Kinetic prediction of biochemical methane potential of pig slurry

Detalhes bibliográficos
Autor(a) principal: Santos, Andreia D.
Data de Publicação: 2022
Outros Autores: Silva, João R., Castro, Luís Miguel Moura Neves de, Quinta-Ferreira, Rosa M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/100495
https://doi.org/10.1016/j.egyr.2022.01.128
Resumo: Empirical Kinetic Models have been used to describe and establish the Anaerobic Digestion kinetics of pig slurry’s (8% TS) Biochemical Chemical Potential. A wide selection of Empirical Kinetic Models were fitted to the experimental data collected in batch assays of different Substrate to Inoculum ratios, 0.65 (BMP1) and 1 (BMP2). For the selection of the most suitable model for each BMP assay, the statistical tools R2 and the RMSE, along with the Information Criterion AIC and BIC, were taken into consideration. From all the studied models, the Weibull model proved to be the most suitable for kinetic parameter prediction for both BMP1 and BMP2 assays. This model presented the lowest values of AIC and BIC, along with the highest value of R2 and the lowest RMSE. In this regard, a R2=0.998, and a RMSE=0.004, was obtained for BMP1, and a R2=0.999 and a RMSE=0.008 for BMP2.
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spelling Kinetic prediction of biochemical methane potential of pig slurryAnaerobic digestionBiomethane potential testKinetic evaluationKinetic studyNumerical computationPig slurryEmpirical Kinetic Models have been used to describe and establish the Anaerobic Digestion kinetics of pig slurry’s (8% TS) Biochemical Chemical Potential. A wide selection of Empirical Kinetic Models were fitted to the experimental data collected in batch assays of different Substrate to Inoculum ratios, 0.65 (BMP1) and 1 (BMP2). For the selection of the most suitable model for each BMP assay, the statistical tools R2 and the RMSE, along with the Information Criterion AIC and BIC, were taken into consideration. From all the studied models, the Weibull model proved to be the most suitable for kinetic parameter prediction for both BMP1 and BMP2 assays. This model presented the lowest values of AIC and BIC, along with the highest value of R2 and the lowest RMSE. In this regard, a R2=0.998, and a RMSE=0.004, was obtained for BMP1, and a R2=0.999 and a RMSE=0.008 for BMP2.2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/100495http://hdl.handle.net/10316/100495https://doi.org/10.1016/j.egyr.2022.01.128eng23524847Santos, Andreia D.Silva, João R.Castro, Luís Miguel Moura Neves deQuinta-Ferreira, Rosa M.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-06-24T20:31:14Zoai:estudogeral.uc.pt:10316/100495Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:17:52.314851Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Kinetic prediction of biochemical methane potential of pig slurry
title Kinetic prediction of biochemical methane potential of pig slurry
spellingShingle Kinetic prediction of biochemical methane potential of pig slurry
Santos, Andreia D.
Anaerobic digestion
Biomethane potential test
Kinetic evaluation
Kinetic study
Numerical computation
Pig slurry
title_short Kinetic prediction of biochemical methane potential of pig slurry
title_full Kinetic prediction of biochemical methane potential of pig slurry
title_fullStr Kinetic prediction of biochemical methane potential of pig slurry
title_full_unstemmed Kinetic prediction of biochemical methane potential of pig slurry
title_sort Kinetic prediction of biochemical methane potential of pig slurry
author Santos, Andreia D.
author_facet Santos, Andreia D.
Silva, João R.
Castro, Luís Miguel Moura Neves de
Quinta-Ferreira, Rosa M.
author_role author
author2 Silva, João R.
Castro, Luís Miguel Moura Neves de
Quinta-Ferreira, Rosa M.
author2_role author
author
author
dc.contributor.author.fl_str_mv Santos, Andreia D.
Silva, João R.
Castro, Luís Miguel Moura Neves de
Quinta-Ferreira, Rosa M.
dc.subject.por.fl_str_mv Anaerobic digestion
Biomethane potential test
Kinetic evaluation
Kinetic study
Numerical computation
Pig slurry
topic Anaerobic digestion
Biomethane potential test
Kinetic evaluation
Kinetic study
Numerical computation
Pig slurry
description Empirical Kinetic Models have been used to describe and establish the Anaerobic Digestion kinetics of pig slurry’s (8% TS) Biochemical Chemical Potential. A wide selection of Empirical Kinetic Models were fitted to the experimental data collected in batch assays of different Substrate to Inoculum ratios, 0.65 (BMP1) and 1 (BMP2). For the selection of the most suitable model for each BMP assay, the statistical tools R2 and the RMSE, along with the Information Criterion AIC and BIC, were taken into consideration. From all the studied models, the Weibull model proved to be the most suitable for kinetic parameter prediction for both BMP1 and BMP2 assays. This model presented the lowest values of AIC and BIC, along with the highest value of R2 and the lowest RMSE. In this regard, a R2=0.998, and a RMSE=0.004, was obtained for BMP1, and a R2=0.999 and a RMSE=0.008 for BMP2.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/100495
http://hdl.handle.net/10316/100495
https://doi.org/10.1016/j.egyr.2022.01.128
url http://hdl.handle.net/10316/100495
https://doi.org/10.1016/j.egyr.2022.01.128
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 23524847
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eu_rights_str_mv openAccess
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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