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"System-Level Design Techniques for Energy-Efficient Embedded Systems will be of interest to advanced undergraduates, graduate students, and designers."--BOOK JACKET.
"The overall aim of the first chapter is to improve the knowledge about the simulation of thermal indoor climate for buildings in different climate conditions and its application for computer-based simulations. The work is done in order to simplify the use of CFD as a powerful tool in order to model the temperature distribution within the building envelope in two real cases in Switzerland, and promote a comfortable indoor environment with a maximum reduction of energy consumption. High energy materials like cement, glass, brick and steel are typically used in building construction. However, it is possible to reduce the environmental impact of any structure through the use of alternative, low-energy materials such as Silica aerogels (aerogel-based plasters), Expanded Polystyrene (EPS), Polyurethane foams (PU), and Mineral wool (Stone or Glass). Increased interest has focused on the development of advanced sustainable construction materials (Nano thermal insulation materials, aerogels, etc.) with adequate mechanical properties and durability performance. The most convenient way to get the most out of their investment in a building is to use energy modeling software. The second chapter will be primarily concerned with the choice of materials, then the suitability of insulation exterior facades. Geothermal is the most energy efficient and environmentally friendly method of heating and cooling buildings. The design of borehole thermal energy, as a common type of geothermal energy, is presented in Chapter Three. The calculation is based on heat transfer principles, including a case study of a BHE for a one-story house with all the properties related to analyze the BHE, e.g., to calculate the changes in the temperature of the circulating fluid. Economic analysis of implementing renewable energy technologies in buildings is especially important for a transition away from the greenhouse emitting energies since a great majority of the current capital stock and infrastructure of today's economic systems are adjusted based on fossil-fuel energies. Chapter Four presents a diverse collection of examples with economic analysis of costs and paybacks covering warm vs cold, social complexes vs private houses, and new vs historical buildings. Solar energy has various uses besides more energy production and it can be incorporated in applications with cooling, heating and desalination processes. The main objectives of Chapter Five are to assess the degree of energy reduction using solar energy in buildings and to establish the requirements for energy-efficient design of buildings in cold/hot regions. Payback period analysis that evaluates the cost savings resulting from energy efficiency improvements is also addressed"--
System-Level Design Techniques for Energy-Efficient Embedded Systems addresses the development and validation of co-synthesis techniques that allow an effective design of embedded systems with low energy dissipation. The book provides an overview of a system-level co-design flow, illustrating through examples how system performance is influenced at various steps of the flow including allocation, mapping, and scheduling. The book places special emphasis upon system-level co-synthesis techniques for architectures that contain voltage scalable processors, which can dynamically trade off between computational performance and power consumption. Throughout the book, the introduced co-synthesis techniques, which target both single-mode systems and emerging multi-mode applications, are applied to numerous benchmarks and real-life examples including a realistic smart phone.
Optimal Design and Retrofit of Energy Efficient Buildings, Communities, and Urban Centers presents current techniques and technologies for energy efficiency in buildings. Cases introduce and demonstrate applications in both the design of new buildings and retrofit of existing structures. The book begins with an introduction that includes energy consumption statistics, building energy efficiency codes, and standards and labels from around the world. It then highlights the need for integrated and comprehensive energy analysis approaches. Subsequent sections present an overview of advanced energy efficiency technologies for buildings, including dynamic insulation materials, phase change materials, LED lighting and daylight controls, Life Cycle Analysis, and more. This book provides researchers and professionals with a coherent set of tools and techniques for enhancing energy efficiency in new and existing buildings. The case studies presented help practitioners implement the techniques and technologies in their own projects. - Introduces a holistic analysis approach to energy efficiency for buildings using the concept of energy productivity - Provides coverage of individual buildings, communities and urban centers - Includes both the design of new buildings and retrofitting of existing structures to improve energy efficiency - Describes state-of-the-art energy efficiency technologies - Presents several cases studies and examples that illustrate the analysis techniques and impact of energy efficiency technologies and controls
There is not a single industry which will not be transformed by machine learning and Internet of Things (IoT). IoT and machine learning have altogether changed the technological scenario by letting the user monitor and control things based on the prediction made by machine learning algorithms. There has been substantial progress in the usage of platforms, technologies and applications that are based on these technologies. These breakthrough technologies affect not just the software perspective of the industry, but they cut across areas like smart cities, smart healthcare, smart retail, smart monitoring, control, and others. Because of these “game changers,” governments, along with top companies around the world, are investing heavily in its research and development. Keeping pace with the latest trends, endless research, and new developments is paramount to innovate systems that are not only user-friendly but also speak to the growing needs and demands of society. This volume is focused on saving energy at different levels of design and automation including the concept of machine learning automation and prediction modeling. It also deals with the design and analysis for IoT-enabled systems including energy saving aspects at different level of operation. The editors and contributors also cover the fundamental concepts of IoT and machine learning, including the latest research, technological developments, and practical applications. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in the area of IoT and machine technology, this is a must-have for any library.
Design and Performance Optimization of Renewable Energy Systems provides an integrated discussion of issues relating to renewable energy performance design and optimization using advanced thermodynamic analysis with modern methods to configure major renewable energy plant configurations (solar, geothermal, wind, hydro, PV). Vectors of performance enhancement reviewed include thermodynamics, heat transfer, exergoeconomics and neural network techniques. Source technologies studied range across geothermal power plants, hydroelectric power, solar power towers, linear concentrating PV, parabolic trough solar collectors, grid-tied hybrid solar PV/Fuel cell for freshwater production, and wind energy systems. Finally, nanofluids in renewable energy systems are reviewed and discussed from the heat transfer enhancement perspective. - Reviews the fundamentals of thermodynamics and heat transfer concepts to help engineers overcome design challenges for performance maximization - Explores advanced design and operating principles for solar, geothermal and wind energy systems with diagrams and examples - Combines detailed mathematical modeling with relevant computational analyses, focusing on novel techniques such as artificial neural network analyses - Demonstrates how to maximize overall system performance by achieving synergies in equipment and component efficiency
Memory Design Techniques for Low Energy Embedded Systems centers one of the most outstanding problems in chip design for embedded application. It guides the reader through different memory organizations and technologies and it reviews the most successful strategies for optimizing them in the power and performance plane.
Reactor Process Design in Sustainable Energy Technology compiles and explains current developments in reactor and process design in sustainable energy technologies, including optimization and scale-up methodologies and numerical methods. Sustainable energy technologies that require more efficient means of converting and utilizing energy can help provide for burgeoning global energy demand while reducing anthropogenic carbon dioxide emissions associated with energy production. The book, contributed by an international team of academic and industry experts in the field, brings numerous reactor design cases to readers based on their valuable experience from lab R&D scale to industry levels. It is the first to emphasize reactor engineering in sustainable energy technology discussing design. It provides comprehensive tools and information to help engineers and energy professionals learn, design, and specify chemical reactors and processes confidently. - Emphasis on reactor engineering in sustainable energy technology - Up-to-date overview of the latest reaction engineering techniques in sustainable energy topics - Expert accounts of reactor types, processing, and optimization - Figures and tables designed to comprehensively present concepts and proceduresHundreds of citations drawing on many most recent and previously published works on the subject
Memory Design Techniques for Low Energy Embedded Systems centers one of the most outstanding problems in chip design for embedded application. It guides the reader through different memory organizations and technologies and it reviews the most successful strategies for optimizing them in the power and performance plane.
"Nowadays, the energy crisis is one of the controversial issues around the world. Regarding the fact that the largest energy end use in the world belongs to the construction and residential sector, it seems necessary to analyze the energy flow in the buildings. The most sustainable energy design technique is to conserve energy as much as possible. There are various methods to reduce the use of conventional energy from fossil fuels to meet the energy requirement for the building. Various strategies including photovoltaic-thermal systems and insulation systems with the aim of minimizing building energy in different climate conditions (Cold-weather/Hot weather) were presented and assessed in the first chapter. A comprehensive work was carried out to investigate the effect of adding nanoparticles as concrete additives on both pore structure and thermophysical properties of the concrete at different ages. Besides, the behavioral models using Genetic Algorithm (GA) programming were developed to describe the time-dependent behavioral characteristics of nanoparticle blended concrete samples in various compressive and tensile stress states. Chapter 3 deals with the traditional energy saving techniques to highlight the potential of learning from traditional architecture and adopting their experiences to fulfill modern expectations. In this regard, Iranian classical architecture, particularly at hot arid climate, is taken into account. On the other hand, geothermal energy as one of the most significant alternative sources of thermal and electrical energy have been discussed. To address the growing demand of power generation and its related challenges of the existing electrical power grid, Smart Grid (SG) systems comes as a solution that lays in taking the world forward to reach energy independence and environmentally sustainable economic growth. The final chapter provides various information about the smart grid systems and the efficiency of such systems is analyzed through a detailed case study"--