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

该项目旨在提高氢气生产设备(电解槽)和氢气使用设备的可靠性，减少设备的退化。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。发布一款不可靠的产品可能会破坏一项原本很有前途的技术的成功。尽管电解槽和氢气用户构成了绿色氢气经济的技术基石，但在电池和系统层面上对它们的可靠性研究很少。该项目将使用先进的可靠性技术来建立可靠性和退化模型，包括生产(电解槽)和使用氢气的设备。这些模型将被用来检查这些系统的可靠性，建立导致故障的关键路径和所需的预防措施，以降低风险和减少停机时间。研究还将建立评估可靠性的新方法，利用基于确定性物理的模型与随机有色Petri网的混合。这些将通过机器学习方法来增强，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层面进行验证，并通过数据共享和文献数据在系统层面进行验证。将研究降低电池/系统性能以实现准确可靠性预测的新实验策略。这一实验框架将可跨应用程序移植，从而产生跨平台的“系统级”能力。交付内容--生产开放源码的实验降解设备数据集，从事实验室规模的氢气生产(电解槽)和使用。-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