一个多功能优化框架,用于多孔电极设计
Maxime van der Heijden1, Gabor Szendrei1, Victor de Haas1
1Electrochemical Materials and Systems, Department of Chemical Engineering and Chemistry, Eindhoven University of Technology PO Box 513 5600 MB Eindhoven Netherlands a.forner.cuenca@tue.nl m.v.d.heijden@tue.nl szendrei.gabor09@gmail.com v.d.haas@student.tue.nl.
概括
优化氧化还原流电池的多孔电极对于提高性能至关重要. 本研究介绍了一个计算框架,用于设计针对特定操作条件和化学物质的先进电极.
科学领域:
- 电化学工程 电化学工程
- 材料科学 材料科学 材料科学
- 计算建模 计算建模
背景情况:
- 多孔电极对氧化还原流电池性能至关重要,影响电化学反应和送要求.
- 目前的电极设计往往对于对流增强的电化学过程来说是不理想的,需要有针对性的优化.
- 开发先进的电极是提高氧化还原流电池效率和容量的关键.
研究的目的:
- 开发和介绍一个优化框架,用于孔电极的自下而上的设计.
- 将遗传算法与毛孔网络建模配对,用于全面的电极设计.
- 研究几何变化,操作条件和电化学系统对电极性能的影响.
主要方法:
- 为了电极设计,利用了与毛孔网络建模框架集成的遗传算法.
- 整合了孔隙合并和分裂功能,以引入几何多功能性.
- 分析了优化参数,几何定义,目标函数和流域设计.
- 对不同反应堆架构,操作条件和氧化还原化学 (VO2+/VO2+和TEMPO/TEMPO+) 的设计进行了评估.
主要成果:
- 证明了针对特定反应堆架构和操作条件优化电极几何学的必要性.
- 确定缓慢的电解质受益于有小孔和高表面积的电极.
- 发现易电解质需要具有低曲度和高液压导电性的电极以获得最佳性能.
- 展示了计算工具在各种电极形态,流场和化学学的适应性.
结论:
- 开发的计算框架使下一代可用于氧化还原流电池的多孔电极的设计成为可能.
- 优化的电极设计高度依赖于特定的电解质特性 (动力学,导电性) 和反应器配置.
- 该工具可以扩展到设计各种电化学技术和操作条件的高性能电极材料.
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