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Gas Capture Processes
This book introduces the recent technologies introduced for gases capture including CO2, CO, SO2, H2S, NOx, and H2. Various processes and theories for gas capture and removal are presented. The book provides a useful source of information for engineers and specialists, as well as for undergraduate and postgraduate students in the fields of environmental and chemical science and engineering.
Actionable Science of Global Environment Change
This volume teaches readers how to sort through the vast mountain of climate and environmental science data to extract actionable insights. With the advancements in sensing technology, we now observe petabytes of data related to climate and the environment. While the volume of data is impressive, collecting big data for the sake of data alone proves to be of limited utility. Instead, our quest is for actionable data that can drive tangible actions and meaningful impact. Yet, unearthing actionable insights from the accumulated big data and delivering them to global stakeholders remains a burgeoning field. Although traditional data mining struggles to keep pace with data accumulation, scientif...
Industry 4.0 Vision for the Supply of Energy and Materials
Industry 4.0 Vision for the Supply of Energy and Materials Explore the impact of Industry 4.0 technologies on the supply chain with this authoritative text written by a leader in his field In Industry 4.0 Vision for the Supply of Energy and Materials, distinguished researcher and editor, Dr. Mahdi Sharifzadeh, delivers thematic, analytic, and applied discussions of the Industry 4.0 vision for supply chain design and operation. The book compiles all current aspects and emerging notions of Industry 4.0 into clusters of "enablers" and "analytics" of Supply Chain 4.0. Their multifaceted and highly interconnected nature is discussed at length, as are their diverse range of applications. You will ...
A Practical Guide to Industrial Ecology by Input-Output Analysis
This book addresses the growing need for a standard textbook on input-output analysis (IO) within the context of industrial ecology (IE). IE is a discipline dedicated to providing system-wide, quantitative, and science-based solutions for sustainable development challenges, and its global importance has been rapidly increasing. The primary analytical tools of IE are life-cycle assessment (LCA) and material flow analysis (MFA). IO has been widely utilized for LCA since the late 1990s and is increasingly being applied to MFA as well. This trend is being driven by the greater availability and application of global IO data, which now includes an ever-expanding number of countries and regions. Despite the presence of excellent textbooks on IO and IE individually, there is a lack of resources that integrate these two fields. This book seeks to fill that gap by focusing on the practical application of IO to IE, specifically in the context of LCA and MFA. By combining these methodologies, readers can gain valuable insights into sustainable development issues and contribute to more effective solutions in the field of IE.
Machine Learning Applications in Subsurface Energy Resource Management
The utilization of machine learning (ML) techniques to understand hidden patterns and build data-driven predictive models from complex multivariate datasets is rapidly increasing in many applied science and engineering disciplines, including geo-energy. Motivated by these developments, Machine Learning Applications in Subsurface Energy Resource Management presents a current snapshot of the state of the art and future outlook for ML applications to manage subsurface energy resources (e.g., oil and gas, geologic carbon sequestration, and geothermal energy). Covers ML applications across multiple application domains (reservoir characterization, drilling, production, reservoir modeling, and pred...
Design and Operation of Solid Oxide Fuel Cells
Design and Operation of Solid Oxide Fuel Cells: The Systems Engineering Vision for Industrial Application presents a comprehensive, critical and accessible review of the latest research in the field of solid oxide fuel cells (SOFCs). As well as discussing the theoretical aspects of the field, the book explores a diverse range of power applications, such as hybrid power plants, polygeneration, distributed electricity generation, energy storage and waste management—all with a focus on modeling and computational skills. Dr. Sharifzadeh presents the associated risks and limitations throughout the discussion, providing a very complete and thorough analysis of SOFCs and their control and operati...
Applications of Machine Learning
This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.
Urban Energy Systems
This book analyses the technical and social systems that satisfy these needs and asks how methods can be put into practice to achieve this.
