy storage in sliding pressure mode has higher efficiency compared to constant pressure operation. Among the various configurations analyzed, the integration of sliding pressure operation with packed bed thermal energy storage demonstrates the highest round trip efficiency of 72.6%, achieving an improvement of 11.6%.
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SunView 深度解读
该滑压运行压缩空气储能技术对阳光电源ST系列储能系统具有重要借鉴价值。研究提出的一维损失模型和滑压优化策略,可应用于PowerTitan等大规模储能系统的能量管理优化,通过动态压力调节减少节流损失,提升系统往返效率达72.6%。填充床储热技术与滑压运行的耦合设计思路,可启发ST系列PCS在变工况下的控制策略优化,特别是在长时储能场景中通过精细化热管理和压力协同控制,提升整体能效。该技术的84.4%绝热效率目标,为阳光电源储能变流器在宽负荷范围内的效率优化提供了参考基准,可结合iSolarCloud平台实现预测性能量调度和设备全生命周期效率管理。