Hydrogen station prognostics and health monitoring model

Kurtz, Jennifer; Bradley, Thomas; Gilleon, Spencer

doi:10.1016/j.ijhydene.2023.08.098

Title: Hydrogen station prognostics and health monitoring model

Abstract

Hydrogen fuel has shown promise as a clean, alternative fuel aiding in the reduction of fossil fuel dependence within the transportation sector. However, hydrogen refueling stations and infrastructure remains a barrier and are a prerequisite for consumer adoption of low-cost and low-emission fuel cell electric vehicles (FCEVs). The costs for FCEV fueling include both station capital costs and operation and maintenance (O&M) costs. Contributing to these O&M costs, unscheduled maintenance is presently more costly and more frequent than for similar gasoline fueling infrastructure and is asserted to be a limiting factor in achieving FCEV customer acceptance and cost parity. Unscheduled maintenance leads to longer station downtime, therefore, causing an increase in missed fueling opportunities, which forces customers to seek refueling at other operable stations that may be significantly farther away. This research proposes a framework for a hydrogen station prognostics health monitoring (H2S PHM) model that can minimize unexpected downtime by predicting the remaining useful life for primary hydrogen station components within the major station subsystems. The H2S PHM model is a data-driven statistical model, based on O&M data collected from 34 retail hydrogen stations located in the U.S. The primary subcomponents studied are the dispenser, compressor, and chiller. Themore »« less

Authors:

; Bradley, Thomas;

Publication Date:: Mon Jan 01 00:00:00 EST 2024

Research Org.:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Fuel Cell Technologies Office

OSTI Identifier:: 2228989

Alternate Identifier(s):: OSTI ID: 2001475

Report Number(s):: NREL/JA-5700-85333
Journal ID: ISSN 0360-3199; S0360319923040533; PII: S0360319923040533

Grant/Contract Number:: AC36-08GO28308

Resource Type:: Published Article

Journal Name:: International Journal of Hydrogen Energy

Additional Journal Information:: Journal Name: International Journal of Hydrogen Energy Journal Volume: 49 Journal Issue: PD; Journal ID: ISSN 0360-3199

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Subject:: 08 HYDROGEN; 33 ADVANCED PROPULSION SYSTEMS; fuel cell electric vehicles; hydrogen station; prognostics; reliability

Citation Formats


                    Kurtz, Jennifer, Bradley, Thomas, and Gilleon, Spencer. Hydrogen station prognostics and health monitoring model.  United Kingdom: N. p., 2024. 
Web.  doi:10.1016/j.ijhydene.2023.08.098.

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                    Kurtz, Jennifer, Bradley, Thomas, & Gilleon, Spencer. Hydrogen station prognostics and health monitoring model.  United Kingdom.  https://doi.org/10.1016/j.ijhydene.2023.08.098

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                    Kurtz, Jennifer, Bradley, Thomas, and Gilleon, Spencer. Mon .  
"Hydrogen station prognostics and health monitoring model".  United Kingdom.  https://doi.org/10.1016/j.ijhydene.2023.08.098.

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@article{osti_2228989,

  title        = {Hydrogen station prognostics and health monitoring model},

  author       = {Kurtz, Jennifer and Bradley, Thomas and Gilleon, Spencer},

  abstractNote = {Hydrogen fuel has shown promise as a clean, alternative fuel aiding in the reduction of fossil fuel dependence within the transportation sector. However, hydrogen refueling stations and infrastructure remains a barrier and are a prerequisite for consumer adoption of low-cost and low-emission fuel cell electric vehicles (FCEVs). The costs for FCEV fueling include both station capital costs and operation and maintenance (O&M) costs. Contributing to these O&M costs, unscheduled maintenance is presently more costly and more frequent than for similar gasoline fueling infrastructure and is asserted to be a limiting factor in achieving FCEV customer acceptance and cost parity. Unscheduled maintenance leads to longer station downtime, therefore, causing an increase in missed fueling opportunities, which forces customers to seek refueling at other operable stations that may be significantly farther away. This research proposes a framework for a hydrogen station prognostics health monitoring (H2S PHM) model that can minimize unexpected downtime by predicting the remaining useful life for primary hydrogen station components within the major station subsystems. The H2S PHM model is a data-driven statistical model, based on O&M data collected from 34 retail hydrogen stations located in the U.S. The primary subcomponents studied are the dispenser, compressor, and chiller. The remaining useful life calculations are used to decide whether or not maintenance should be completed based on the prediction and expected future station use. This paper presents the background, method, and results for the H2S PHM model as for a means for improving station availability and customer confidence in FCEVs and hydrogen infrastructure.},

  doi          = {10.1016/j.ijhydene.2023.08.098},

  journal      = {International Journal of Hydrogen Energy},

  number       = PD,

  volume       = 49,

  place        = {United Kingdom},

  year         = {Mon Jan 01 00:00:00 EST 2024},

  month        = {Mon Jan 01 00:00:00 EST 2024}

}

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Title: Hydrogen station prognostics and health monitoring model

Abstract

Citation Formats

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The discrete additive Weibull distribution: A bathtub-shaped hazard for discontinuous failure data journal, October 2012

US Department of Energy hydrogen and fuel cell technologies perspectives journal, January 2020

Using maintenance options to maximize the benefits of prognostics for wind farms journal, April 2013

Prognostic modelling options for remaining useful life estimation by industry journal, July 2011

Benefits and Challenges of System Prognostics journal, June 2012

A review on prognostics and health monitoring of Li-ion battery journal, August 2011

Predicting remaining useful life of rotating machinery based artificial neural network journal, August 2010

Impact of hydrogen refueling configurations and market parameters on the refueling cost of hydrogen journal, August 2017

Hydrogen refueling station: Overview of the technological status and research enhancement journal, May 2023

Seasonal and yearly wind speed distribution and wind power density analysis based on Weibull distribution function journal, November 2015

Refueling hydrogen fuel cell vehicles with 68 proposed refueling stations in California: Measuring deviations from daily travel patterns journal, February 2014

A modified Weibull extension with bathtub-shaped failure rate function journal, June 2002

Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery journal, September 2023

Data requirements for improving the Quantitative Risk Assessment of liquid hydrogen storage systems journal, January 2022

A framework for reliability and risk centered maintenance journal, February 2011

A Failure Time Prediction Method for Condition-Based Maintenance journal, May 2014

Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework journal, February 2009

Effect of specific microstructures on hydrogen embrittlement susceptibility of a modified AISI 4130 steel
journal, October 2021

A progressive study into offshore wind farm maintenance optimisation using risk based failure analysis
journal, February 2015

A cleaner and more efficient energy system achieving a sustainable future for road transport
journal, September 2023

Study on hydrogen embrittlement susceptibility of X80 steel through in-situ gaseous hydrogen permeation and slow strain rate tensile tests
journal, January 2023

Review of transportation hydrogen infrastructure performance and reliability
journal, May 2019

The potential role of hydrogen as a sustainable transportation fuel to combat global warming
journal, January 2020

The log-normal modified Weibull distribution and its reliability implications
journal, August 2019

A new bathtub curve model with a finite support
journal, November 2013

Lessons learned from the installation and operation of Northern California's first 70-MPa hydrogen fueling station
journal, December 2013

Safety Watchdog for universally safe gaseous high pressure hydrogen fillings
journal, April 2021

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
journal, January 2014

A hybrid framework combining data-driven and model-based methods for system remaining useful life prediction
journal, July 2016

Overview of hydrogen embrittlement in high-Mn steels
journal, April 2017

Automotive hydrogen fuelling stations: An international review
journal, August 2015

Eliciting preferences on the design of hydrogen refueling infrastructure
journal, May 2017

An overview of development and challenges in hydrogen powered vehicles
journal, November 2019

A review on prognostics and health monitoring of proton exchange membrane fuel cell
journal, August 2017

Opportunities and data requirements for data-driven prognostics and health management in liquid hydrogen storage systems
journal, May 2022

Investigation of data fusion applied to health monitoring of wind turbine drivetrain components: Data fusion applied to health monitoring of wind turbine drivetrain
journal, May 2012

Quantitative analysis of a successful public hydrogen station
journal, September 2012

Particle filter based hybrid prognostics for health monitoring of uncertain systems in bond graph framework
journal, June 2016

A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management
journal, January 2016

A Return on Investment Model for the Implementation of New Technologies on Wind Turbines
journal, January 2018

Fuel cell and battery electric vehicles compared
journal, August 2009

A novel integrated methodology for human reliability assessment in hydrogen fuelling stations
journal, April 2023

Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility
journal, June 2014

Hydrogen at Scale (H ₂ @Scale): Key to a Clean, Economic, and Sustainable Energy System
journal, January 2018

The fuel cell electric vehicles: The highlight review
journal, March 2023

Prognostics and Health Management of PEMFC – State of the art and remaining challenges
journal, November 2013

A Technical Framework and Roadmap of Embedded Diagnostics and Prognostics for Complex Mechanical Systems in Prognostics and Health Management Systems
journal, June 2012

Modeling the bathtub shape hazard rate function in terms of reliability
journal, March 2002

Development of a hydrogen fuelling infrastructure in the Northeast U.S.A.
journal, May 2014

Practical options for selecting data-driven or physics-based prognostics algorithms with reviews
journal, January 2015

Development of efficient hydrogen refueling station by process optimization and control
journal, July 2022

Fuel cell vehicles: State of the art with economic and environmental concerns
journal, January 2011

Rotating machinery prognostics: State of the art, challenges and opportunities
journal, April 2009

An additive modified Weibull distribution
journal, January 2016

Hydrogen fuel cell electric vehicle performance and user-response assessment: Results of an extended driver study
journal, July 2018

Metrics for evaluating the performance of complex engineering system health monitoring models
journal, July 2022

A comparative study of time-based maintenance and condition-based maintenance for optimal choice of maintenance policy
journal, February 2016

Adaptive relevant vector machine based RUL prediction under uncertain conditions
journal, April 2019

Hydrogen vehicles: Impacts of DOE technical targets on market acceptance and societal benefits
journal, June 2013

Perspective on hydrogen energy carrier and its automotive applications
journal, May 2014

Remaining useful life estimation – A review on the statistical data driven approaches
journal, August 2011

Significance, interpretation, and quantification of uncertainty in prognostics and remaining useful life prediction
journal, February 2015

The discrete additive Weibull distribution: A bathtub-shaped hazard for discontinuous failure data
journal, October 2012

US Department of Energy hydrogen and fuel cell technologies perspectives
journal, January 2020

Using maintenance options to maximize the benefits of prognostics for wind farms
journal, April 2013

Prognostic modelling options for remaining useful life estimation by industry
journal, July 2011

Benefits and Challenges of System Prognostics
journal, June 2012

A review on prognostics and health monitoring of Li-ion battery
journal, August 2011

Predicting remaining useful life of rotating machinery based artificial neural network
journal, August 2010

Impact of hydrogen refueling configurations and market parameters on the refueling cost of hydrogen
journal, August 2017

Hydrogen refueling station: Overview of the technological status and research enhancement
journal, May 2023

Seasonal and yearly wind speed distribution and wind power density analysis based on Weibull distribution function
journal, November 2015

Refueling hydrogen fuel cell vehicles with 68 proposed refueling stations in California: Measuring deviations from daily travel patterns
journal, February 2014

A modified Weibull extension with bathtub-shaped failure rate function
journal, June 2002

Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery
journal, September 2023

Data requirements for improving the Quantitative Risk Assessment of liquid hydrogen storage systems
journal, January 2022

A framework for reliability and risk centered maintenance
journal, February 2011

A Failure Time Prediction Method for Condition-Based Maintenance
journal, May 2014

Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework
journal, February 2009