Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/100495
DC Field | Value | Language |
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dc.contributor.author | Santos, Andreia D. | - |
dc.contributor.author | Silva, João R. | - |
dc.contributor.author | Castro, Luís Miguel Moura Neves de | - |
dc.contributor.author | Quinta-Ferreira, Rosa M. | - |
dc.date.accessioned | 2022-06-24T11:27:27Z | - |
dc.date.available | 2022-06-24T11:27:27Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 23524847 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/100495 | - |
dc.description.abstract | 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. | pt |
dc.language.iso | eng | pt |
dc.relation | INTERREG V-A Espanha-Portugal (POCTEP) | pt |
dc.rights | openAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt |
dc.subject | Anaerobic digestion | pt |
dc.subject | Biomethane potential test | pt |
dc.subject | Kinetic evaluation | pt |
dc.subject | Kinetic study | pt |
dc.subject | Numerical computation | pt |
dc.subject | Pig slurry | pt |
dc.title | Kinetic prediction of biochemical methane potential of pig slurry | pt |
dc.type | article | - |
degois.publication.firstPage | 159 | pt |
degois.publication.lastPage | 165 | pt |
degois.publication.title | Energy Reports | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.1016/j.egyr.2022.01.128 | pt |
degois.publication.volume | 8 | pt |
dc.date.embargo | 2022-01-01 | * |
uc.date.periodoEmbargo | 0 | pt |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.fulltext | Com Texto completo | - |
item.languageiso639-1 | en | - |
crisitem.author.researchunit | CIEPQPF – Chemical Process Engineering and Forest Products Research Centre | - |
crisitem.author.researchunit | CIEPQPF – Chemical Process Engineering and Forest Products Research Centre | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.orcid | 0000-0003-2623-1694 | - |
crisitem.author.orcid | 0000-0001-9086-7676 | - |
crisitem.author.orcid | 0000-0002-0762-2641 | - |
Appears in Collections: | I&D CIEPQPF - Artigos em Revistas Internacionais |
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1-s2.0-S2352484722001275-main.pdf | 594.73 kB | Adobe PDF | View/Open |
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