ABSTRACT
Process modeling and simulation is the fastest and the most cost-effective method to accomplish process optimization. Mathematical models describe a system using mathematical concepts and language. Process simulation is based on the mathematical model. Mathematical models allow representation of the dynamics of the system via simulation. This chapter begins with an introduction and background on the importance of mathematical models, terminology of process modeling and simulation, and why studying process modeling simulation is important. Various definitions necessary for understanding the subject and frequently used in process modeling and simulation are presented. Examples are the difference between steady sate and transient, lumped, and distributed parameter systems; model verification and model validation; and microscopic and macroscopic balance. The steps for building a mathematical model are outlined. The chapter ends with a brief review of material energy balance and thermodynamic relations.
