Storage

This book presents a comprehensive review of recent developments in vanadium-based nanomaterials for next-generation electrochemical energy storage. The basic electrochemical energy storage and conversion equipment are elaborated, and the vanadium-based nanomaterials of the synthesis approaches, characterizations, electrochemical storage mechanisms, and performance optimization tactics are discussed. Examples are taken from various chemical energy storage devices to expound the functions of advanced vanadium-based nanomaterials for specific applications. Finally, various challenges and perspectives on vanadium-based nanomaterial development as an emerging energy storage solution are considered.

This book presents a comprehensive review of recent developments in vanadium-based nanomaterials for next-generation electrochemical energy storage. The basic electrochemical energy storage and conversion equipment are elaborated, and the vanadium-based nanomaterials of the synthesis approaches, characterizations, electrochemical storage mechanisms, and performance optimization tactics are discussed. Examples are taken from various chemical energy storage devices to expound the functions of advanced vanadium-based nanomaterials for specific applications. Finally, various challenges and perspectives on vanadium-based nanomaterial development as an emerging energy storage solution are considered.

This book presents principles and applications to expand the storage space from 2-D to 3-D and even multi-D, including gray scale, color (light with different wavelength), polarization and coherence of light. These actualize the improvements of density, capacity and data transfer rate for optical data storage. Moreover, the applied implementation technologies to make mass data storage devices are described systematically. Some new mediums, which have linear absorption characteristics for different wavelength and intensity to light with high sensitivity, are introduced for multi-wavelength and multi-level optical storage. This book can serve as a useful reference for researchers, engineers, graduate and undergraduate students in material science, information science and optics.

Energy Storage explains the underlying scientific and engineering fundamentals of all major energy storage methods. These include the storage of energy as heat, in phase transitions and reversible chemical reactions, and in organic fuels and hydrogen, as well as in mechanical, electrostatic and magnetic systems. Updated coverage of electrochemical storage systems considers exciting developments in materials and methods for applications such as rapid short-term storage in hybrid and intermittent energy generation systems, and battery optimization for increasingly prevalent EV and stop-start automotive technologies. This nuanced coverage of cutting-edge advances is unique in that it does not require prior knowledge of electrochemistry. Traditional and emerging battery systems are explained, including lithium, flow and liquid batteries. Energy Storage provides a comprehensive overview of the concepts, principles and practice of energy storage that is useful to both students and professionals.

The book describes methods of modeling, planning and implementing electric energy storage systems. Energy storage becomes an important issue when more and more electric power is generated by wind mills and photovoltaics systems, because green energy is more volatile. So energy storage is necessary to guarantee safe and secure electric energy supply.

Evidenced by the success of Facebook, Twitter, and LinkedIn, online social networks (OSNs) have become ubiquitous, offering novel ways for people to access information and communicate with each other. As the increasing popularity of social networking is undeniable, scalability is an important issue for any OSN that wants to serve a large number of users. Storing user data for the entire network on a single server can quickly lead to a bottleneck, and, consequently, more servers are needed to expand storage capacity and lower data request traffic per server. Adding more servers is just one step to address scalability.