Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production
In this work, a methodology for the model-based identifiable parameter determination (MBIPD) is presented. This systematic approach is proposed to be used for structure and parameter identification of nonlinear models of biological reaction networks. Usually, this kind of problems are over-parameter...
- Autores:
-
Villegas Quiceno, Adriana patricia
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2023
- Institución:
- Universidad Cooperativa de Colombia
- Repositorio:
- Repositorio UCC
- Idioma:
- OAI Identifier:
- oai:repository.ucc.edu.co:20.500.12494/50060
- Acceso en línea:
- https://doi.org/10.1002/btpr.1753
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881611828&doi=10.1002%2fbtpr.1753&partnerID=40&md5=ab2e130c83c53679261911f94e3133fb
https://hdl.handle.net/20.500.12494/50060
- Palabra clave:
- ALCOHOL
ALGORITHM
ALGORITHMS
ARTICLE
BIOETHANOL
BIO-ETHANOL
BIO-ETHANOLS
BIOLOGICAL MODEL
BIOTECHNOLOGY
ETHANOL
FERMENTATION
IDENTIFIABILITY ANALYSIS
ILL POSED PROBLEM
ILL-POSED PROBLEM
INVERSE PROBLEMS
ITERATIVE METHODS
METABOLISM
MODELS, BIOLOGICAL
NONLINEAR DYNAMICS
NON-LINEAR LEAST SQUARES
NONLINEAR LEAST SQUARES PARAMETER ESTIMATION
NONLINEAR SYSTEM
PARAMETER ESTIMATION
PARAMETER SUBSET SELECTION
PARAMETER SUBSETS
SSF PROCESS
SUGARCANE BAGASSE
SUGAR-CANE BAGASSE
- Rights
- openAccess
- License
- http://purl.org/coar/access_right/c_abf2
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Villegas Quiceno, Adriana patricia2023-05-24T16:25:48Z2023-05-24T16:25:48Z06/06/2013https://doi.org/10.1002/btpr.1753https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881611828&doi=10.1002%2fbtpr.1753&partnerID=40&md5=ab2e130c83c53679261911f94e3133fb87567938https://hdl.handle.net/20.500.12494/50060,,,Villegas Quiceno Adriana patricia.Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production.BIOTECHNOL PROGR. 2013. 29. (4):p. 1064-1082In this work, a methodology for the model-based identifiable parameter determination (MBIPD) is presented. This systematic approach is proposed to be used for structure and parameter identification of nonlinear models of biological reaction networks. Usually, this kind of problems are over-parameterized with large correlations between parameters. Hence, the related inverse problems for parameter determination and analysis are mathematically ill-posed and numerically difficult to solve. The proposed MBIPD methodology comprises several tasks: (i) model selection, (ii) tracking of an adequate initial guess, and (iii) an iterative parameter estimation step which includes an identifiable parameter subset selection (SsS) algorithm and accuracy analysis of the estimated parameters. The SsS algorithm is based on the analysis of the sensitivity matrix by rank revealing factorization methods. Using this, a reduction of the parameter search space to a reasonable subset, which can be reliably and efficiently estimated from available measurements, is achieved. The simultaneous saccharification and fermentation (SSF) process for bio-ethanol production from cellulosic material is used as case study for testing the methodology. The successful application of MBIPD to the SSF process demonstrates a relatively large reduction in the identified parameter space. It is shown by a cross-validation that using the identified parameters (even though the reduction of the search space), the model is still able to predict the experimental data properly. Moreover, it is shown that the model is easily and efficiently adapted to new process conditions by solving reduced and well conditioned problems. © 2013 American Institute of Chemical Engineers.adriana.villegas@ucc.edu.co1064-1082Wiley-BlackwellALCOHOLALGORITHMALGORITHMSARTICLEBIOETHANOLBIO-ETHANOLBIO-ETHANOLSBIOLOGICAL MODELBIOTECHNOLOGYETHANOLFERMENTATIONIDENTIFIABILITY ANALYSISILL POSED PROBLEMILL-POSED PROBLEMINVERSE PROBLEMSITERATIVE METHODSMETABOLISMMODELS, BIOLOGICALNONLINEAR DYNAMICSNON-LINEAR LEAST SQUARESNONLINEAR LEAST SQUARES PARAMETER ESTIMATIONNONLINEAR SYSTEMPARAMETER ESTIMATIONPARAMETER SUBSET SELECTIONPARAMETER SUBSETSSSF PROCESSSUGARCANE BAGASSESUGAR-CANE BAGASSEModel-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol productionArtículohttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionBIOTECHNOL PROGRinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Publication20.500.12494/50060oai:repository.ucc.edu.co:20.500.12494/500602024-08-20 16:22:28.943metadata.onlyhttps://repository.ucc.edu.coRepositorio Institucional Universidad Cooperativa de Colombiabdigital@metabiblioteca.com |
dc.title.spa.fl_str_mv |
Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production |
title |
Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production |
spellingShingle |
Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production ALCOHOL ALGORITHM ALGORITHMS ARTICLE BIOETHANOL BIO-ETHANOL BIO-ETHANOLS BIOLOGICAL MODEL BIOTECHNOLOGY ETHANOL FERMENTATION IDENTIFIABILITY ANALYSIS ILL POSED PROBLEM ILL-POSED PROBLEM INVERSE PROBLEMS ITERATIVE METHODS METABOLISM MODELS, BIOLOGICAL NONLINEAR DYNAMICS NON-LINEAR LEAST SQUARES NONLINEAR LEAST SQUARES PARAMETER ESTIMATION NONLINEAR SYSTEM PARAMETER ESTIMATION PARAMETER SUBSET SELECTION PARAMETER SUBSETS SSF PROCESS SUGARCANE BAGASSE SUGAR-CANE BAGASSE |
title_short |
Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production |
title_full |
Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production |
title_fullStr |
Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production |
title_full_unstemmed |
Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production |
title_sort |
Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production |
dc.creator.fl_str_mv |
Villegas Quiceno, Adriana patricia |
dc.contributor.author.none.fl_str_mv |
Villegas Quiceno, Adriana patricia |
dc.subject.spa.fl_str_mv |
ALCOHOL ALGORITHM ALGORITHMS ARTICLE BIOETHANOL BIO-ETHANOL BIO-ETHANOLS BIOLOGICAL MODEL BIOTECHNOLOGY ETHANOL FERMENTATION IDENTIFIABILITY ANALYSIS ILL POSED PROBLEM ILL-POSED PROBLEM INVERSE PROBLEMS ITERATIVE METHODS METABOLISM MODELS, BIOLOGICAL NONLINEAR DYNAMICS NON-LINEAR LEAST SQUARES NONLINEAR LEAST SQUARES PARAMETER ESTIMATION NONLINEAR SYSTEM PARAMETER ESTIMATION PARAMETER SUBSET SELECTION PARAMETER SUBSETS SSF PROCESS SUGARCANE BAGASSE SUGAR-CANE BAGASSE |
topic |
ALCOHOL ALGORITHM ALGORITHMS ARTICLE BIOETHANOL BIO-ETHANOL BIO-ETHANOLS BIOLOGICAL MODEL BIOTECHNOLOGY ETHANOL FERMENTATION IDENTIFIABILITY ANALYSIS ILL POSED PROBLEM ILL-POSED PROBLEM INVERSE PROBLEMS ITERATIVE METHODS METABOLISM MODELS, BIOLOGICAL NONLINEAR DYNAMICS NON-LINEAR LEAST SQUARES NONLINEAR LEAST SQUARES PARAMETER ESTIMATION NONLINEAR SYSTEM PARAMETER ESTIMATION PARAMETER SUBSET SELECTION PARAMETER SUBSETS SSF PROCESS SUGARCANE BAGASSE SUGAR-CANE BAGASSE |
description |
In this work, a methodology for the model-based identifiable parameter determination (MBIPD) is presented. This systematic approach is proposed to be used for structure and parameter identification of nonlinear models of biological reaction networks. Usually, this kind of problems are over-parameterized with large correlations between parameters. Hence, the related inverse problems for parameter determination and analysis are mathematically ill-posed and numerically difficult to solve. The proposed MBIPD methodology comprises several tasks: (i) model selection, (ii) tracking of an adequate initial guess, and (iii) an iterative parameter estimation step which includes an identifiable parameter subset selection (SsS) algorithm and accuracy analysis of the estimated parameters. The SsS algorithm is based on the analysis of the sensitivity matrix by rank revealing factorization methods. Using this, a reduction of the parameter search space to a reasonable subset, which can be reliably and efficiently estimated from available measurements, is achieved. The simultaneous saccharification and fermentation (SSF) process for bio-ethanol production from cellulosic material is used as case study for testing the methodology. The successful application of MBIPD to the SSF process demonstrates a relatively large reduction in the identified parameter space. It is shown by a cross-validation that using the identified parameters (even though the reduction of the search space), the model is still able to predict the experimental data properly. Moreover, it is shown that the model is easily and efficiently adapted to new process conditions by solving reduced and well conditioned problems. © 2013 American Institute of Chemical Engineers. |
publishDate |
2023 |
dc.date.issued.none.fl_str_mv |
06/06/2013 |
dc.date.accessioned.none.fl_str_mv |
2023-05-24T16:25:48Z |
dc.date.available.none.fl_str_mv |
2023-05-24T16:25:48Z |
dc.type.none.fl_str_mv |
Artículo |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.coarversion.none.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.redcol.none.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://doi.org/10.1002/btpr.1753 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881611828&doi=10.1002%2fbtpr.1753&partnerID=40&md5=ab2e130c83c53679261911f94e3133fb |
dc.identifier.issn.spa.fl_str_mv |
87567938 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12494/50060 |
dc.identifier.bibliographicCitation.spa.fl_str_mv |
,,,Villegas Quiceno Adriana patricia.Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production.BIOTECHNOL PROGR. 2013. 29. (4):p. 1064-1082 |
url |
https://doi.org/10.1002/btpr.1753 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881611828&doi=10.1002%2fbtpr.1753&partnerID=40&md5=ab2e130c83c53679261911f94e3133fb https://hdl.handle.net/20.500.12494/50060 |
identifier_str_mv |
87567938 ,,,Villegas Quiceno Adriana patricia.Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production.BIOTECHNOL PROGR. 2013. 29. (4):p. 1064-1082 |
dc.relation.ispartofjournal.spa.fl_str_mv |
BIOTECHNOL PROGR |
dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.coar.none.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.format.extent.spa.fl_str_mv |
1064-1082 |
dc.publisher.spa.fl_str_mv |
Wiley-Blackwell |
institution |
Universidad Cooperativa de Colombia |
repository.name.fl_str_mv |
Repositorio Institucional Universidad Cooperativa de Colombia |
repository.mail.fl_str_mv |
bdigital@metabiblioteca.com |
_version_ |
1814247255004151808 |