Kinetic prediction of biochemical methane potential of pig slurry
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 ra...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-06-01
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| Series: | Energy Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722001275 |
| _version_ | 1818473658565263360 |
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| author | Andreia D. Santos João R. Silva Luis M. Castro Rosa M. Quinta-Ferreira |
| author_facet | Andreia D. Santos João R. Silva Luis M. Castro Rosa M. Quinta-Ferreira |
| author_sort | Andreia D. Santos |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-14T04:25:18Z |
| format | Article |
| id | doaj.art-8644ab2b48a14f119b58963506c6656d |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-14T04:25:18Z |
| publishDate | 2022-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-8644ab2b48a14f119b58963506c6656d2022-12-22T02:12:19ZengElsevierEnergy Reports2352-48472022-06-018159165Kinetic prediction of biochemical methane potential of pig slurryAndreia D. Santos0João R. Silva1Luis M. Castro2Rosa M. Quinta-Ferreira3CIEPQPF – Chemical Engineering Processes and Forest Products Research Center, Department of Chemical Engineering, Faculty of Sciences and Technology, University of Coimbra, Portugal; Corresponding author.Instituto Politécnico de Coimbra, Instituto Superior de Engenharia de Coimbra, Rua Pedro Nunes, Quinta da Nora, 3030-199 Coimbra, PortugalCIEPQPF – Chemical Engineering Processes and Forest Products Research Center, Department of Chemical Engineering, Faculty of Sciences and Technology, University of Coimbra, Portugal; Instituto Politécnico de Coimbra, Instituto Superior de Engenharia de Coimbra, Rua Pedro Nunes, Quinta da Nora, 3030-199 Coimbra, Portugal; Instituto Politécnico de Coimbra, Instituto de Investigação Aplicada, Laboratório SiSus, Rua Pedro Nunes, Quinta da Nora, 3030-199 Coimbra, PortugalCIEPQPF – Chemical Engineering Processes and Forest Products Research Center, Department of Chemical Engineering, Faculty of Sciences and Technology, University of Coimbra, PortugalEmpirical 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.http://www.sciencedirect.com/science/article/pii/S2352484722001275Anaerobic digestionBiomethane potential testKinetic evaluationKinetic studyNumerical computationPig slurry |
| spellingShingle | Andreia D. Santos João R. Silva Luis M. Castro Rosa M. Quinta-Ferreira Kinetic prediction of biochemical methane potential of pig slurry Energy Reports Anaerobic digestion Biomethane potential test Kinetic evaluation Kinetic study Numerical computation Pig slurry |
| title | 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_short | Kinetic prediction of biochemical methane potential of pig slurry |
| title_sort | kinetic prediction of biochemical methane potential of pig slurry |
| topic | Anaerobic digestion Biomethane potential test Kinetic evaluation Kinetic study Numerical computation Pig slurry |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722001275 |
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