Interplant Resource Integration: Optimization and Allocation presents an introduction to the planning and implementation methods for interplant resource integration. The analytic tools provided in this book can be used for the tasks of formulating mathematical programming model(s) to maximize the achievable overall savings and also for devising the "fair" distribution scheme(s) to allocate individual financial benefits among the participating plants. Offers tools for gaining economic benefit and environmental friendliness Presents methods for realistically feasible solutions Provides concrete mathematical modeling procedures Familiarizes readers with various network synthesis approaches and shows alternative viewpoints that can be adopted to model the interactions of participating members in an interplant resource integration scheme Aimed at chemical engineers, process engineers, industrial chemists, mechanical engineers in the fields of chemical processing and plant engineering.

Interplant Resource Integration: Optimization and Allocation presents an introduction to the planning and implementation methods for interplant resource integration. The analytic tools provided in this book can be used for the tasks of formulating mathematical programming model(s) to maximize the achievable overall savings and also for devising the "fair" distribution scheme(s) to allocate individual financial benefits among the participating plants. Offers tools for gaining economic benefit and environmental friendliness Presents methods for realistically feasible solutions Provides concrete mathematical modeling procedures Familiarizes readers with various network synthesis approaches and shows alternative viewpoints that can be adopted to model the interactions of participating members in an interplant resource integration scheme Aimed at chemical engineers, process engineers, industrial chemists, mechanical engineers in the fields of chemical processing and plant engineering.

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.