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储能系统技术 储能系统 ★ 5.0

近似耦合发电厂与地质储能模拟用于多孔介质中的压缩空气储能

Approximating coupled power plant and geostorage simulations for compressed air energy storage in porous media

作者 Firdovsi Gasanz · Sebastian Bauer
期刊 Applied Energy
出版日期 2025年1月
卷/期 第 380 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 Developed method enables to accurately approximate PM-CAES operation processes.
语言:

中文摘要

摘要 多孔介质压缩空气储能(PM-CAES)是未来可再生能源占比达到100%的能源系统中补偿间歇性可再生能源的一种可行方案。然而,PM-CAES的设计与运行条件评估需要一个高效的耦合发电厂—地质储能模型。因此,本研究开发并评估了一种新的地质储能模型半解析解,针对三种现实的能源系统情景进行了分析。所开发的模型能够模拟典型的储能运行过程,包括充气、放气和储存阶段,同时考虑了设施与技术约束、储存气体的物理特性以及储层井的配置。我们通过两个现实的能源系统情景验证了该模型,并证明其提供了自洽的近似结果,所得储层压力、流量和容量均在全尺度地质储能模型结果的98%以内。两项情景研究表明,所设计的PM-CAES电站能够在50 MW的功率水平下持续输出3.0 GWh至6.7 GWh的能量,储能效率为53%。本研究提出的模型为PM-CAES系统提供了一个可靠且高效的全尺度数值地质储能模型的近似方法。此外,采用简化的储层模型以及井筒的半解析解法,相较于纯数值解法,计算运行时间减少了约20倍。因此,该方法能够在PM-CAES选址或规划阶段实现快速场地评估和多种情景模拟,成为优化可再生能源储能应用中系统设计与运行条件评估的有力工具。

English Abstract

Abstract Porous media compressed air energy storage (PM-CAES) is a viable option to compensate intermittent renewable sources in future energy systems with a 100 % share of renewables. However, the design and evaluation of operational conditions for a PM-CAES requires an efficient coupled power plant – geostorage model. In this study, therefore, a novel semi-analytical solution for the geostorage model is developed and evaluated with respect to three realistic energy system scenarios. The developed model is able to simulate the typical storage operation processes charging, discharging and storage, taking into account facility and technical constraints, physical properties of the stored gas and storage well configurations. We validate the model using two realistic energy system scenarios and demonstrate that it provides a consistent approximation, yielding storage pressure, rates, and capacity within 98 % of the full-scale geostorage model. Two scenario studies show that the designed PM-CAES plant delivers a continuous energy discharge of 3.0 GWh – 6.7 GWh at a power rate of 50 MW with a storage efficiency of 53 %. The model presented in this study provides a reliable and efficient approximation of the full-scale numerical geostorage model for PM-CAES systems. Moreover, the use of a simplified reservoir model and semi-analytical solutions for the boreholes yields a reduction of runtime by a factor of about 20 compared to numerical solutions. Therefore, this approach enables fast site assessment and various scenario simulations during site selection or planning for PM-CAES, making it a valuable tool for optimising the design and evaluation of operational conditions for renewable energy storage applications.
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SunView 深度解读

该多孔介质压缩空气储能(PM-CAES)技术为阳光电源大规模储能系统提供重要参考。其半解析模型可缩短运算时间20倍,适用于PowerTitan等大型储能项目的快速选址评估。53%储能效率与50MW功率输出特性,可指导ST系列PCS在长时储能场景的控制策略优化。该耦合模型思路可借鉴至iSolarCloud平台,实现储能电站与电网的高效协同仿真,提升可再生能源消纳能力和系统经济性评估精度。