Ground Source Heat Pump Systems for Renewable Heating and Cooling: Design, Numerical Modeling, and Optimization presents a comprehensive account of GSHP systems and their potential for renewable heating and cooling based on unique case studies from Akita University since 2014. The book covers all aspects of ground source heat pump (GSHP) systems for meeting the heating and cooling demands of energy-efficient buildings across the world. With access to critical data and experimental results across countries, from Japan to Canada, and including both vertical and horizontal grounds heat exchangers, this book presents the latest steps and best practices for utilization.Practical elements include maps, installations, field measurements and numerical modeling using the experience of researchers in Japan. Bringing these tools together, the book's chapters offer solutions to the many challenges of these systems, including feasibility studies, optimum well depths, unbalanced heating and cooling demands, and hybrid systems.
Handbook of Power Electronics in Smart Grids and Intelligent Energy is an expert guide to smart grids, intelligent energy, artificial intelligence and machine learning applications increasingly enabled by modern grid-aware power electronics converters. The work is designed to provide clear technical presentation with a focus on commercial viability, and it supports any or all aspects of a project requiring specialist design, analysis, installation, commissioning, and maintenance services. With this book in hand, engineers will be able to execute design, analysis and evaluation of assigned projects using sound engineering principles and adhering to the business policies and product/program requirements. The handbook supports power electronics engineers and researchers interested in new approaches to advance smart grid security, resiliency, energy management, energy efficiency, diagnostics and control systems and power electronics interfaces.
Cable-Network Structures: A New Approach to Form Finding, Optimal Design, and Shape Control provides a framework for form finding, optimal design, and shape control of cable-network structures in various engineering applications. Summarizing the latest research on these structures, the book outlines cutting-edge methods for form finding, modeling, pseudo-geodesic design of surface geometries, minimum residual nodal displacements for optimal shape adjustment, and more. These methods are applied to various large-scale structures, and they are compared with other methods in numerical simulations.Self-contained and easy-to-understand, this book serves as a useful resource on modeling, analysis, design, and control of cable-network structures for professionals, researchers, and students in aerospace, mechanical, and civil engineering.
Modern Energy Storage: The Key to Energy System Transformation is a unique reference designed to give students and researchers the most advanced information on technologies in energy storage systems. Compiled by global experts and considering latest advances related to full recyclable process, second use, pollution reduction, and low-carbon industry & economy, this book addresses the current challenges of energy storage technologies and potential solutions. It includes comprehensive information on algorithms, methods, and programs as a technical-encyclopedia for energy-storage-related areas such as Electric vehicles, Intelligent Transportation, Environment, and smart cities.Designed to inform, advise, and create discussion about the energy transition, climate, low carbon power and economy, the book's contributors provide abundant and valuable materials and references for students, researchers, engineers, and professors in energy, engineering, and environmental areas.
Supercritical Fluids in Pharmaceutical and Biomedical Technologies: From Controlled Drug Release Formulation to Tissue Engineering describes the well-studied, but previously not well summarised supercritical fluid technologies useful for pharmaceutical and biomedical applications. Supercritical technologies have been described over the last 20 years as innovative and capable of solving many problems relating to conventional chemical processes such as extraction, crystallization, foaming, drying precipitation, aerogels fabrications. This is generally true but there remain exceptions and limitations.Featuring extensive case studies and examples presenting from lab-scale to industrial scale, the author highlights the innovations of the described processes, but also their drawbacks, such as the difficulties to generalize the process application to several drugs and biomolecules. The book provides a critical overview on the necessity of process optimization case-by case that have limited the use of these dense gases in larger scale pharmaceutical or biomedical industrial production.Supercritical Fluids in Pharmaceutical and Biomedical Technologies: From Controlled Drug Release Formulation to Tissue Engineering will appeal to graduate and postdoc level students and researchers primarily in chemistry, pharmaceutical chemistry, and chemical engineering. R&D scientists at pharma and biotech companies and postdoc students studying advanced pharmaceutical technologies for drug delivery and tissue engineering, medical biomedical technology and bioengineering will also find the book useful for reference.
Turbulence and Transition in Supersonic and Hypersonic Flows explains how to understand and mathematically model these phenomena, with an emphasis on the unique challenges and features that the compressibility of the fluid introduces. This timely book responds to an increase in research interest in this topic, explaining how to use the latest numerical methods as well as providing important background theory. It covers both the problem of how a laminar boundary layer transitions to turbulence in the supersonic and hypersonic regime and the problem of how compressibility of a fluid affects turbulence.Compressible flows are important in many areas of engineering, including external aerodynamics, internal flows in propulsion and power generation applications, flows in supercritical fluids, and many others.
Carbon Capture and Storage: A Comprehensive Guide is a comprehensive presentation of the latest advances in research and technology on Carbon Capture and Storage (CCS). Given the urgency of scale-up and implementation of CCS to meet worldwide climate goals, this book addresses and engages all key stakeholders covering technical, economic, environmental, and legal aspects of CCS. This team of expert authors offer lessons learned to aid readers working on advancing CCS technologies and applications, considering a variety of relevant industries.This book will guide students and researchers through the latest research on CCS enabling them to identify new research topics to advance the field further. Professionals responsible for implementing advanced CCS to help reach climate goals will use this book as a guide to inform their activity and they will gain invaluable insight from lessons learned and best practices included.
Advances in Heat Transfer, Volume 59 presents the latest in a serial that highlights new advances in the field, with this updated volume presenting interesting chapters written by an international board of authors. Sample chapters in this new release include Nanoscale Thin Film Evaporation and Ice thermal energy storage modeling: A review.
Microinterfacial Mass Transfer Intensification provides new and updated technical information, along with basic theory. The book covers several representative industrial application cases and can be used as a reference for scholars, engineers, students, and technicians in oil refining, petrochemical, fine chemical, coal chemical, chemical and biochemical pharmacy, food processing, waste gas and wastewater treatment, and other pan-chemical manufacturing.
Data-driven Analysis and Modeling of Turbulent Flows explains methods for the analysis of large fields of data, and uncovering models and model improvements from numerical or experimental data on turbulence.Turbulence simulations generate large data sets, and the extraction of useful information from these data fields is an important and challenging task. Statistical learning and machine learning have provided many ways of helping, and this book explains how to use such methods for extracting, treating, and optimizing data to improve predictive turbulence models. These include methods such as POD, SPOD and DMD, for the extraction of modes peculiar to the data, as well as several reduced order models.This resource is essential reading for those developing turbulence models, performing turbulence simulations or interpreting turbulence simulation results.