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This book provides a comprehensive review of the latest modelling developments in flow batteries, as well as some new results and insights. Flow batteries have long been considered the most flexible answer to grid scale energy storage, and modelling is a key component in their development. Recent modelling has moved beyond macroscopic methods, towards mesoscopic and smaller scales to select materials and design components. This is important for both fundamental understanding and the design of new electrode, catalyst and electrolyte materials. There has also been a recent explosion in interest in machine learning for electrochemical energy technologies. The scope of the book includes these latest developments and is focused on advanced techniques, rather than traditional modelling paradigms. The aim of this book is to introduce these concepts and methods to flow battery researcher, but the book would have a much broader appeal since these methods also employed in other battery and fuel cell systems and far beyond. The methods will be described in detail (necessary fundamental material in Appendices). The book appeals to graduate students and researchers in academia/industry working in electrochemical systems, or those working in computational chemistry/machine learning wishing to seek new application areas.
Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigms, Forecasting Energy for Tomorrow's World with Mathematical Modeling and Python Programming Driven Artificial Intelligence delivers knowledge on key infrastructure topics in both AI technology and energy. Sections lay the groundwork for tomorrow's computing functionality, starting with how to build a Business Resilience System (BRS), data warehousing, data management, and fuzzy logic. Subsequent chapters dive into the impact of energy on economic development and the environment and mathematical modeling, including energy forecasting and engineering statistics. Energy examples are included for application and learning opportunities. A final section deliver the most advanced content on artificial intelligence with the integration of machine learning and deep learning as a tool to forecast and make energy predictions. The reference covers many introductory programming tools, such as Python, Scikit, TensorFlow and Kera. - Helps users gain fundamental knowledge in technology infrastructure, including AI, machine learning and fuzzy logic - Compartmentalizes data knowledge into near-term and long-term forecasting models, with examples involving both renewable and non-renewable energy outcomes - Advances climate resiliency and helps readers build a business resiliency system for assets
This volume in the "Advances in Electrochemical Sciences and Engineering" series focuses on problem-solving, illustrating how to translate basic science into engineering solutions. The book's concept is to bring together engineering solutions across the range of nano-bio-photo-micro applications, with each chapter co-authored by an academic and an industrial expert whose collaboration led to reusable methods that are relevant beyond their initial use. Examples of experimental and/or computational methods are used throughout to facilitate the task of moving atomistic-scale discoveries and understanding toward well-engineered products and processes based on electrochemical phenomena.
This book highlights Small Modular Reactors (SMRs) as a viable alternative to the Nuclear Power Plants (NPPs), which have been used as desalination plant energy sources. SMRs have lower investment costs, inherent safety features, and increased availability compared to NPPs. The unique and innovative approach to implementation of SMRs as part of Gen-IV technology outlined in this book contributes to the application of nuclear power as a supplementary source to renewable energy. Discusses Gen-IV Power plants, their efficiency, cost effectiveness, safety, and methods to supply renewable energy; Presents Small Modular Reactors as a viable alternative to Nuclear Power Plants; Describes the benefits, uses, safety features, and challenges related to implementation of Small Modular Reactors.
Energy managers need to learn new and diverse ways to approach energy management in their company's assets as technology continues to evolve. Built into one cohesive and fundamental resource, Introduction to Energy Essentials: Insight into Nuclear, Renewable, and Non-Renewable Energies delivers an informative tool to understand the main steps for introducing and maintaining an energy management system (EnMS). Starting with a high-level introduction, the reference then takes a structured approach and dives into different sources of energy along with their contribution to energy efficiency, focusing on nuclear power, renewable and non-renewable energies. Multiple options are further discussed including economic considerations and cost comparisons per energy source, energy storage technology, and how to introduce an energy management system into your company. More advanced topics include nuclear reactor power plant systems and their thermal hydraulic analysis as well as cyber resiliency for future electric power and well plant control systems. Authored by experts, Introduction to Energy Essentials: Insight into Nuclear, Renewable, and Non-Renewable Energies gives today's energy managers and engineers a solid starting point to meeting the energy demands of today and in the future. - Understand key concepts, techniques, and tools surrounding energy management - Learn how to include smarter energy efficiency in your daily management decisions - Gain the fundamental technical skills and knowledge on renewable and non-renewable energy systems
Flow Batteries The premier reference on flow battery technology for large-scale, high-performance, and sustainable energy storage From basics to commercial applications, Flow Batteries covers the main aspects and recent developments of (Redox) Flow Batteries, from the electrochemical fundamentals and the materials used to their characterization and technical application. Edited by a team of leading experts, including the “founding mother of vanadium flow battery technology” Maria Skyllas-Kazacos, the full scope of this revolutionary technology is detailed, including chemistries other than vanadium and organic flow batteries. Other key topics covered in Flow Batteries include: Flow battery computational modeling and simulation, including quantum mechanical considerations, cell, stack, and system modeling, techno-economics, and grid behavior A comparison of the standard vanadium flow battery variant with new and emerging flow batteries using different chemistries and how they will change the field Commercially available flow batteries from different manufacturers, their technology, and application ranges The pivotal role of flow batteries in overcoming the global energy crisis Flow Batteries is an invaluable resource for researchers and engineers in academia and industry who want to understand and work with this exciting new technology and explore the full range of its current and future applications.
A one-stop resource for both researchers and development engineers, this comprehensive handbook serves as a daily reference, replacing heaps of individual papers. This second edition features twenty percent more content with new chapters on battery characterization, process technology, failure mechanisms and method development, plus updated information on classic batteries as well as entirely new results on advanced approaches. The authors, from such leading institutions as the US National Labs and from companies such as Panasonic and Sanyo, present a balanced view on battery research and large-scale applications. They follow a distinctly materials-oriented route through the entire field of battery research, thus allowing readers to quickly find the information on the particular materials system relevant to their research.
Paradigm Shift in E-waste Management: Vision for the Future addresses the challenges in the management of electronic wastes in various forms. The book describes resource-efficient and circular e-waste management processes including valorization amalgamating the sustainable benefits of electronic component recycling, industrial symbiosis, green technology implementation, and efficient supply chain networks with a vision towards year 2025. It further explains e-waste recycling technologies, supply chain aspects, e-waste disposal in IT industries, and trans-boundary movement issues including policy concerns supported by global case studies and benchmark practices. Further, the book illustrates resource recovery from e-waste, sustainability of e-waste recycling, circular economy in e-waste and so forth. Features: Covers intricacies of e-waste management with an outlook towards a checkpoint of sustainable development goals (SDGs) in 2025. Describes the global status of e-waste recycling and management with country-specific contributions. Includes focus on policy tools such as EPR, ARF, policy gaps, and the informal sector activities. Offers detailed information about advanced green and smart technologies for e-waste valorization and management. Explores urban mining, sustainability, and circular economic approaches. This book is of interest to graduate students and researchers in environmental engineering, waste management, urban mining, circular economy, waste processing, electronics and telecommunication engineering, electrical and electronics engineering, and chemical engineering.
This book provides state-of-the-art computational approaches for accelerating materials discovery, synthesis, and processing using thermodynamics and kinetics. The authors deliver an overview of current practical computational tools for materials design in the field. They describe ways to integrate thermodynamics and kinetics and how the two can supplement each other.