Computational Methods for Process Simulation

W. Fred Ramirez

ISBN 10: 075063541X / ISBN 13: 9780750635417

Published by Butterworth-Heinemann 1997-11-20, 1997

About this Item

Seller Inventory # 6666-ELS-9780750635417

Bibliographic Details

Title: Computational Methods for Process Simulation

Publisher: Butterworth-Heinemann 1997-11-20

Publication Date: 1997

Binding: Hardcover

Condition: New

Edition: 2nd Edition

About this title

Synopsis:

Process Modelling and simulation have proved to be extremely successful engineering tools for the design and optimisation of physical, chemical and biochemical processes. The use of simulation has expanded rapidly over the last two decades because of the availability of large high-speed computers and indeed has become even more widespread with the rise of the desk-top PC resources now available to nearly every engineer and student.

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.

• Written for a compulsory course element in the US
• Includes examples using software used in academia and industry
• Software available via the Internet

About the Author:

Department of Chemical Engineering, University of Colorado