Session: 13-02: Hydrogen Production and Storage

Paper Number: 158939

158939 - Facilitating data collection of maintenance events to populate the hydrogen component reliability database (HyCReD) 

Abstract: 

The Hydrogen Component Reliability Database (HyCReD) is a collaborative project between the National Renewable Energy Laboratory, the University of Maryland, and hydrogen stakeholders to improve safety and reliability for hydrogen facilities by implementing component reliability data taxonomies that support hydrogen infrastructure failure rate analysis. The project aims to quantify failure rates of hydrogen components through high quality data collection and analysis. HyCReD provides a common database for cataloguing hydrogen component failures which exists for reliability research in many other mature industries [Groth, K., et al (2024). Design and Requirements of a Hydrogen Component Reliability Database (HyCReD)]. The database fills a gap for the hydrogen community by providing a scientifically rigorous approach to quantitative risk assessment (QRA), prognostic health management (PHM), reliability-centered maintenance (RCM) analysis. High level results will be aggregated and anonymized to protect company sensitive information; detailed results will be used to help address issues of hydrogen components. These advanced analytics will support accelerated deployment of hydrogen infrastructure by enabling better:

· Design and safety of projects (safety codes and standards development)

· Infrastructure reliability and cost (component failure rates, maintenance protocols)

· Component R&D needs (robust supply chain)

A key to a successful HyCReD implementation is facilitating the ease of reporting and data quality in the database that can be used for analysis. Maintenance data was a previously identified gap in initial efforts to populate and validate the database taxonomies [Al-Douri, et al., (2023) Populating the Hydrogen Component Reliability Database (HyCReD) with Incident Data from Hydrogen Dispensing]. Collection of maintenance data will be instrumental in identifying failure modes and rates, identifying incipient component failures or reduced performance, cataloging best practices for maintenance routines and methods for prognostic health management, and quantifying the risk and effect of different failure modes. Several key priorities are identified for streamlined data collection to achieve quality and detailed failure data: Applicability, Ease of Use, Accessibility, and Information Security.

The HyCReD team has now begun deployment of the database to several companies and groups that have signed non-disclosure agreements to facilitate the data collection. This paper will provide an update into the process of HyCReD construction and deployment including the development of a coding guide to ensure data quality and consistency, implementation of contextually dependent data fields to select system taxonomy to provide ease of use, lessons learned from the roll-out to technicians and engineers in the field, and high level of security to protect all stakeholders.

Presenting Author: Olivia Robinson National Renewable Energy Laboratory

Presenting Author Biography: Olivia is a Master's student working in the Hydrogen Power, Production, and Safety Lab at the National Renewable Energy Laboratory with a focus on component reliability as well as community outreach to help breakdown technical, social, and political obstacles to hydrogen deployment. I have a degree from the University of Maryland, College Park in Material Science and Engineering with concentration in Materials for Energy and a minor in Sustainability. I worked in a bioconversion anaerobic digestion laboratory during undergrad which ignited my research interests in the hard to decarbonize sectors and exploring effective solutions.