Reliability modeling and analysis of stand-alone PEM fuel cell power plants

Tanrıöven, Muğdeşem; Alam, Mohammad Saad

doi:10.1016/j.renene.2005.05.004

Cited by 45 publications

(22 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other reliability techniques such as Markov Modelling (MM) [12] and Petri-Net simulation [13] have been used to study fuel cell systems. In the study by [12] the reliability of PEMFCs in power plant environments was considered.…”

Section: Disadvantages Of Ftamentioning

confidence: 99%

Failure Mode and Effect Analysis, and Fault Tree Analysis of Polymer Electrolyte Membrane Fuel Cells

Whiteley

Dunnett

Jackson

2016

International Journal of Hydrogen Energy

View full text Add to dashboard Cite

Hydrogen fuel cells have the potential to dramatically reduce emissions from the energy sector, particularly when integrated into an automotive application. However there are three main hurdles to the commercialisation of this promising technology; one of which is reliability. Current standards require an automotive fuel cell to last around 5000 hours of operation (equivalent to around 150,000 miles), which has proven difficult to achieve to date. This hurdle can be overcome through in-depth reliability analysis including techniques such as Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) amongst others. Research has found that the reliability field regarding hydrogen fuel cells is still in its infancy, and needs development, if the current standards are to be achieved. In this work, a detailed reliability study of a Polymer Electrolyte Membrane Fuel Cell (PEMFC) is undertaken. The results of which are a qualitative and quantitative analysis of a PEMFC. The FMEA and FTA are the most up to date assessments of failure in fuel cells made using a comprehensive literature review and expert opinion.

show abstract

Section: Disadvantages Of Ftamentioning

confidence: 99%

Failure Mode and Effect Analysis, and Fault Tree Analysis of Polymer Electrolyte Membrane Fuel Cells

Whiteley

Dunnett

Jackson

2016

International Journal of Hydrogen Energy

View full text Add to dashboard Cite

show abstract

“…Degradation rates can vary drastically depending on the concurrency and combination of different operating conditions, and fault tree diagrams do not capture those dependencies between events and influencing factors. Tanrioven and Alam [7] use the Markov state-space equations to calculate the system reliability. The Weibull distribution is used to generate transition rates, while fuzzy logic is applied in order to estimate the state of health of the auxiliary components during operational lifetime.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance modelling of fuel cell systems through Petri nets

Fecarotti

Andrews

2016

2016 Annual Reliability and Maintainability Symposium (RAMS)

View full text Add to dashboard Cite

This paper introduces a model based on the Petri net method for the performance evaluation of fuel cell systems during operation. The model simulates the operation of the fuel cell stack and its supporting systems by taking into account the causal relationships between the operation of the balance of plant and the fuel cell stack performance. Failures of the supporting system affect the operating parameters such as the stack temperature and humidity, the reactants' flow and pressure, and, in turn, the stack performance in terms of output voltage. Voltage degradation rates are needed in order to evaluate the system lifetime. The voltage degradation is related to the important operating parameters by means of empirical relationships. In order to demonstrate the capability of the model, numerical simulations are performed using data for voltage degradation rates collected from the literature. The voltage decay rate is modelled as a random variable within the aforementioned ranges. Time to failure and time to repair of components are generated from stochastic distributions. The use of a stochastic approach allows taking into account data uncertainty and variability. The modelling process produces distributions of the output parameters rather than point estimates delivered by alternative methods. This enables an appreciation of the best and worst possible output lifetime as well as the expected system performance. The model can be used to support the design, operation and maintenance of fuel cell systems.

show abstract

“…Based on the component-level reliability metrics, the system-level reliability can instead be derived by using the Reliability Block Diagram (RBD), the Fault Tree Analysis (FTA), and the Markov Chain (MC) [20]- [27]. In [20]- [22], the reliability of an interleaved dc/dc boost converter, an induction motor drive, and a PEM fuel cell power plant are evaluated using the MC method. In addition, the RBD approach is used to analyze the reliability of a paralleled inverter system [23] and a multi-level converter [24].…”

Section: Introductionmentioning

confidence: 99%

Mission Profile Based System-Level Reliability Analysis of DC/DC Converters for a Backup Power Application

Zhou

Wang

Blaabjerg

2018

IEEE Trans. Power Electron.

148

133

View full text Add to dashboard Cite

Abstract-Reliability analysis is an important tool for assisting the design phase of a power electronic converter to fulfill its life-cycle specifications. Existing converter-level reliability analysis methods have two major limitations: 1) based on constant failure rate models and 2) lack of considerations of long-term operation conditions (i.e., mission profile). Although various studies have been presented on power electronic component-level lifetime prediction based on wear-out failure mechanisms and mission profile, it is still a challenge to apply the same method to the reliability analysis of converters with multiple components. Component lifetime prediction based on associated models provides only a Bx lifetime information (i.e., the time when X% items fail), but the time-dependent reliability curve is still not available. In this paper, a converter-level reliability analysis approach is proposed based on time-dependent failure rate models and longterm mission profiles. Two different methods to obtain the component-level time-to-failure are illustrated by a case study of dc/dc converters for a 5 kW fuel cell based backup power system. The reliability analysis of the converters with and without redundancy is also performed to assist the decision making in the design phase of the fuel cell power conditioning stage.Index Terms-Fuel cell system, system-level reliability, Weibull distribution, power semiconductor, capacitor, reliability block diagram.

show abstract

Reliability modeling and analysis of stand-alone PEM fuel cell power plants

Cited by 45 publications

References 5 publications

Failure Mode and Effect Analysis, and Fault Tree Analysis of Polymer Electrolyte Membrane Fuel Cells

Failure Mode and Effect Analysis, and Fault Tree Analysis of Polymer Electrolyte Membrane Fuel Cells

Performance modelling of fuel cell systems through Petri nets

Mission Profile Based System-Level Reliability Analysis of DC/DC Converters for a Backup Power Application

Contact Info

Product

Resources

About