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. 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, 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.