Predictive Model Could Improve Hydrogen Station Availability
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Monday, September 18, 2023
Hydrogen, Maintenance, International Journal of Hydrogen Energy, Probability, Failure, Sustainable energy, Office of Inspector General, U.S. Department of Health and Human Services, CSU, Colorado State University, Gasoline, United States Department of Energy, Research, H2S, DOE, Golden, Colorado, CO, Canadian International Council, PHM, Diagnosis, NREL, Coal
The use of what is known as a prognostics health monitoring (PHM) model would allow hydrogen stations to reduce these unscheduled events.
Key Points:
- The use of what is known as a prognostics health monitoring (PHM) model would allow hydrogen stations to reduce these unscheduled events.
- We want to ensure motorists who drive hydrogen-fueled cars have the same experience,” said Jennifer Kurtz, lead author of the new paper, “ Hydrogen Station Prognostics and Health Monitoring Model ,” which appears in the International Journal of Hydrogen Energy.
- “This predictive model can let station operators know in advance when a problem might occur and minimize any disruptions that motorists might experience with hydrogen fueling.”
Co-authored by Spencer Gilleon of NREL and Thomas Bradley of CSU, the article posits the PHM model would improve station availability and consumer confidence. - While California has more than 10,000 gasoline stations, the Hydrogen Fuel Cell Partnership counts just 59 retail hydrogen stations across the state.