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Multiscale Modelling and Simulation of Flow Batteries
- 1st Edition - January 1, 2029
- Authors: T.S. Zhao, Ao Xu
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 8 9 8 6 5 - 2
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 8 8 6 2 2 - 2
Multiscale Modelling and Simulation of Flow Batteries provides an in-depth understanding of the flow battery renewable energy storage devices most suitable for large-sca… Read more
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Request a sales quoteMultiscale Modelling and Simulation of Flow Batteries provides an in-depth understanding of the flow battery renewable energy storage devices most suitable for large-scale stationary energy storage and their performance optimization at microscopic, mesoscopic and macroscopic levels. The book includes a comprehensive description of multiscale modeling and simulation strategies in flow batteries, with a critical review of advances in this rapidly developing field. Designed in sections according to the required accuracy, available computational capacity, and interested battery metrics, this reference features a tutorial on modeling macroscopic battery performance with step-by-step settings and a sample programming flowchart.
With all aspects of flow battery modeling and multiscale modeling strategies and simulations, from the kinetics of active species to whole battery performance, this book is beneficial to researchers majoring in engineering and a modeling paradigm for those working on other electrochemical systems.
- Uniquely offers tutorial on modeling macroscopic battery performance using commercial software
- Includes source code for mesoscopic simulation of electrolyte flows in the porous electrode
- Examples input scripts to calculate microscopic kinetics of active species using open-source software
Researchers (particularly graduate students) who major in Engineering, physics, chemistry, Mechanical engineering, Chemical engineering, and Material engineering
1. Flow Battery Fundamentals
1.1 Introduction
1.2 Working principle of various flow batteries
1.3 Multiscale transport phenomena in flow battery
1.4 Summary
2. Principles of Multiscale Modelling Strategies
2.1 Introduction
2.2 Modeling microscopic kinetics of active species
2.2 Modeling mesoscopic coupled electrolyte flows, heat and mass transfer
2.3 Modeling macroscopic battery performance
2.4 Summary
3. Modeling microscopic kinetics of active species
3.1 Introduction
3.2 Density function theory
3.3 Molecular dynamics method
3.4 Applying microscopic modeling to enhance surface kinetics
3.5 Summary
4. Modeling mesoscopic coupled electrolyte flows, heat and mass transfer
4.1 Introduction
4.2 Lattice Boltzmann method
4.3 Pore network method
4.4 Applying mesoscopic modeling to optimize the electrode
4.5 Summary
5. Modeling macroscopic battery performance
5.1 Introduction
5.2 Volume average approach
5.3 Finite volume and finite element methods
5.4 Applying macroscopic modeling to predict the performance of a single battery
5.5 Applying macroscopic modeling to predict the performance of flow battery stack
5.6 Summary
6. Conclusions and Recommendations
1.1 Introduction
1.2 Working principle of various flow batteries
1.3 Multiscale transport phenomena in flow battery
1.4 Summary
2. Principles of Multiscale Modelling Strategies
2.1 Introduction
2.2 Modeling microscopic kinetics of active species
2.2 Modeling mesoscopic coupled electrolyte flows, heat and mass transfer
2.3 Modeling macroscopic battery performance
2.4 Summary
3. Modeling microscopic kinetics of active species
3.1 Introduction
3.2 Density function theory
3.3 Molecular dynamics method
3.4 Applying microscopic modeling to enhance surface kinetics
3.5 Summary
4. Modeling mesoscopic coupled electrolyte flows, heat and mass transfer
4.1 Introduction
4.2 Lattice Boltzmann method
4.3 Pore network method
4.4 Applying mesoscopic modeling to optimize the electrode
4.5 Summary
5. Modeling macroscopic battery performance
5.1 Introduction
5.2 Volume average approach
5.3 Finite volume and finite element methods
5.4 Applying macroscopic modeling to predict the performance of a single battery
5.5 Applying macroscopic modeling to predict the performance of flow battery stack
5.6 Summary
6. Conclusions and Recommendations
- No. of pages: 400
- Language: English
- Edition: 1
- Published: January 1, 2029
- Imprint: Academic Press
- Paperback ISBN: 9780323898652
- eBook ISBN: 9780323886222
TZ
T.S. Zhao
Professor T.S Zhao, Chair Professor of Mechanical & Aerospace Engineering, The Hong Kong University of Science and Technology combines his expertise in research and technological innovation with a commitment to creating clean energy production and storage devices for a sustainable future. He has made seminal contributions in the areas of fuel cells, advanced batteries, multiscale multiphase heat and mass transport with electrochemical reactions, and computational modeling. In addition to 5 edited books, 9 book chapters, and over 70 keynote lectures at international conferences, he has published 356 papers in various prestigious journals. These papers have collectively received more than 16,000 citations and earned Prof Zhao an h-index of 66.
Affiliations and expertise
Chair Professor of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Sai Kung, New Territories, Hong KongAX
Ao Xu
Dr. Ao Xu is an associate professor of fluid mechanics at Northwestern Polytechnical University (NPU). He received his bachelor's degree in theoretical and applied mechanics from the University of Science and Technology of China (USTC) in 2013, and the Ph.D. degree in mechanical engineering from the Hong Kong University of Science and Technology (HKUST) in 2017. Dr. Xu's research is focused on the numerical modeling of heat and mass transfer in complex fluids. He has published 24 papers in various prestigious journals. These papers have collectively received more than 530 citations and earned Dr. Xu an h-index of 15.
Affiliations and expertise
Associate Professor of Fluid Mechanics, Northwestern Polytechnical University (NPU), Xi'an, Shaanxi, China