Chemical Engineering Process Simulation is ideal for students, early career researchers, and practitioners, as it guides you through chemical processes and unit operations using the main simulation softwares that are used in the industrial sector. This book will help you predict the characteristics of a process using mathematical models and computer-aided process simulation tools, as well as model and simulate process performance before detailed process design takes place. Content coverage includes steady and dynamic simulations, the similarities and differences between process simulators, an introduction to operating units, and convergence tips and tricks. You will also learn about the use of simulation for risk studies to enhance process resilience, fault finding in abnormal situations, and for training operators to control the process in difficult situations. This experienced author team combines industry knowledge with effective teaching methods to make an accessible and clear comprehensive guide to process simulation. - Ideal for students, early career researchers, and practitioners, as it guides you through chemical processes and unit operations using the main simulation softwares that are used in the industrial sector - Covers the fundamentals of process simulation, theory, and advanced applications - Includes case studies of various difficulty levels to practice and apply the developed skills - Features step-by-step guides to using UniSim Design, PRO/II, ProMax, Aspen HYSYS for process simulation novices - Helps readers predict the characteristics of a process using mathematical models and computer-aided process simulation tools
Integrated biorefinery is a process facility that converts biomass into value added products with maximum energy and material recovery. It has the ability to provide strong, self-dependent, sustainable and environmentally benign alternatives for the production of bulk and fine chemicals. However, there is a need for a methodology capable of evaluating the integrated processes in order to identify the optimal products possible to be obtained from biomass and the best synthesis routes for producing them. To address this issue, a systematic methodology for optimal product design in an integrated biorefinery is presented in this work. To illustrate the proposed approach, a proof of concept example is presented.
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