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

氢气生产（电解槽）和使用设备的可靠性建模

• 批准号: 2890205
• 金额: --
• 依托单位: Loughborough University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2890205
• 关键词: Reliability; modelling; equipment; engaged; production

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

该项目旨在提高氢气生产（电解槽）和使用设备的可靠性并减少其退化。高度可靠且持久的系统对于成功采用和部署新技术至关重要。不可靠产品的发布可能会破坏原本有前途的技术的成功。尽管电解槽和氢用户构成了绿色氢经济的技术基石，但对其在电池和系统层面的可靠性研究却很少。该项目将采用先进的可靠性技术来建立参与生产的设备的可靠性和退化模型（电解槽）和氢气的使用。这些模型将用于检查这些系统的可靠性，建立关键的故障路径和降低风险和减少停机时间所需的预防措施。该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彩色培养网。这些将通过机器学习方法得到增强，以提供预测不同应用中的寿命的能力。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。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”功能。 可交付成果 - 生产设备的开源实验降解数据集，参与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