Abstract
Safety, reliability, and maintenance of hydrogen-based equipment, including Risk-Based Maintenance (RBM), have recently gained increasing attention, as hydrogen, while key to decarbonizing hard-to-abate sectors, raises safety concerns. However, two literature gaps limit the development of risk-based strategies for hydrogen technologies. First, existing RBM methodologies do not account for hydrogen-specific components, such as electrolyzers, which differ from conventional equipment. Second, available studies on electrolyzer reliability remain largely qualitative or laboratory-scale. This study addresses these gaps by proposing an adapted RBM methodology tailored to hydrogen-fueled manufacturing facilities. Integrating qualitative tools (e.g., FMEA) with probabilistic models (e.g., Bayesian Networks) enables comprehensive hazardous scenarios identification and likelihood estimation. A conceptual layout of a glass furnace supplied by a 3 MW PEM electrolyzer is considered as a case study to demonstrate the feasibility of the adapted RBM framework in identifying high-risk components and enabling maintenance prioritization, potentially improving plant safety.
| Original language | American English |
|---|---|
| Number of pages | 16 |
| Journal | International Journal of Hydrogen Energy |
| Volume | 238 |
| DOIs | |
| State | Published - 2026 |
NLR Publication Number
- NLR/JA-5700-96507
Keywords
- electrolyzer safety
- glass sector
- green manufacturing
- hard-to-abate sectors decarbonization
- hydrogen safety
- risk-based maintenance
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