Computational Methods for Process Simulation

From the Publisher: In the chemical industry large, realistic non-linear problems are routinely solved with the aid of computer simulation. This has a number of benefits, including easy assessment of the economic desirability of a project, convenient investigation of the effects of changes to system variables, and finally the introduction of mathematical rigour into the design process and inherent assumptions that may not have been there before. 'Computational Methods for Process Simulation' develops the methods needed for the simulation of real processes to be found in the process industries. It also stresses the engineering fundamentals used in developing process models. Steady state and dynamic systems are considered, for both spatially lumped and spatially distributed problems. It develops analytical and numerical computational techniques for algebraic, ordinary and partial differential equations, and makes use of computer software routines that are widely available. Dedicated software examples are available via the Internet. Introduction Development of Mass, Energy and Momentum Balances Steady-State Lumped Systems Unsteady-State Lumped Systems Reaction-Kinetic Systems Vapour-Liquid Equilibrium Operations Microscopic Balances Solution of Split Boundary-Value Problems Solution of Partial Differential Equations Nomenclature Appendices Analytical Solutions to Ordinary Differential Equations IMSL Routines Index