Reliability modelling of equipment engaged in the production (electrolysers) and usage of hydrogen

该项目旨在提高可靠性，减少生产和使用氢的设备（电解槽）的退化。高度可靠和持久的系统对于成功采用和部署新技术至关重要。一个不可靠的产品的发布可能会破坏一个有前途的技术的成功。尽管电解器和氢的使用者构成了绿色氢经济的技术基石，但在电池和系统水平上对其可靠性的研究却很少。本项目将使用先进的可靠性技术，建立从事氢生产（电解器）和使用的设备的可靠性和退化模型。这些模型将被用来检查这些系统的可靠性，建立关键路线的故障和预防措施，以减轻风险，减少停机时间。研究还将建立新的方法来评估可靠性，利用确定性的物理为基础的模型与随机有色Petri网的杂交。这些将通过机器学习方法进行增强，以提供在不同应用中预测寿命的能力。模型将通过实验在细胞水平上进行验证，并通过数据共享和文献数据在系统水平上进行验证。新的实验策略，降低细胞/系统的性能，使准确的可靠性预测将进行调查。该实验框架将可跨应用程序转移，从而产生跨平台的“系统级”能力。可扩展性-生产实验室规模的氢气生产（电解槽）和使用设备的开源实验降解数据集。- 从事氢气生产（电解槽）和使用的开源可靠性模型设备

This project aims to improve reliability and reduce degradation in equipment engaged in the production (electrolysers) and usage of hydrogen. Highly reliable and long-lasting systems are essential for the successful uptake and deployment of novel technologies. The release of an unreliable product can undermine the success of an otherwise promising technology. Despite electrolysers and users of hydrogen forming a technology cornerstone of a green hydrogen economy, there is very little research on their reliability at both the cell and system level.This project will use advanced reliability techniques to establish reliability and degradation models equipment engaged in the production (electrolysers) and usage of hydrogen. These models will be used to examine the reliability of these systems, establishing key routes to failure and preventative action required to mitigate risk and reduce downtime.The research will also establish new methodologies for assessing reliability, utilising the hybridisation of deterministic physics-based models with stochastic coloured petri nets. These will be augmented with machine learning methods to give capability for predicting lifetime in different applications. Models will be validated at the cell level through experiments and at the system level through data sharing and literature data. Novel experimental strategies for degrading cell/system performance to enable accurate reliability prediction will be investigated. This experimental framework will be transferable across applications yielding a 'system level' capability across platforms.Deliverables -Production of open-source experimental degradation dataset of equipment, engaged in the production (electrolysers) and usage of hydrogen at lab scale. -Open-source reliability model equipment engaged in the production (electrolysers) and usage of hydrogen