Comparative analysis of five kinetic models for prediction of methane yield
By: Roberts, S
.
Contributor(s): Mathaka, N.
Publisher: USA Springer 2023Edition: Vol.104(2), Jun.Description: 335-342p.Subject(s): Humanities and Applied SciencesOnline resources: Click here
In:
Journal of the institution of engineers (India): Series ASummary: 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.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2023-1738 |
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.
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