Digital Twin concept and architecture for fleets of hydrogen electrolysers

Sharaf Alsharif, Nils Huxoll, Jelke Wibbeke, Tobias Grimm, Michael Brand, Sebastian Lehnhoff
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Abstract

The expected increase in green hydrogen demand in the near future necessitates scaling-up the hydrogen production plants with the goal of reducing the hydrogen production costs. Nevertheless, a quick scale-up limits the time to test new designs, optimize operation schedules and build up knowledge for production parameters. The Digital Twin concept applied on a fleet of electrolysers is proposed as a digitization tool to contribute to this scale-up process by providing a comprehensive view of the entire electrolysers fleet as well as constructing the feedback connection to the electrolysers manufacturing process. Such Fleet Digital Twin approach can improve the efficiency and scalability of green hydrogen production using water electrolysis. This paper presents a concept of a Fleet Digital Twin and discusses its architecture requirements and design. By applying the Digital Twin concept at different levels of the system, fleet knowledge services are enabled by leveraging the availability of fleet-wide data. The proposed architecture design provides a solid foundation for future development and implementation of Fleet Digital Twins in industrial applications.
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电解氢机群的数字孪生概念和架构
在不久的将来,对绿色氢气的需求预计会增加,这就要求扩大制氢设备的规模,以降低制氢成本。然而,快速扩大规模限制了测试新设计、优化运行计划和积累生产参数知识的时间。我们提出了应用于电解槽机群的数字孪生概念,作为一种数字化工具,通过提供整个电解槽机群的全面视图以及构建与电解槽生产流程的反馈连接,来促进这一扩展过程。这种 "机群数字双胞胎 "方法可以提高利用水电解法生产绿色氢气的效率和可扩展性。本文介绍了机群数字孪生系统的概念,并讨论了其架构要求和设计。通过在系统的不同层面应用数字孪生概念,利用整个车队数据的可用性实现了车队知识服务。所提出的架构设计为未来在工业应用中开发和实施车队数字孪生系统奠定了坚实的基础。
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