Utilize este identificador para referenciar este registo: https://hdl.handle.net/10216/144755
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Campo DCValorIdioma
dc.creatorPardilhó S.
dc.creatorPires, JCM
dc.creatorRui Boaventura
dc.creatorManuel Fonseca Almeida
dc.creatorJoana Dias
dc.date.accessioned2023-09-26T23:08:38Z-
dc.date.available2023-09-26T23:08:38Z-
dc.date.issued2022
dc.identifier.issn0960-8524
dc.identifier.othersigarra:585613
dc.identifier.urihttps://hdl.handle.net/10216/144755-
dc.description.abstractModelling the conversion of residual biomass to renewable fuels is of high relevance to promote the development of effective technological solutions. The present study compares the performance of five different kinetic models (pseudo-first-order kinetics, logistics, modified Gompertz, double-Gompertz, and multi-Gompertz) to describe the cumulative methane production during a low-solids anaerobic digestion of marine macroalgae waste. Different substrate concentrations were evaluated (0.9, 1.7 and 2.5% TS) with the best methane yield (105.2 mL CH4.g VS1) being obtained at the highest amount of biomass. All models fitted the experimental data with R2 > 0.988. The innovative multi-Gompertz model herein proposed led to the best performance indexes for all tested experimental conditions, allowing to predict methane yields more accurately when the digestion occurs in two or more steps, as it was the case with marine macroalgae waste.
dc.language.isoeng
dc.relationinfo:eu-repo/grantAgreement/FCT - Fundação para a Ciência e a Tecnologia/Programa de Financiamento Plurianual de Unidades de I&D/UID/EQU/00511/2019 /Projeto Estratégico do LEPABE - Laboratório de Engenharia de Processos, Ambiente, Biotecnologia e Energia/LEPABE
dc.relationinfo:eu-repo/grantAgreement/FCT - Fundação para a Ciência e a Tecnologia/Programa de Financiamento Plurianual de Unidades de I&D/LA/P/0045/2020/ALiCE - Laboratório Associado em Engenharia Química/ALiCE
dc.rightsrestrictedAccess
dc.titleBiogas production from residual marine macroalgae biomass: Kinetic modelling approach
dc.typeArtigo em Revista Científica Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1016/j.biortech.2022.127473
dc.identifier.authenticusP-00W-SSG
Aparece nas coleções:FEUP - Artigo em Revista Científica Internacional

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