 |
|
| STOCHASTIC MODELLING IN PROCESS TECHNOLOGY, 211
| |
| | |
|
|
To order this title, and for more information, click here
By
Herold Dehling, Ruhr-Universität Bochum, Department of Mathematics, Bochum, Germany
Timo Gottschalk
Alex Hoffmann, University of Bergen, Department of Physics and Technology, Bergen, Norway
Included in series
Mathematics in Science and Engineering,
Description
There is an ever increasing need for modelling complex processes reliably. Computational modelling techniques, such as CFD and MD may
be used as tools to study specific systems, but their emergence has not decreased the need for generic, analytical process models. Multiphase
and multicomponent systems, and high-intensity processes displaying a highly complex behaviour are becoming omnipresent in the processing
industry.
This book discusses an elegant, but little-known technique for formulating process models in process technology: stochastic
process modelling.
The technique is based on computing the probability distribution for a single particle's position in the process vessel,
and/or the particle's properties, as a function of time, rather than - as is traditionally done - basing the model on the formulation
and solution of differential conservation equations.
Using this technique can greatly simplify the formulation of a model, and even
make modelling possible for processes so complex that the traditional method is impracticable.
Stochastic modelling has sporadically
been used in various branches of process technology under various names and guises. This book gives, as the first, an overview of this
work, and shows how these techniques are similar in nature, and make use of the same basic mathematical tools and techniques.
The
book also demonstrates how stochastic modelling may be implemented by describing example cases, and shows how a stochastic model may
be formulated for a case, which cannot be described by formulating and solving differential balance equations.
Key Features:
-
Introduction to stochastic process modelling as an alternative modelling technique
- Shows how stochastic modelling may be succesful
where the traditional technique fails
- Overview of stochastic modelling in process technology in the research literature
- Illustration
of the principle by a wide range of practical examples
- In-depth and self-contained discussions
- Points the way to both mathematical
and technological research in a new, rewarding field
Audience
Researchers in the processing industry. Also suitable for researchers and graduate students in universities, mathematics, physics and engineering departments.
| Bibliographic details |
Hardbound, 290 pages, publication date: JUL-2007
ISBN-13: 978-0-444-52026-5
ISBN-10: 0-444-52026-0
Imprint: ELSEVIER
|
| Price and Ordering |
Price:
USD 142
EUR 105.95
GBP 90
|  |
Books and book related electronic products are priced in US dollars (USD), euro (EUR), and Great Britain Pounds (GBP). USD prices apply to the Americas and Asia Pacific. EUR prices apply in Europe and the Middle East. GBP prices apply to the UK and all other countries.
|
See also information about conditions of sale & ordering procedures, and links to our regional sales offices.
|
050/501
Last update: 5 Sep 2009
|
|
| |
| | |
|
|
| |
Home | Elsevier Sites | Privacy Policy | Terms and Conditions | Feedback | Site Map | A Reed Elsevier Company