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Modeling and simulation of complex nonlinear dynamic processes using data based models: application to photo-Fenton process
dc.contributor.author | Shokry Abdelaleem Taha Zied, Ahmed |
dc.contributor.author | Audino, Francesca |
dc.contributor.author | Vicente, Patricia |
dc.contributor.author | Escudero Bakx, Gerard |
dc.contributor.author | Pérez Moya, Montserrat |
dc.contributor.author | Graells Sobré, Moisès |
dc.contributor.author | Espuña Camarasa, Antonio |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria de Processos Químics |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Química |
dc.date.accessioned | 2020-09-02T11:48:03Z |
dc.date.issued | 2015 |
dc.identifier.citation | Abdelaleem, A. [et al.]. Modeling and simulation of complex nonlinear dynamic processes using data based models: application to photo-Fenton process. A: European Symposium on Computer Aided Process Engineering. "12th Intenational Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. Part A. Computer Aided Chemical Engineering, 37". Elsevier, 2015, p. 191-196. ISBN 9780444634290. DOI 10.1016/B978-0-444-63578-5.50027-X. |
dc.identifier.isbn | 9780444634290 |
dc.identifier.uri | http://hdl.handle.net/2117/328297 |
dc.description.abstract | This paper investigates data based modelling of complex nonlinear processes, for which a first principle model useful for process monitoring and control is not available. These empirical models may be used as soft sensors in order to monitor a reaction’s progress, so reducing expensive offline sampling and analysis. Three different data modelling techniques are used, namely Ordinary Kriging, Artificial Neural Networks and Support Vector Regression. A simple case is first used to illustrate the problem, assess and validate the modelling approach, and compare the modelling techniques. Next, the methodology is applied to a photo–Fenton pilot plant to model and predict the reaction progress. The results show promising accuracy even when few training points are available, which results in huge savings of time and cost of the experimental work. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Elsevier |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria química |
dc.subject.other | Kriging |
dc.subject.other | Support vector machines |
dc.subject.other | Neural networks |
dc.subject.other | Chemical kinetics |
dc.title | Modeling and simulation of complex nonlinear dynamic processes using data based models: application to photo-Fenton process |
dc.type | Conference report |
dc.subject.lemac | Química cinètica |
dc.contributor.group | Universitat Politècnica de Catalunya. CEPIMA - Center for Process and Environment Engineering |
dc.identifier.doi | 10.1016/B978-0-444-63578-5.50027-X |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/B978044463578550027X?via%3Dihub |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 28852416 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Abdelaleem, A.; Audino, F.; Vicente, P.; Escudero, G.; Pérez-Moya, M.; Graells, M.; Espuña, A. |
local.citation.contributor | European Symposium on Computer Aided Process Engineering |
local.citation.publicationName | 12th Intenational Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. Part A. Computer Aided Chemical Engineering, 37 |
local.citation.startingPage | 191 |
local.citation.endingPage | 196 |