As a mature topic in chemical engineering, the book provides methods, problems and tools used in process engineering control. It is the ideal addition to the first volume Basic Process Engineering Control. It is written for students and graduates in chemical or process engineering and for chemical or process engineers in all industries.
Basic Process Engineering Control is based on the extensive experience of theauthors in the field of industry, teaching and writing. The textbook showcasesmethods, problems, and tools used in this well-established fi eld of chemical engineering and goes beyond traditional process engineering by applying the same principles to biomedical processes, energy production, and management of environmental issues. Starting from the behavior of processes, Basic Process Engineering Control explains all determinations in “chemical systems” or “process systems”, such as the intricate inter dependency of the process stages, analyzing the hardware components of a control system, and the design of an appropriate control system for a process parameter or a whole process. Although mainly aimed at students and graduates, the book is equally interesting to chemical or process engineers in all industries or research and development centers. Readers will notice the similarity in approach from the system and control point of view between different fields, which might otherwise seem far from each other but share the same control philosophy.
Filling a gap in the literature for a practical approach to the topic, this book is unique in including a whole section of case studies presenting a wide range of applications from polymerization reactors and bioreactors, to distillation column and complex fluid catalytic cracking units. A section of general tuning guidelines of MPC is also present. These thus aid readers in facilitating the implementation of MPC in process engineering and automation. At the same time many theoretical, computational and implementation aspects of model-based control are explained, with a look at both linear and nonlinear model predictive control. Each chapter presents details related to the modeling of the process as well as the implementation of different model-based control approaches, and there is also a discussion of both the dynamic behaviour and the economics of industrial processes and plants. The book is unique in the broad coverage of different model based control strategies and in the variety of applications presented. A special merit of the book is in the included library of dynamic models of several industrially relevant processes, which can be used by both the industrial and academic community to study and implement advanced control strategies.