Techno-economic optimization of a packed-bed for utility-scale energy storage
Techno-economic optimization of a packed-bed for utility-scale energy storage
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DOI：
10.1016/j.applthermaleng.2019.02.134
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发表时间：
2019-05
影响因子：
6.4
通讯作者：
B. Cárdenas;T. Davenne;J. Wang;Yulong Ding;Y. Jin;Houlei Chen;Yu-ting Wu;S. Garvey
中科院分区：
文献类型：
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作者：
B. Cárdenas;T. Davenne;J. Wang;Yulong Ding;Y. Jin;Houlei Chen;Yu-ting Wu;S. Garvey
本文介绍了一种适用于大规模应用的填料床的优化设计方法。深入分析了颗粒尺寸、长径比和储存量对储库往返火用效率的影响。本文旨在为上述设计参数的取值范围提供清晰的见解，以便在设计电网规模填充床时充分考虑。模拟是使用一维模型进行的，该模型考虑了温度依赖特性和自放电损耗。填料床的假定工作温度范围为290-823 K，这是典型的CSP电厂和CAES系统。研究考虑了24 h的工作周期（充电12 h /放电12 h），可变功率（峰值10 MW），总储能需求为79.4 mh。研究发现，如果采用宽高比在0.5和0.8之间的配置，并根据容器的具体形状微调岩石的尺寸，则火用损失最小。在这项工作中，与类似的研究不同，进行了成本效益分析，表明增加储热质量可以显著提高效率。在所考虑的经济情景中，大规模高估50%会产生最低的平均存储成本。优化过程得到的优化设计长宽比为0.6，粒径为4 mm，质量高估系数为1.5。该填料床的往返能源效率为98.24%。
The optimization of a packed bed for utility-scale applications is presented in this paper. The effects that particle size, aspect ratio and storage mass have on the roundtrip exergy efficiency of the store are thoroughly analysed. The paper seeks to provide a clear insight of what ranges of values for the aforementioned design parameters are adequate to consider when designing a grid-scale packed bed. Simulations were carried out using a one-dimensional model that accounts for temperature-dependent properties and self-discharge losses. The assumed operating temperature range for the packed bed is 290–823 K, which is typical of CSP plants and CAES systems. A 24-h work cycle (12 h charge/12 h discharge) with variable power (10 MW peak) and a total energy storage requirement of 79.4 MWhthhas been considered for the study.It has been found that exergy losses are minimized if a configuration based on an aspect ratio between 0.5 and 0.8 is adopted and the size of the rocks is finely tuned for the specific shape of container. In this work—unlike similar studies—a cost-benefit analysis has been carried out, which indicates that increasing the thermal storage mass leads to a considerable increase in efficiency. A mass overrating of 50% yields the lowest levelized cost of storage for the economic scenario considered. The optimum design obtained from the optimization process has an aspect ratio of 0.6, a particle size of 4 mm and a mass overrating factor of 1.5. This packed bed attained a roundtrip exergy efficiency of 98.24%.