Recent advances in the modeling of fundamental processes in liquid metal batteries
Recent advances in the modeling of fundamental processes in liquid metal batteries
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DOI：
10.1016/j.rser.2022.112167
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发表时间：
2022-04
影响因子：
15.9
通讯作者：
Daksh Agarwal;Rakesh Potnuru;Chiranjeev Kaushik;Vinay Rajesh Darla;Kaustubh Kulkarni;A. Garg;R. Gup
中科院分区：
文献类型：
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作者：
Daksh Agarwal;Rakesh Potnuru;Chiranjeev Kaushik;Vinay Rajesh Darla;Kaustubh Kulkarni;A. Garg;R. Gup
液态金属电池（LMB）有可能成为电网规模储能的一种具有成本效益的解决方案，以克服可再生能源发电的不稳定性，并促进峰值负荷要求的管理。与其他类型的电池相比，它们具有显著的优势，例如高功率密度和可循环性，使用地球丰富的材料，自我修复能力，高库仑效率和易于扩展。要成功地将LMB用于网格存储，需要彻底了解控制LMB性能的底层过程，以防止在更高的存储容量下产生任何不利影响。然而，在这个相对较新的领域中，大多数研究工作都集中在开发新的电极材料，以实现更高的性能和更低的工作温度。在这篇综述中，我们专注于其他关键方面，如传热传质，电势，不稳定性，高温密封和充电状态，这是至关重要的LMB的功能。总结了目前已经发展起来的用于研究LMB的这些过程和属性的模型，以及它们的学习进展。此外，LMBs建模研究的挑战和前景，预计将显着有助于开发一个综合的模型，结合这些影响，将提供深入了解LMBs的设计和操作条件的优化，从而加速规模化和商业化。
Liquid Metal Batteries (LMBs) have a potential to emerge as a cost-effective solution for grid-scale energy storage to overcome the intermittency of renewable energy generation and to facilitate the management of peak loading requirements. They have significant advantages over other battery types such as high-power density and cyclability, use of earth-abundant materials, self-healing capability, high coulombic efficiency, and ease of scalability. The successful adoption of LMBs for grid storage requires a thorough understanding of the underlying processes that govern the performance of LMBs to prevent any detrimental effects at higher storage capacities. However, most of the research work in this relatively new field has focused on developing new electrode materials to achieve higher performance and lower operating temperature. In this review, we focus on other critical aspects such as heat and mass transfer, electric potential, instabilities, high temperature sealing and state of charge, which are vital to the functioning of LMBs. The models that have been developed to study these processes and attributes of LMBs, and their learning advancements have been summarized. Moreover, the challenges and outlook of research on modeling of LMBs are presented which are expected to significantly contribute to the development of a comprehensive model combining these effects that will offer insights into optimization of design and operating conditions of LMBs resulting in accelerated scaling and commercialization.