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Global sensitivity analysis of a filtration model for submerged anaerobic membrane bioreactors (AnMBR)

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Global sensitivity analysis of a filtration model for submerged anaerobic membrane bioreactors (AnMBR)

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dc.contributor.author Robles Martínez, Ángel es_ES
dc.contributor.author Ruano García, María Victoria es_ES
dc.contributor.author Ribes Bertomeu, Jose es_ES
dc.contributor.author Seco Torrecillas, Aurora es_ES
dc.contributor.author FERRER, J. es_ES
dc.date.accessioned 2015-05-22T08:07:34Z
dc.date.available 2015-05-22T08:07:34Z
dc.date.issued 2014-04
dc.identifier.issn 0960-8524
dc.identifier.uri http://hdl.handle.net/10251/50681
dc.description.abstract The results of a global sensitivity analysis of a filtration model for submerged anaerobic MBRs (AnMBRs) are assessed in this paper. This study aimed to (1) identify the less- (or non-) influential factors of the model in order to facilitate model calibration and (2) validate the modelling approach (i.e. to determine the need for each of the proposed factors to be included in the model). The sensitivity analysis was conducted using a revised version of the Morris screening method. The dynamic simulations were conducted using long-term data obtained from an AnMBR plant fitted with industrial-scale hollow-fibre membranes. Of the 14 factors in the model, six were identified as influential, i.e. those calibrated using off-line protocols. A dynamic calibration (based on optimisation algorithms) of these influential factors was conducted. The resulting estimated model factors accurately predicted membrane performance. es_ES
dc.description.sponsorship This research work has been supported by the Spanish Ministry of Economy and Competitiveness (MINECO, Projects CTM2011-28595-C02-01/02) jointly with the European Regional Development Fund (ERDF) which are gratefully acknowledged. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Bioresource Technology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Submerged anaerobic membrane bioreactors es_ES
dc.subject Filtration model es_ES
dc.subject Global sensitivity analysis es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.subject.classification TECNOLOGIA DEL MEDIO AMBIENTE es_ES
dc.title Global sensitivity analysis of a filtration model for submerged anaerobic membrane bioreactors (AnMBR) es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.biortech.2014.02.087
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//CTM2011-28595-C02-02/ES/ESTUDIO EXPERIMENTAL DE LA RECUPERACION COMO BIOGAS DE LA ENERGIA DE LA MATERIA ORGANICA Y NUTRIENTES DEL AGUA RESIDUAL, ACOPLANDO UN ANBRM Y UN CULTIVO DE MICROALGAS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//CTM2011-28595-C02-01/ES/MODELACION Y CONTROL DE LA RECUPERACION COMO BIOGAS DE LA ENERGIA DE LA MATERIA ORGANICA Y NUTRIENTES DEL AGUA RESIDUAL, ACOPLANDO UN ANBRM Y UN CULTIVO DE MICROALGAS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.description.bibliographicCitation Robles Martínez, Á.; Ruano García, MV.; Ribes Bertomeu, J.; Seco Torrecillas, A.; Ferrer, J. (2014). Global sensitivity analysis of a filtration model for submerged anaerobic membrane bioreactors (AnMBR). Bioresource Technology. 158:365-376. https://doi.org/10.1016/j.biortech.2014.02.087 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.biortech.2014.02.087 es_ES
dc.description.upvformatpinicio 365 es_ES
dc.description.upvformatpfin 376 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 158 es_ES
dc.relation.senia 269354
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder European Regional Development Fund es_ES


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