Toggle Main Menu Toggle Search

Open Access padlockePrints

Identification of chemical reaction mechanism from batch process data

Lookup NU author(s): Dr Dominic Searson, Samantha Burnham, Dr Mark Willis, Professor Allen Wright

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

This paper demonstrates how, in principle, the structure of a set of ordinary differential equations representing a chemical mechanism (i.e. a reaction network) can be identified from experimental data obtained from a batch reactor. The proposed system identification method uses a non-linear basis function approach. A case study using noisy data from a simulated batch reactor is used to demonstrate the identification procedure for a reaction network containing 4 chemical species. It is shown that the method is capable of correctly identifying the underlying network of chemical reactions.


Publication metadata

Author(s): Searson DP, Burnham SC, Willis MJ, Wright AR

Editor(s): Wamkeue, R

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Proceedings of the 17th IASTED International Conference on Modelling and Simulation

Year of Conference: 2006

Pages: 511-516

Publisher: ACTA Press

Library holdings: Search Newcastle University Library for this item

ISBN: 0889865949


Share