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Books in Physical sciences and engineering

  • Nanomaterials in Membrane and Advanced Material Technologies

    Innovations and Applications
    • 1st Edition
    • Fatma Yalcinkaya + 2 more
    • English
    Nanomaterials in Membrane and Advanced Material Technologies explores the combination of membranes with the unique properties of nanomaterials, providing a clear, detailed look at the advancements, challenges, and potential uses of this technology in various industries. Starting with a foundational introduction, the book reviews the fundamentals of membrane technology and the properties of nanomaterials, from carbon-based and metallic nanoparticles to polymeric and hybrid structures. It then discusses the fabrication and characterization techniques of nanomaterial-enhance... membranes, followed by a thorough analysis of their roles in different filtration processes such as microfiltration, nanofiltration, ultrafiltration, reverse osmosis, gas separation, and electro-membrane processes. The book also looks at the environmental impacts, safety concerns, and regulatory issues related to these technologies, ensuring a full understanding of their impact. This is an essential resource for researchers, materials scientists, engineers, and professionals in the fields of membrane technology, environmental science, and sustainability.

  • Computational Fluid Dynamics in Chemical Engineering

    Fundamentals and Applications
    • 1st Edition
    • Cíntia Soares + 1 more
    • English
    Computational Fluid Dynamics in Chemical Engineering: Fundamentals and Applications begins with an overview of the current use and critical importance in both industrial and academic scenarios, presenting the key concepts that are the base of this discipline and showing how it is strongly related to a variety of adjacent areas. The fundamentals of the necessary mathematical modelling required and the solution of complex system of equations using CFD techniques (with a comprehensive description of different numerical methods) are then presented in detail.Part II then presents a variety of applications of CFD in the context of Chemical Reaction Engineering. Detailed examples are explored, ranging from single-phase to multiphase reactors (including operation in microfluidic devices before presenting the main trends, challenges, and opportunities for CFD in this area over the next decades. Part III presents a variety of applications of CFD in the context of the Unit Operations of Chemical Engineering. Detailed examples are explored, ranging from fluid mixing to coupled heat and mass transport phenomena, passing through heat transfer, solids handling and transport in porous media. Part IV concludes the book with an overview of advanced uses of CFD in Chemical Engineering and related areas with a focus on Multiphysics applications (e.g., combining CFD with acoustics, analysing and designing photochemical reactors coupling CFD with light modelling, etc.). Multiscale applications, combining CFD with macroscopic and molecular simulation are also discussed. Finally, an overview of combining CFD with optimization techniques (including DOE and machine learning) is presented.The book is primarily intended for graduate level students and early career students in chemical engineering as well as those working in industry on the analysis, design, optimization and scale-up of a variety of equipment who require better understanding of phenomena occurring in that environment.

  • Exploring MXene and Advanced Nanomaterials in Renewable Energy Applications

    • 1st Edition
    • Kumuran Kadirgama + 2 more
    • English
    Exploring MXene and Advanced Nanomaterials in Renewable Energy Applications is a groundbreaking book that delves into the properties, synthesis and applications of MXene and other advances nanomaterials in renewable energy systems. MXene is a two-dimensional material that has great significance in renewable energy applications due to its high thermal conductivity. Several thermal systems used in renewable energy technologies can exploit the benefits of MXene and nanomaterials for enhanced heat transfer as a fluid, electrothermal energy conversion. thermal management of solar thermal and geothermal systems, and thermal energy storage. The low cost of production and scalability of MXene makes it a potential candidate to be seamlessly merged in renewable thermal applications. The book highlights MXene’s high thermal conductivity and its potential to revolutionize efficiency in a variety of renewable energy applications. It bridges the gap between scientific research and practical application, providing comprehensive knowledge for industry professionals, academics and students. This novel resource inspires innovation and advances research in this rapidly evolving field by improving thermal energy systems to generate more electricity, reducing greenhouse emissions and transition to low-carbon energy. The text catalyzes advancements in renewable energy applications, contributing to the global effort towards more sustainable energy solutions. Exploring MXene and Advanced Nanomaterials in Renewable Energy Applications educates and informs readers about the potential of advanced materials such as MXene to improve the efficiency, durability, and sustainability of renewable energy systems.

  • Landslide Science

    Geospatial Advances in Monitoring, Modeling, and Management
    • 1st Edition
    • Christos Polykretis + 3 more
    • English
    Landslide Science: Geospatial Advances in Monitoring, Modeling, and Management presents a detailed exploration of the latest advancements in landslide research, offering a thorough examination of the latest geospatial technologies and methodologies. The book begins with a comprehensive exploration of landslides, starting with an understanding of their nature, including characteristics, types, and historical perspectives. Factors triggering or influencing landslides are examined, such as rainfall, earthquakes, and topographical influences. Remote sensing techniques for landslide investigation are detailed, covering detection, monitoring, and imagery data processing methods using various sensors and technologies. Spatial landslide assessment and mapping are discussed, including inventory mapping, susceptibility assessment, and hazard assessment utilizing different approaches and uncertainty validation methods. Engineering-based landslide analysis focuses on geotechnical aspects, hydrogeological influences, and methodologies for simulations and slope stability analysis. The book also addresses landslide impacts and risk management strategies, covering vulnerability assessment, risk analysis, environmental consequences, prevention, mitigation strategies, and community engagement. Advancing science and future directions in landslide research are explored, including trends in landslide occurrence, early warning systems, technological innovations, and remaining challenging issues in landslide science. This comprehensive guide offers valuable insights and strategies for understanding, assessing, and managing landslides for a more resilient future.

  • Intelligent Management of Energy Systems

    • 1st Edition
    • Md Shafiullah + 3 more
    • English
    Intelligent Management of Energy Systems provides a holistic overview of the opportunities for utilising artificial intelligence to optimize modern energy systems, including system dynamics, components, and business perspectives. This book begins with an overview of energy system dynamics, followed by detailed step-by-step breakdowns of critical artificial intelligence and machine learning techniques, as well as methods for assessing greenhouse-gas emissions. Further chapters spotlight microgrids, high-voltage testing for essential components such as circuit breakers and transformers, and perspectives from business and social disciplines. Designed for students, engineers, and researchers, Intelligent Management of Energy Systems combines clear, foundational methodologies, technical implementation, and business perspectives: a robust toolkit for AI utilization in energy system optimization.

  • Lattice Dynamics of Molecular Crystals and Weak Chemical Interactions

    Investigation using Raman Spectroscopy Methods
    • 1st Edition
    • Boris Kolesov
    • English
    Weak chemical interactions (van der Vaals, halogen and hydrogen bonding) establish the structure of molecular crystals. Even if the nature of van der Vaals interaction is now well understood and described, then the essence of halogen and hydrogen bonds is still debated. Understanding their nature is crucial for the design and synthesis of organic, pharmaceutical and biological systems, as well as for predicting the main physicochemical properties of synthesized objects.Lattice Dynamics of Molecular Crystals and Weak Chemical Interactions: Investigation using Raman Spectroscopy Methods shows how to fully exploit the capabilities of Raman spectroscopy in the study of weak chemical interactions in molecular crystals. It presents the concept of weak chemical interactions based on experimental study of a wide class of molecular crystals. Information on the temperature dependence of the parameters of vibrational modes makes it possible to obtain information on the potential of intermolecular interaction, the degree of its anharmonicity, the orientational mobility of molecules in a crystal, structural phase transitions, and the behaviour of a proton on a hydrogen bond.Lattice Dynamics of Molecular Crystals and Weak Chemical Interactions: Investigation using Raman Spectroscopy Methods is written primarily for physical and organic chemists as well scientists and engineers involved in crystal engineering and the synthesis and design of any molecular crystals and crystalline structures containing weak chemical interactions. It will also be of use to anyone investigating lattice dynamics probed by Raman spectroscopy, including a diverse range of chemists and physicists or those whose interests lie in the fields of biological or pharmaceutic systems.

  • Computer Simulation of Buildings and Solar Energy Systems

    • 1st Edition
    • Juergen Schumacher
    • Ursula Eicker
    • English
    Computer Simulation of Buildings and Solar Energy Systems aims to bridge the gap between the basic concepts and theoretical aspects of solar technology, and their practical applications, enabling readers to simulate solar energy systems, solar thermal energy, and thermal performance of buildings. Acknowledging the critical need for robust, scalable simulation tools that can adapt to varied climates, helping professionals and students overcome challenges related to energy efficiency, sustainable urban development, and the optimization of renewable resources, the book covers the fundamentals and latest advances in simulation techniques and tools that are crucial to accelerating the transition to renewable energy. This is supported by case studies, example code, equations, data sets, and extensive visuals such as process diagrams, flowcharts, and photos. This is a valuable resource to readers at various levels, from practitioners looking to enhance their technical skills in renewable energy and building simulation, to academic researchers exploring innovative simulation methodologies, to students looking to understand simulation techniques in this complex, multidisciplinary area.

  • Integration of Thermoelectric Technology in Hybrid Solar Energy Systems

    • 1st Edition
    • Howard Njoku + 1 more
    • English
    Integration of Thermoelectric Technology in Hybrid Solar Energy Systems brings together the latest developments and highlights emerging trends in the application of thermoelectrics in hybrid solar energy systems, supported by practical guidance and case studies. The book begins by introducing the key concepts of thermoelectrics and hybrid renewable energy systems, with discussion of hybrid system types, methods of hybridization, design, optimization, and performance, as well as detailed coverage of thermoelectrics for cooling and power generation in terms of fundamental physics, underlying equations, modelling and simulation, and analytical, numerical, and hybrid approaches. This is followed by further in-depth chapters focusing on specific application areas, including solar thermoelectric (TE) power generation, hybrid solar PV-TE power generation, hybrid solar thermal-TE heating systems, TE-embedded solar distillations, hybrid solar-TE cooling systems, and solar-TE applications for indoor thermal comfort. A final chapter explores the economics and environmental considerations in the integration of thermoelectric systems in solar energy systems, covering methodologies for applying cost-benefit analyses and life-cycle assessments, and potential environmental benefits. This is a helpful resource to all those looking to stay up-to-date with the latest research developments, to deepen their understanding of the field, or to leverage the latest research findings to inform decision-making and innovation, including researchers, advanced students, faculty, engineers, R&D, scientists, industry professionals, and policy makers.

  • Recent Advances in Artificial Intelligence and Machine Learning for Thermochemical and Biochemical Bioprocess

    • 1st Edition
    • Mukesh Kumar Awasthi + 2 more
    • English
    Recent Advances in Artificial Intelligence and Machine Learning for Thermochemical and Biochemical Bioprocess delves into the transformative role of AI and ML in enhancing the efficiency and effectiveness of bioprocess operations. The book covers everything from predictive modeling and bioreactor design to the integration of IoT in Bioprocess 4.0, and synthesizes the latest scientific advancements and practical applications in the field of thermochemical and biochemical bioprocesses. The book explores a wide array of topics, including deep learning applications in gasification, the role of artificial neural networks in process control, and the use of genetic algorithms in thermochemical processing. Each chapter offers invaluable insights into current methodologies and future perspectives. Recent Advances in Artificial Intelligence and Machine Learning for Thermochemical and Biochemical Bioprocess provides a solid foundation for applying AI and ML techniques to tackle pressing challenges in clean fuel production, waste management, and climate change mitigation.

  • Computational Modelling Approaches to Energy Storage Materials

    Operating Mechanisms, State-of-the-Art Methods, and Applications to the Atomistic Modelling of Batteries and Capacitors
    • 1st Edition
    • Daniele Fazzi + 1 more
    • English
    One of the most important goals in sustainable energy management is the design of new energy storage materials capable of increasing battery performance, durability, and at the same time, taking up the global challenge of increasing the energy saving capabilities through sustainable solutions. Atomistic design has experienced a tremendous boost in the last two decades thanks to the implementation and application of quantum mechanics and molecular dynamics-based approaches coupled, very recently, to artificial intelligent/machine learning algorithms. Such methods pave the way for the discovery and design of new materials for energy storage technologies. Computational Modelling Approaches to Energy Storage Materials: Operating Mechanisms, State-of-the-Art Methods, and Applications to the Atomistic Modelling of Batteries and Capacitors demonstrates how theoretical and computational chemistry methods can be applied in describing and predicting the properties of energy storage materials. Part I of the book introduces the reader to this heterogeneous topic, providing a general overview of the different types of batteries and capacitors, highlighting (from both historical and mechanistic points of view) the physical and operating principles of such systems. Part II contains the methodological core of the book, in terms of theoretical and computational methods. Most existing books includes a similar section where the formalisms of different methods are given, such as by explaining the theoretical concepts. Although this approach is certainly valid, this book goes a step further by giving more relevance to the computational side. Part III concerns the application of the methods described in Part II (as standalones or as a combination of those methods) to study mechanisms, processes, properties, and working principles of several energy storage systems, all based on the initial description in Part I. Computational Modelling Approaches to Energy Storage Materials is written primarily for chemists, physicists and materials scientists at graduate, post-doc, and researcher level (with both theory and experimental background), wishing to apply computational methods to model the complexity of energy storage materials. The book will be highly relevant to researchers interested in applying different atomistic methods to the topic of energy materials, as well as specialists across the fields of physics, chemistry, materials science, and related engineering areas who require a better understanding of materials modelling.

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