Reduced Modelling of Planar Fuel Cells
Spatial Smoothing and Asymptotic Reduction
Produktform: E-Buch Text Elektronisches Buch in proprietärem
These fast and efficient models allow statistical sensitivity analysis for a sample size in the order of 1000 without prohibitive computational cost to be performed to investigate not only the individual, but also the simultaneous effects of a group of varying geometrical, material, and operational parameters. This provides important information for cell/stack design, and to illustrate this, Monte Carlo simulation of the reduced P-SOFC model is conducted at both the single-cell and stack levels.
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