Reduced Modelling of Planar Fuel Cells
Spatial Smoothing and Asymptotic Reduction
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Beschreibung
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 103 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.
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-SOFCmodel is conducted at both the single-cell and stack levels.
Maximizes reader insights into reduced cell and stack models for 3D plate-type fuel cells and stochastic modeling for sensitivity analysis of cell and stack performances Features novel reduced cell and stack models developed for proton exchange membrane fuel cells (PEMFCs) and planar solid oxide fuel cells (P-SOFCs) to reduce computational cost Presents Monte Carlo simulation of the reduced P-SOFC model conducted at both the single-cell and stack levels Includes supplementary material: sn.pub/extras
Autor*in
Zhongjie He
Themen in »Reduced Modelling of Planar Fuel Cells«
Planar fuel cells Mathematical model reduction Spatial smoothing Asymptotic analysis Statistical sensitivity analysis