Optimal management of substrates in anaerobic co-digestion: An ant colony algorithm approach

Sewage sludge (SWS) is inevitably produced in urban wastewater treatment plants (WWTPs). The treatment of SWS on site at small WWTPs is not economical; therefore, the SWS is typically transported to an alternative SWS treatment center. There is increased interest in the use of anaerobic digestion (A...

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Detalles Bibliográficos
Autores: Verdaguer Planas, Marta, Molinos Senante, María, Poch, Manuel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/12538
Acceso en línea:http://hdl.handle.net/10256/12538
Access Level:acceso embargado
Palabra clave:Biogàs
Biogas
Digestió anaeròbia
Anaerobic digestion
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spelling Optimal management of substrates in anaerobic co-digestion: An ant colony algorithm approachVerdaguer Planas, MartaMolinos Senante, MaríaPoch, ManuelBiogàsBiogasDigestió anaeròbiaAnaerobic digestionSewage sludge (SWS) is inevitably produced in urban wastewater treatment plants (WWTPs). The treatment of SWS on site at small WWTPs is not economical; therefore, the SWS is typically transported to an alternative SWS treatment center. There is increased interest in the use of anaerobic digestion (AnD) with co-digestion as an SWS treatment alternative. Although the availability of different co-substrates has been ignored in most of the previous studies, it is an essential issue for the optimization of AnD co-digestion. In a pioneering approach, this paper applies an Ant-Colony-Optimization (ACO) algorithm that maximizes the generation of biogas through AnD co-digestion in order to optimize the discharge of organic waste from different waste sources in real-time. An empirical application is developed based on a virtual case study that involves organic waste from urban WWTPs and agrifood activities. The results illustrate the dominate role of toxicity levels in selecting contributions to the AnD input. The methodology and case study proposed in this paper demonstrate the usefulness of the ACO approach in supporting a decision process that contributes to improving the sustainability of organic waste and SWS managementM. Verdaguer and M. Poch would like to acknowledge the funding of MINECO – Spain through the project CTQ2014-53718-RElsevierMinisterio de Economía y Competitividad (Espanya)info2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10256/12538© Waste Management, 2016, vol. 50, p. 49-54Articles publicats (D-EQATA)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.wasman.2016.01.047info:eu-repo/semantics/altIdentifier/issn/0956-053Xinfo:eu-repo/grantAgreement/MINECO//CTQ2014-53718-RTots els drets reservatsinfo:eu-repo/semantics/embargoedAccessoai:recercat.cat:10256/125382026-05-29T05:05:01Z
dc.title.none.fl_str_mv Optimal management of substrates in anaerobic co-digestion: An ant colony algorithm approach
title Optimal management of substrates in anaerobic co-digestion: An ant colony algorithm approach
spellingShingle Optimal management of substrates in anaerobic co-digestion: An ant colony algorithm approach
Verdaguer Planas, Marta
Biogàs
Biogas
Digestió anaeròbia
Anaerobic digestion
title_short Optimal management of substrates in anaerobic co-digestion: An ant colony algorithm approach
title_full Optimal management of substrates in anaerobic co-digestion: An ant colony algorithm approach
title_fullStr Optimal management of substrates in anaerobic co-digestion: An ant colony algorithm approach
title_full_unstemmed Optimal management of substrates in anaerobic co-digestion: An ant colony algorithm approach
title_sort Optimal management of substrates in anaerobic co-digestion: An ant colony algorithm approach
dc.creator.none.fl_str_mv Verdaguer Planas, Marta
Molinos Senante, María
Poch, Manuel
author Verdaguer Planas, Marta
author_facet Verdaguer Planas, Marta
Molinos Senante, María
Poch, Manuel
author_role author
author2 Molinos Senante, María
Poch, Manuel
author2_role author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (Espanya)
dc.subject.none.fl_str_mv Biogàs
Biogas
Digestió anaeròbia
Anaerobic digestion
topic Biogàs
Biogas
Digestió anaeròbia
Anaerobic digestion
description Sewage sludge (SWS) is inevitably produced in urban wastewater treatment plants (WWTPs). The treatment of SWS on site at small WWTPs is not economical; therefore, the SWS is typically transported to an alternative SWS treatment center. There is increased interest in the use of anaerobic digestion (AnD) with co-digestion as an SWS treatment alternative. Although the availability of different co-substrates has been ignored in most of the previous studies, it is an essential issue for the optimization of AnD co-digestion. In a pioneering approach, this paper applies an Ant-Colony-Optimization (ACO) algorithm that maximizes the generation of biogas through AnD co-digestion in order to optimize the discharge of organic waste from different waste sources in real-time. An empirical application is developed based on a virtual case study that involves organic waste from urban WWTPs and agrifood activities. The results illustrate the dominate role of toxicity levels in selecting contributions to the AnD input. The methodology and case study proposed in this paper demonstrate the usefulness of the ACO approach in supporting a decision process that contributes to improving the sustainability of organic waste and SWS management
publishDate 2016
dc.date.none.fl_str_mv 2016
info
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10256/12538
url http://hdl.handle.net/10256/12538
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.wasman.2016.01.047
info:eu-repo/semantics/altIdentifier/issn/0956-053X
info:eu-repo/grantAgreement/MINECO//CTQ2014-53718-R
dc.rights.none.fl_str_mv Tots els drets reservats
info:eu-repo/semantics/embargoedAccess
rights_invalid_str_mv Tots els drets reservats
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv © Waste Management, 2016, vol. 50, p. 49-54
Articles publicats (D-EQATA)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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