Developing Phenomena Models from Experimental Data

Niels Rode Kristensen, Henrik Madsen, Sten Bay Jørgensen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

A systematic approach for developing phenomena models from experimental data is presented. The approach is based on integrated application of stochastic differential equation (SDE) modelling and multivariate nonparametric regression, and it is shown how these techniques can be used to uncover unknown functionality behind various phenomena in first engineering principles models using experimental data. The proposed modelling approach has significant application potential, e.g. for determining unknown reaction kinetics in both chemical and biological processes. To illustrate the performance of the approach, a case study is presented, which shows how an appropriate phenomena model for the growth rate of biomass in a fed-batch bioreactor can be inferred from data.
Original languageEnglish
Title of host publicationEuropean Symposium on Computer Aided Process Engineering-13 : 36th European Symposium of the Working Party on Computer Aided Process
Publication date2003
Pages1091-1096
ISBN (Print)978-0-444-51368-7
DOIs
Publication statusPublished - 2003
Event13th European Symposium on Computer Aided Process Engineering: 36th European Symposium of the Working Party on Computer Aided Process Engineering - Lappeenranta, Finland
Duration: 1 Jun 20034 Jun 2003
Conference number: 13, 36

Conference

Conference13th European Symposium on Computer Aided Process Engineering
Number13, 36
CountryFinland
CityLappeenranta
Period01/06/200304/06/2003
SeriesComputer Aided Chemical Engineering
Volume14
ISSN1570-7946

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