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Reduced Modelling of Planar Fuel Cells - Spatial Smoothing and Asymptotic Reduction (Hardcover, 1st ed. 2017)
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Reduced Modelling of Planar Fuel Cells - Spatial Smoothing and Asymptotic Reduction (Hardcover, 1st ed. 2017)
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This book focuses on novel reduced cell and stack models for proton
exchange membrane fuel cells (PEMFCs) and planar solid oxide fuel
cells (P-SOFCs) that serve to reduce the computational cost by two
orders of magnitude or more with desired numerical accuracy, while
capturing both the average properties and the variability of the
dependent variables in the 3D counterparts. The information
provided can also be applied to other kinds of plate-type fuel
cells whose flow fields consist of parallel plain channels
separated by solid ribs. 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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