Elsevier Simulation and Optimization in Process Engineering: The Benefit of Mathematical Methods in Applications of the Chemical Industry

Product Description Simulation and Optimization in Process Engineering: The Benefit of Mathematical Methods in Applications of the Process Industry brings together examples where the successful transfer of progress made in mathematical simulation and optimization has led to innovations in an industrial context that created substantial benefit. Containing introductory accounts on scientific progress in the most relevant topics of process engineering (substance properties, simulation, optimization, optimal control and real time optimization), the examples included illustrate how such scientific progress has been transferred to innovations that delivered a measurable impact, covering details of the methods used, and more. With each chapter bringing together expertise from academia and industry, this book is the first of its kind, providing demonstratable insights. Review Provides insights from experts in academia and industry into exactly how academic research in process engineering can be applied in industrial settings From the Back Cover In recent years remarkable progress has been made applying mathematical methods in process simulation and optimization, resulting in significant improvements in the design and operation of industrial production plants. <i>Simulation and Optimization in Process Engineering: The Benefit of Mathematical Methods in Applications of the Process Industry</i> brings together examples where the successful transfer of progress made in mathematical simulation and optimization has led to innovations in an industrial context that created substantial benefit. Containing introductory accounts on scientific progress in the most relevant topics of process engineering (substance properties, simulation, optimization, optimal control and real time optimization), the examples included illustrate how such scientific progress has been transferred to innovations that delivered a measurable impact, covering details of the methods used, how they were implemented in an industrial context, which hurdles had to be overcome and how they created benefit – often beyond what had first been expected. With each chapter bringing together expertise from academia and industry, this book is the first of its kind, providing demonstratable insights. About the Author Michael Bortz studied Physics in Dortmund and Grenoble. He received his Ph.D. at Dortmund University in 2003. After that, he worked as a PostDoc at universities in Wuppertal, Canberra (Australian National University), Oxford, and Kaiserslautern. In 2009 he joined the Fraunhofer Institute for Industrial Mathematics in Kaiserslautern, where he is now leading the department for optimization of technical processes. His research interests are in modeling, simulating, and optimizing processes in different application domains, including medical therapy planning, mechanical, and chemical engineering. Norbert Asprion studied mechanical engineering at University of Kaiserslautern, Germany and received his Ph.D. (Supervisor Prof. G. Maurer) in the field of thermodynamics of hydrogen-bonding solutions from Kaiserslautern University in 1996. Since then he has been with BASF SE in Ludwigshafen. After several positions in process development and 6 years in technical marketing, he is currently heading a team responsible for “Chemical Process Modeling in the department “Digitalization in Research & Development. His research interest is focused on process modeling, simulation and optimization to support decision making in process development. He is a Senior Principal Scientist at BASF and a member of the EFCE CAPE working party. He is a Senior Principal Scientist at BASF, a member of the EFCE CAPE working party and the CO LaN management board.