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https://hdl.handle.net/10316/100495
Title: | Kinetic prediction of biochemical methane potential of pig slurry | Authors: | Santos, Andreia D. Silva, João R. Castro, Luís Miguel Moura Neves de Quinta-Ferreira, Rosa M. |
Keywords: | Anaerobic digestion; Biomethane potential test; Kinetic evaluation; Kinetic study; Numerical computation; Pig slurry | Issue Date: | 2022 | Project: | INTERREG V-A Espanha-Portugal (POCTEP) | metadata.degois.publication.title: | Energy Reports | metadata.degois.publication.volume: | 8 | 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. | URI: | https://hdl.handle.net/10316/100495 | ISSN: | 23524847 | DOI: | 10.1016/j.egyr.2022.01.128 | Rights: | openAccess |
Appears in Collections: | I&D CERES - Artigos em Revistas Internacionais |
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