electrolysis: electrolysis Bayesian Network

In bnRep: A Repository of Bayesian Networks from the Academic Literature

electrolysis Bayesian Network

Description

Safety analysis of proton exchange membrane water electrolysis system.

Format

A discrete Bayesian network to analyze evolving hazard scenarios, such as gas permeation/crossover during proton exchange membrane water electrolysis based on fluid dynamics and electrochemistry of electrolysis. Probabilities were given within the referenced paper. The vertices are:

C

Operating current density (High, Low);

F

Formation of hazardous H2/O2 gas mixture (Yes, No);

FPR

Formation of peroxide radicals which can cause membrane degradation (Yes, No);

GP

Gas permeation (Yes, No);

GRE

Gas recombiner employed (Yes, No);

H

Relative humidity (High, Low);

HCF

Hazardous condition formation (Yes, No);

HOR

H2 and O2 recombination at catalyst/membrane surface (Yes, No);

IOA

Inhibiting oxygen accumulation (Yes, No);

IRF

Inhibiting reaching flammability range (Yes, No);

P

Operating pressure (High, Low);

RGP

Reduction in gas purity (Yes, No);

SBT

Surface/bulk treatments of the polymeric membrane (Yes, No);

SMT

Sufficient membrane thickness (Yes, No);

T

Operating temperature (High, Low);

V

Operating cell voltage (High, Low);

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Liu, Y., Amin, M. T., Khan, F., & Pistikopoulos, E. N. (2023). Safety analysis of proton exchange membrane water electrolysis system. Journal of Environmental Chemical Engineering, 11(5), 110772.

bnRep documentation built on April 12, 2025, 1:13 a.m.