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- W4360981374 abstract "Abstract A work on the analysis of five kinetic models for predicting methane yield is presented. The selected five common models for predicting methane yield include Gompertz, logistic, first-order, Richards and transfert models. Anaerobic digestion of orange and banana peels was simulated using the selected models. A comparative analysis of the models was carried out to determine the best-fit model. When predicting the methane yield of banana peels, all models reached a maximum of 99.23% and the model which was most accurate was the Gompertz model with 76% cumulative deviation and the least accurate model was the transfert model with 274.7% cumulative deviation. The prediction of methane yield on orange peels was 99.49% accurate for all models having the most accurate model being the Gompertz and first-order kinetic model with a cumulative deviation of 20.67% and the least accurate model being the transfert model with a cumulative deviation of 112%. This work presents the simulation considerations and application for each model." @default.
- W4360981374 created "2023-03-30" @default.
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- W4360981374 date "2023-03-08" @default.
- W4360981374 modified "2023-10-14" @default.
- W4360981374 title "Comparative Analysis of Five Kinetic Models for Prediction of Methane Yield" @default.
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- W4360981374 doi "https://doi.org/10.1007/s40030-023-00715-y" @default.
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