Computational Analysis of Transport Phenomena and Performance of PEMFC presents a practical guide to the mathematical modeling and simulation of PEMFCs for all transport processes of mass, momentum, energy, ions, and electrons. Tackling one of the most important aspects of next-generation PEMFC technologies, the book brings together the state-of-the-art to model and simulate phenomena and processes at various scales, including catalyst layers, electrodes, membranes, and bipolar plates of PEMFC unit cells and stacks.Chapters introduce PEM fuel cells and explain the underlying electrochemical and thermodynamic concepts involved, present a detailed breakdown of the governing equations for overall mass, momentum, and energy conservation, charge (ions and electrons) conservation, water generation and its transport, heat generation, and heat transfer and cooling methods, offer an in-depth analysis of the various single and multi-dimensional modelling approaches and considerations, including lattice Boltzmann approach, artificial neural networks, exergy and energy analysis, estimation of fuel and oxidant consumption, the differences between cell-scale, stack-scale, and system-scale approaches, and more. - Explains modeling transport phenomena and performance at multiple levels- Discusses the unique characteristics of modeling phenomena in the various layers (and at various scales) in PEM fuel cells, alongside formulations and necessary sub-models- Highlights the limitations and opportunities for machine learning approaches, as well as exergy and energy analysis- Provides numerically solved examples to illustrate modeling approaches

Computational Analysis of Transport Phenomena and Performance of PEMFC presents a practical guide to the mathematical modeling and simulation of PEMFCs for all transport processes of mass, momentum, energy, ions, and electrons. Tackling one of the most important aspects of next-generation PEMFC technologies, the book brings together the state-of-the-art to model and simulate phenomena and processes at various scales, including catalyst layers, electrodes, membranes, and bipolar plates of PEMFC unit cells and stacks.Chapters introduce PEM fuel cells and explain the underlying electrochemical and thermodynamic concepts involved, present a detailed breakdown of the governing equations for overall mass, momentum, and energy conservation, charge (ions and electrons) conservation, water generation and its transport, heat generation, and heat transfer and cooling methods, offer an in-depth analysis of the various single and multi-dimensional modelling approaches and considerations, including lattice Boltzmann approach, artificial neural networks, exergy and energy analysis, estimation of fuel and oxidant consumption, the differences between cell-scale, stack-scale, and system-scale approaches, and more. - Explains modeling transport phenomena and performance at multiple levels- Discusses the unique characteristics of modeling phenomena in the various layers (and at various scales) in PEM fuel cells, alongside formulations and necessary sub-models- Highlights the limitations and opportunities for machine learning approaches, as well as exergy and energy analysis- Provides numerically solved examples to illustrate modeling approaches

Computational Analysis of Transport Phenomena and Performance of PEMFC presents a practical guide to the mathematical modeling and simulation of PEMFCs for all transport processes of mass, momentum, energy, ions, and electrons. Tackling one of the most important aspects of next-generation PEMFC technologies, the book brings together the state-of-the-art to model and simulate phenomena and processes at various scales, including catalyst layers, electrodes, membranes, and bipolar plates of PEMFC unit cells and stacks.Chapters introduce PEM fuel cells and explain the underlying electrochemical and thermodynamic concepts involved, present a detailed breakdown of the governing equations for overall mass, momentum, and energy conservation, charge (ions and electrons) conservation, water generation and its transport, heat generation, and heat transfer and cooling methods, offer an in-depth analysis of the various single and multi-dimensional modelling approaches and considerations, including lattice Boltzmann approach, artificial neural networks, exergy and energy analysis, estimation of fuel and oxidant consumption, the differences between cell-scale, stack-scale, and system-scale approaches, and more. - Explains modeling transport phenomena and performance at multiple levels- Discusses the unique characteristics of modeling phenomena in the various layers (and at various scales) in PEM fuel cells, alongside formulations and necessary sub-models- Highlights the limitations and opportunities for machine learning approaches, as well as exergy and energy analysis- Provides numerically solved examples to illustrate modeling approaches