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Liquid multiphase processes represent a promising option for realizing novel, efficient, and sustainable production processes, as required for the transformation towards climate-neutral manufacturing processes. This volume presents the results obtained over twelve years in the DFG-funded collaborative project Transregio 63 "Integrated Chemical Processes in Liquid Multiphase Systems". In an interdisciplinary approach to the design and operation of such processes, essential principles of Green Chemistry are realized, such as using long-chain olefins as model representatives of renewable raw materials, highly effi cient catalysts, and green solvents, linked with process optimization to improve energy and material efficiency. Experts from different fields addressed all steps of the development process, from the description of the reactions on the molecular level via thermodynamics and the design of efficient separation processes to the operation of entire miniplants for liquid multiphase production processes. Thus, the complete development chain from the first reaction-related investigations in the laboratory to the technological realization in miniplants with model-based control is demonstrated. Numerous methodological innovations are proposed and validated using several innovative phase systems (thermomorphic multiphase systems, microemulsion systems, Pickering emulsions) and homogeneously catalyzed reactions. Engineers and chemists from the chemical industry as well as advanced students and researchers will get valuable insights into the physico-chemical phenomena in chemical multiphase processes and benefit from recommendations concerning methods for the selection of phase systems and rapid model-based process development.
This edited volume provides insights into and tools for the modeling, analysis, optimization, and control of large-scale networks in the life sciences and in engineering. Large-scale systems are often the result of networked interactions between a large number of subsystems, and their analysis and control are becoming increasingly important. The chapters of this book present the basic concepts and theoretical foundations of network theory and discuss its applications in different scientific areas such as biochemical reactions, chemical production processes, systems biology, electrical circuits, and mobile agents. The aim is to identify common concepts, to understand the underlying mathematical ideas, and to inspire discussions across the borders of the various disciplines. The book originates from the interdisciplinary summer school "Large Scale Networks in Engineering and Life Sciences" hosted by the International Max Planck Research School Magdeburg, September 26-30, 2011, and will therefore be of interest to mathematicians, engineers, physicists, biologists, chemists, and anyone involved in the network sciences. In particular, due to their introductory nature the chapters can serve individually or as a whole as the basis of graduate courses and seminars, future summer schools, or as reference material for practitioners in the network sciences.
This edited volume provides insights into and tools for the modeling, analysis, optimization, and control of large-scale networks in the life sciences and in engineering. Large-scale systems are often the result of networked interactions between a large number of subsystems, and their analysis and control are becoming increasingly important. The chapters of this book present the basic concepts and theoretical foundations of network theory and discuss its applications in different scientific areas such as biochemical reactions, chemical production processes, systems biology, electrical circuits, and mobile agents. The aim is to identify common concepts, to understand the underlying mathematical ideas, and to inspire discussions across the borders of the various disciplines. The book originates from the interdisciplinary summer school "Large Scale Networks in Engineering and Life Sciences" hosted by the International Max Planck Research School Magdeburg, September 26-30, 2011, and will therefore be of interest to mathematicians, engineers, physicists, biologists, chemists, and anyone involved in the network sciences. In particular, due to their introductory nature the chapters can serve individually or as a whole as the basis of graduate courses and seminars, future summer schools, or as reference material for practitioners in the network sciences.
Fuel cells are attractive electrochemical energy converters
featuring potentially very high thermodynamic efficiency factors.
The focus of this volume of "Advances in Chemical Engineering" is
on quantitative approaches, particularly based on chemical
engineering principles, to analyze, control and optimize the steady
state and dynamic behavior of low and high temperature fuel cells
(PEMFC, DMFC, SOFC) to be applied in mobile and stationary
systems.
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