Electric power systems are being transformed from older grid systems to smart grids across the globe. The goals of this transition are to address today's electric power issues, which include reducing carbon footprints, finding alternate sources of decaying fossil fuels, eradicating losses that occur in the current available systems, and introducing the latest information and communication technologies (ICT) for electric grids. The development of smart grid technology is advancing dramatically along with and in reaction to the continued growth of renewable energy technologies (especially wind and solar power), the growing popularity of electric vehicles, and the continuing huge demand for electricity. Smart Grid Systems: Modeling and Control advances the basic understanding of smart grids and focuses on recent technological advancements in the field. This book provides a comprehensive discussion from a number of experts and practitioners and describes the challenges and the future scope of the technologies related to smart grid. Key features: provides an overview of the smart grid, with its needs, benefits, challenges, existing structure, and possible future technologies discusses solar photovoltaic (PV) system modeling and control along with battery storage, an integral part of smart grids discusses control strategies for renewable energy systems, including solar PV, wind, and hybrid systems describes the inverter topologies adopted for integrating renewable power covers the basics of the energy storage system and the need for micro grids describes forecast techniques for renewable energy systems presents the basics and structure of the energy management system in smart grids, including advanced metering, various communication protocols, and the cyber security challenges explores electric vehicle technology and its interaction with smart grids

Electric power systems are being transformed from older grid systems to smart grids across the globe. The goals of this transition are to address today's electric power issues, which include reducing carbon footprints, finding alternate sources of decaying fossil fuels, eradicating losses that occur in the current available systems, and introducing the latest information and communication technologies (ICT) for electric grids. The development of smart grid technology is advancing dramatically along with and in reaction to the continued growth of renewable energy technologies (especially wind and solar power), the growing popularity of electric vehicles, and the continuing huge demand for electricity. Smart Grid Systems: Modeling and Control advances the basic understanding of smart grids and focuses on recent technological advancements in the field. This book provides a comprehensive discussion from a number of experts and practitioners and describes the challenges and the future scope of the technologies related to smart grid. Key features: provides an overview of the smart grid, with its needs, benefits, challenges, existing structure, and possible future technologies discusses solar photovoltaic (PV) system modeling and control along with battery storage, an integral part of smart grids discusses control strategies for renewable energy systems, including solar PV, wind, and hybrid systems describes the inverter topologies adopted for integrating renewable power covers the basics of the energy storage system and the need for micro grids describes forecast techniques for renewable energy systems presents the basics and structure of the energy management system in smart grids, including advanced metering, various communication protocols, and the cyber security challenges explores electric vehicle technology and its interaction with smart grids

Polymers are among the major hallmarks of 20th-century science, and the explosive outgrowth and tremendous importance of polymeric foams is a testament to their amazing versatility and unique properties. With applications from automotive to acoustic and medical, polymeric foams pervade all areas of our lives. If this growth is to continue into the new millennium, especially in light of stringent environmental regulations, a strong understanding of the basic science and the major technologies behind foam production is critical. Written by experienced and accomplished leaders in the field, Polymeric Foams: Science and Technology provides comprehensive coverage of the fundamentals, technologies, applications, and recent developments. The authors first outline the basic principles and fundamental foaming mechanisms, covering thermodynamics, kinetics, and the basics of blowing agents and foam formation. Foaming technologies and product applications then become the focus, with explanations of structure-property relationships, processing methods, and general types of foams. The book concludes with chapters on recent developments in composite and biodegradable foams that illustrate how to tailor processing to meet application needs. Illuminating the role of polymeric foams in the modern materials landscape, Polymeric Foams: Science and Technology is the perfect guide for developing innovative materials that achieve better performance and regulatory compliance.

This book represents the first in a series entitled Polymeric Foams: Technology and Applications. Generally, thermoplastic and thermoset foams have been treated as two separate practices in industry. Polymeric Foams: Mechanisms and Materials provides the basics of foaming in general, providing a convenient and strong foundation to those working in both thermoplastic and thermoset foams. The book addresses scientific principles behind polymeric foaming and presents foaming chemistry and physics, resin and blowing agents, and foaming mechanisms in separate chapters, thus providing an overall and fundamental understanding of foaming for polymeric foam products and processes.

Embedded computing systems are special-purpose computer systems designed for applications to perform a specific task. With enormous advancements in technology, embedded system applications range from toys to avionics. The design of these systems involve challenging metrics out which performance and power form the most crucial ones. Recent advancements in semiconductor technology have made power consumption also a limiting factor for embedded system design. SRAM being faster than the DRAM, cache memory comprising of SRAM is configured between the CPU and the main memory. The CPU can access the main memory (DRAM) only via the cache memory. Cache memories are employed in all the computing applications along with the processors. The size of cache allowed for inclusion on a chip is limited by the large physical size and large power consumption of the SRAM cells used in cache memory. Hence, its effective configuration for small size and low power consumption is very crucial in embedded system design. An optimal cache configuration technique is presented for the effective reduction of size and high performance. It is also shown that not only the memory module, but also the bus interconnect