Providing a detailed understanding of why heat and electricity energy storage technologies have developed so rapidly, Future Grid-Scale Energy Storage Solutions: Mechanical and Chemical Technologies and Principles presents the required fundamentals for techno-economic and environmental analysis of various grid-scale energy storage technologies. Through a consistent framework, each chapter outlines state-of-the-art advances, benefits and challenges, energy and exergy analyses models of these technologies, as well as an elaboration on their performance under dynamic and off-design operating conditions. Chapters include a case study analysis section, giving a detailed understanding of the systems' thermodynamics and economic and environmental performance in real operational conditions, and wrap-up with a discussion of the future prospects of these technologies from commercial and research perspectives. This book is a highly beneficial reference for researchers and scientists dealing with grid-scale energy storage systems, as a single comprehensive book providing the information and fundamentals required to do modeling, analysis, and/or feasibility studies of such systems. - Features all the major mechanical and chemical energy storage systems, including electricity and thermal energy storage methods - Includes step-by-step energy and exergy modeling, including off-design performance modeling - Provides future perspectives for technologies, describing how they will contribute to the future smart energy systems

Phase Change Materials for Thermal Energy Management and Storage: Fundamentals and Applications provides the latest advances in thermal energy applications of phase change materials (PCMs). It introduces definitions and offers a brief history, and then delves into preparation techniques, thermophysical properties and heat transfer characteristics with mathematical models, performance-affecting factors, and applications and challenges of PCMs. Features Provides key heat transfer enhancement and thermophysical properties features for a wide range of PCMs. Presents detailed parameter selection procedures impacting heat transfer. Reviews available prediction methods for heat transfer and thermophysical properties of PCMs. Discusses practical applications for enhanced thermal control. Explores challenges and potential opportunities for heat transfer enhancement. This reference offers a comprehensive overview of the fundamentals, technologies, and current and near-future applications of PCMs for thermal energy management and storage for researchers and advanced students in materials, mechanical, and related fields of engineering.

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.

Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. - Presents advanced optimization techniques to improve existing energy demand system - Provides data-analytic models and their practical relevance in proven case studies - Explores novel developments in machine-learning and artificial intelligence applied in energy management - Provides modeling theory in an easy-to-read format

Develop the clean technologies of the future with these novel energy storage technologies Energy storage is a crucial component of the broader battle to develop clean energy sources and transform the power grid in light of advancing climate change. Numerous new energy storage technologies based on electrochemical redox reactions have recently been developed or proposed, promising to reduce costs and enable energy-dense devices and applications of many kinds. This urgent work demands to be incorporated into chemistry, materials science, and industry at every level. Towards Next Generation Energy Storage Technologies offers a comprehensive overview of these novel technologies and their applications. Beginning with an introduction to the fundamentals of electrochemistry and energy storage, it offers current and future research questions, design strategies, and much more. It is a must-own for scientists and engineers looking to develop the energy grid of the future. Towards Next Generation Energy Storage Technologies readers will also find: Summaries of state-of-the-art research and open challenges Detailed discussion of technologies including lithium-ion batteries, all-solid-state batteries, aqueous multi-valence energy storage systems, and more Discussion of applications including electric vehicles, aerospace devices, and many others Towards Next Generation Energy Storage Technologies is ideal for materials scientists, inorganic chemists, electrochemists, electronics engineers, and anyone working on the clean energy grid or electrical devices.

"Electrical Systems and Motors: A Practical Guide for Electricians" is an essential resource for electricians, engineers, students, and professionals seeking to deepen their knowledge and expertise in electrical systems. This comprehensive guide covers a wide range of topics, from the fundamentals of electrical theory to advanced motor control techniques, making it a valuable tool for both beginners and experienced professionals. This book provides detailed explanations of key concepts such as electrical circuits, power distribution, motor operations, and troubleshooting methods. It also includes practical tools like inspection checklists, troubleshooting flowcharts, and real-world case studies that illustrate the application of theoretical knowledge in everyday situations. Readers will find in-depth coverage of modern electrical practices, including the latest standards and safety protocols, as well as insights into emerging technologies such as renewable energy systems and smart grids. The guide is structured to offer a clear, step-by-step approach to mastering the principles and practices that are critical to the electrical trade. Authored by Ron Legarski, a seasoned telecommunications and IT solutions expert, this book reflects his extensive experience in the field and his commitment to sharing valuable knowledge with the next generation of electrical professionals. Whether you are looking to enhance your skills, prepare for certification exams, or stay updated on industry trends, "Electrical Systems and Motors: A Practical Guide for Electricians" is the go-to reference that will help you succeed in your career. Equip yourself with the knowledge and tools you need to excel in the dynamic and ever-evolving world of electrical systems. This guide is more than just a textbook; it's a practical companion that will support your professional growth and ensure your success in the field.

Lithium: From Discovery to Modern Energy Applications is an essential guide to understanding one of the most critical elements driving today’s technological and energy revolutions. Co-authored by experts Ronald Legarski, Yash Patel, and Zoltan Csernus, this comprehensive book delves into lithium’s journey from its discovery to its widespread use in electric vehicles, renewable energy storage, and consumer electronics. The book explores lithium's unique properties, the evolution of lithium-ion battery technology, and its vital role in shaping the future of clean energy. With insights into lithium mining and production, environmental and geopolitical challenges, and innovations in energy storage, this work is a definitive resource for anyone interested in the future of energy and technology. Ronald Legarski, President & CEO of SolveForce, brings decades of experience in telecommunications and energy infrastructure, highlighting how lithium powers modern connectivity and smart grid technologies. Yash Patel, nuclear engineer and founder of NanoGate Technologies, provides his expertise in advanced technologies, including nuclear energy and biopharma, offering insights into lithium's broader industrial applications. Zoltan Csernus, master electrician and owner of CZ Electric, contributes his four decades of experience in electrical engineering, focusing on lithium’s role in power quality and energy storage solutions. Whether you are a scientist, engineer, industry professional, or simply curious about the future of clean energy, Lithium: From Discovery to Modern Energy Applications provides an accessible and detailed look at how lithium is transforming industries and enabling a sustainable future.

Megaprojects for Megacities is a collection of 14 international case studies of transportation, urban development, and environmental megaprojects completed during the last ten years in North America, Asia and Europe. It goes beyond the previous megaproject literature to look at how and why each project was conceived, planned, engineered, financed, and delivered, and at how particular planning and delivery practices shaped outcomes.

Technological Learning in the Transition to a Low-Carbon Energy System: Conceptual Issues, Empirical Findings, and Use in Energy Modeling quantifies key trends and drivers of energy technologies deployed in the energy transition. It uses the experience curve tool to show how future cost reductions and cumulative deployment of these technologies may shape the future mix of the electricity, heat and transport sectors. The book explores experience curves in detail, including possible pitfalls, and demonstrates how to quantify the 'quality' of experience curves. It discusses how this tool is implemented in models and addresses methodological challenges and solutions. For each technology, current market trends, past cost reductions and underlying drivers, available experience curves, and future prospects are considered. Electricity, heat and transport sector models are explored in-depth to show how the future deployment of these technologies—and their associated costs—determine whether ambitious decarbonization climate targets can be reached - and at what costs. The book also addresses lessons and recommendations for policymakers, industry and academics, including key technologies requiring further policy support, and what scientific knowledge gaps remain for future research. - Provides a comprehensive overview of trends and drivers for major energy technologies expected to play a role in the energy transition - Delivers data on cost trends, helping readers gain insights on how competitive energy technologies may become, and why - Reviews the use of learning curves in environmental impacts for lifecycle assessments and energy modeling - Features social learning for cost modeling and technology diffusion, including where consumer preferences play a major role