Modeling and Parameter Estimation in Biofuel Discontinuous Production by Hydrogen Forming Bacteria (HFB)
- Autores
- Paulo, Cecilia Inés; Di Maggio, Jimena Andrea; Diaz, Maria Soledad; Ruggeri, Bernardo
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In this work, we study the hydrogen production through a dark fermentation process by hydrogen forming bacteria consortium. In this sense, fermentation experiments are performed in a discontinuous reactor using glucose as the carbon source. Product and substrate profiles are measured in order to study the production of bio hydrogen. A kinetic model for the batch bioreactor that describes the production of all fermentation products, the growth of biomass and the consumption of substrates is developed. The model comprises fifteen differential equations and one algebraic equation. We formulate a parameter estimation problem for the bioreactor model. Fifteen input parameters are estimated taking account the experimental data obtained in the present work. The maximum hydrogen yield obtained was 2.68 mol H2/mol glucose and the highest hydrogen production rate observed was 1.61 l H2/ l-day. Numerical results show good agreement between experimental data and simulated profiles.
Fil: Paulo, Cecilia Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Di Maggio, Jimena Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Diaz, Maria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Ruggeri, Bernardo. No especifíca; - Materia
-
Modeling
Parameter Estimation
Biofuel
Hydrogen Forming Bacteria - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/12010
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Modeling and Parameter Estimation in Biofuel Discontinuous Production by Hydrogen Forming Bacteria (HFB)Paulo, Cecilia InésDi Maggio, Jimena AndreaDiaz, Maria SoledadRuggeri, BernardoModelingParameter EstimationBiofuelHydrogen Forming Bacteriahttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2In this work, we study the hydrogen production through a dark fermentation process by hydrogen forming bacteria consortium. In this sense, fermentation experiments are performed in a discontinuous reactor using glucose as the carbon source. Product and substrate profiles are measured in order to study the production of bio hydrogen. A kinetic model for the batch bioreactor that describes the production of all fermentation products, the growth of biomass and the consumption of substrates is developed. The model comprises fifteen differential equations and one algebraic equation. We formulate a parameter estimation problem for the bioreactor model. Fifteen input parameters are estimated taking account the experimental data obtained in the present work. The maximum hydrogen yield obtained was 2.68 mol H2/mol glucose and the highest hydrogen production rate observed was 1.61 l H2/ l-day. Numerical results show good agreement between experimental data and simulated profiles.Fil: Paulo, Cecilia Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; ArgentinaFil: Di Maggio, Jimena Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; ArgentinaFil: Diaz, Maria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; ArgentinaFil: Ruggeri, Bernardo. No especifíca;Associazione Italiana Di Ingegneria Chimica2013-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/12010Paulo, Cecilia Inés; Di Maggio, Jimena Andrea; Diaz, Maria Soledad; Ruggeri, Bernardo ; Modeling and Parameter Estimation in Biofuel Discontinuous Production by Hydrogen Forming Bacteria (HFB); Associazione Italiana Di Ingegneria Chimica; Chemical Engineering Transactions; 32; 5-2013; 1033-10381974-9791enginfo:eu-repo/semantics/altIdentifier/url/http://www.aidic.it/cet/13/32/173.pdfinfo:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.3303/CET1332173info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:18:04Zoai:ri.conicet.gov.ar:11336/12010instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:18:05.116CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Modeling and Parameter Estimation in Biofuel Discontinuous Production by Hydrogen Forming Bacteria (HFB) |
title |
Modeling and Parameter Estimation in Biofuel Discontinuous Production by Hydrogen Forming Bacteria (HFB) |
spellingShingle |
Modeling and Parameter Estimation in Biofuel Discontinuous Production by Hydrogen Forming Bacteria (HFB) Paulo, Cecilia Inés Modeling Parameter Estimation Biofuel Hydrogen Forming Bacteria |
title_short |
Modeling and Parameter Estimation in Biofuel Discontinuous Production by Hydrogen Forming Bacteria (HFB) |
title_full |
Modeling and Parameter Estimation in Biofuel Discontinuous Production by Hydrogen Forming Bacteria (HFB) |
title_fullStr |
Modeling and Parameter Estimation in Biofuel Discontinuous Production by Hydrogen Forming Bacteria (HFB) |
title_full_unstemmed |
Modeling and Parameter Estimation in Biofuel Discontinuous Production by Hydrogen Forming Bacteria (HFB) |
title_sort |
Modeling and Parameter Estimation in Biofuel Discontinuous Production by Hydrogen Forming Bacteria (HFB) |
dc.creator.none.fl_str_mv |
Paulo, Cecilia Inés Di Maggio, Jimena Andrea Diaz, Maria Soledad Ruggeri, Bernardo |
author |
Paulo, Cecilia Inés |
author_facet |
Paulo, Cecilia Inés Di Maggio, Jimena Andrea Diaz, Maria Soledad Ruggeri, Bernardo |
author_role |
author |
author2 |
Di Maggio, Jimena Andrea Diaz, Maria Soledad Ruggeri, Bernardo |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Modeling Parameter Estimation Biofuel Hydrogen Forming Bacteria |
topic |
Modeling Parameter Estimation Biofuel Hydrogen Forming Bacteria |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
In this work, we study the hydrogen production through a dark fermentation process by hydrogen forming bacteria consortium. In this sense, fermentation experiments are performed in a discontinuous reactor using glucose as the carbon source. Product and substrate profiles are measured in order to study the production of bio hydrogen. A kinetic model for the batch bioreactor that describes the production of all fermentation products, the growth of biomass and the consumption of substrates is developed. The model comprises fifteen differential equations and one algebraic equation. We formulate a parameter estimation problem for the bioreactor model. Fifteen input parameters are estimated taking account the experimental data obtained in the present work. The maximum hydrogen yield obtained was 2.68 mol H2/mol glucose and the highest hydrogen production rate observed was 1.61 l H2/ l-day. Numerical results show good agreement between experimental data and simulated profiles. Fil: Paulo, Cecilia Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina Fil: Di Maggio, Jimena Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina Fil: Diaz, Maria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina Fil: Ruggeri, Bernardo. No especifíca; |
description |
In this work, we study the hydrogen production through a dark fermentation process by hydrogen forming bacteria consortium. In this sense, fermentation experiments are performed in a discontinuous reactor using glucose as the carbon source. Product and substrate profiles are measured in order to study the production of bio hydrogen. A kinetic model for the batch bioreactor that describes the production of all fermentation products, the growth of biomass and the consumption of substrates is developed. The model comprises fifteen differential equations and one algebraic equation. We formulate a parameter estimation problem for the bioreactor model. Fifteen input parameters are estimated taking account the experimental data obtained in the present work. The maximum hydrogen yield obtained was 2.68 mol H2/mol glucose and the highest hydrogen production rate observed was 1.61 l H2/ l-day. Numerical results show good agreement between experimental data and simulated profiles. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-05 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/12010 Paulo, Cecilia Inés; Di Maggio, Jimena Andrea; Diaz, Maria Soledad; Ruggeri, Bernardo ; Modeling and Parameter Estimation in Biofuel Discontinuous Production by Hydrogen Forming Bacteria (HFB); Associazione Italiana Di Ingegneria Chimica; Chemical Engineering Transactions; 32; 5-2013; 1033-1038 1974-9791 |
url |
http://hdl.handle.net/11336/12010 |
identifier_str_mv |
Paulo, Cecilia Inés; Di Maggio, Jimena Andrea; Diaz, Maria Soledad; Ruggeri, Bernardo ; Modeling and Parameter Estimation in Biofuel Discontinuous Production by Hydrogen Forming Bacteria (HFB); Associazione Italiana Di Ingegneria Chimica; Chemical Engineering Transactions; 32; 5-2013; 1033-1038 1974-9791 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.aidic.it/cet/13/32/173.pdf info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.3303/CET1332173 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Associazione Italiana Di Ingegneria Chimica |
publisher.none.fl_str_mv |
Associazione Italiana Di Ingegneria Chimica |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844614139720237056 |
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13.070432 |