Prediction of Biomethane Production of Cheese Whey by Using Artificial Neural Networks

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Prediction of Biomethane Production of Cheese Whey by Using Artificial Neural Networks

Córdoba, Verónica Elizabeth et al · Institute of Electrical and Electronics Engineers · 2023

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Autor / responsable

Córdoba, Verónica Elizabeth et al

Editorial

Institute of Electrical and Electronics Engineers

Año

2023

ISSN

1032-1039

ISSN

1032-1039

Idioma

spa

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The search for new energy sources has intensified today worldwide. In Argentina, bioenergy continues to be the energy with minor participation in the energy matrix. Therefore, research should focus on searching for new substrates that increase their production without compromising agricultural systems. This work analyzed the cumulative methane production by anaerobic digestion of cheese whey, a food industry waste, using three substrate/inoculum ratios in volatile solids units. An artificial neural network (ANN) was developed to model the process based on the characterization data (input data) and methane production obtained in the laboratory (output data). The training algorithm used for the ANN was backpropagation. This model's validity was analyzed using statistical parameters such as the regression coefficient (R2) and the mean square error (MSE). The results obtained by the ANN were compared with those obtained by conventional kinetic models, such as the First-order and Gompertz models. The experimental biomethane production was in the range 2325 to 38222 NmLCH4/g VS. The proposed network could predict the experimental data with an R2 of 0.9992 and a training MSE of 2.7598. The statistics used to compare the goodness of fit between the models (R2 and RMSE) were higher for the network, demonstrating its ability to model a complex system such as anaerobic digestion.
Fil: Córdoba, Verónica Elizabeth. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Tandil. Centro de Investigaciones En Fisica E Ingenieria del Centro de la Provincia de Buenos Aires. Sede Olavarria del Centro de Investifaciones En Fisica E Ingenieria del Centro de la Provincia de Buenos Aires | Universidad Nacional del Centro de la Pcia.de Bs.as.. Centro de Investigaciones En Fisica E Ingenieria del Centro de la Provincia de Buenos Aires. Sede Olavarria del Centro de Investifaciones En Fisica E Ingenieria del Centro de la Provincia de Buenos Aires.; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ingeniería Olavarría. Departamento de Electromecánica. Grupo INTELYMEC; Argentina
Fil: Mussi, Jorgelina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ingeniería Olavarría. Departamento de Electromecánica. Grupo INTELYMEC; Argentina

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APA 7

Córdoba, V. E. E. A. (2023). Prediction of Biomethane Production of Cheese Whey by Using Artificial Neural Networks. http://hdl.handle.net/11336/254229

MLA

Córdoba, Verónica Elizabeth et al. "Prediction of Biomethane Production of Cheese Whey by Using Artificial Neural Networks." 2023. http://hdl.handle.net/11336/254229.

Chicago

Córdoba, Verónica Elizabeth et al. 2023. "Prediction of Biomethane Production of Cheese Whey by Using Artificial Neural Networks.". http://hdl.handle.net/11336/254229.

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Córdoba, V. E. E. A. 2023, Prediction of Biomethane Production of Cheese Whey by Using Artificial Neural Networks, Institute of Electrical and Electronics Engineers, available at: http://hdl.handle.net/11336/254229 [Accessed 28 Jun. 2026].

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Título: Prediction of Biomethane Production of Cheese Whey by Using Artificial Neural Networks

Autor / colaboradores: Córdoba, Verónica Elizabeth et al

Editorial: Institute of Electrical and Electronics Engineers

Año de publicación: 2023

ISSN: 1032-1039

ISSN: 1032-1039

Idioma: spa

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Biomethane; Kinetics; Cheese whey; Modelling; Artificial neural network; https://purl.org/becyt/ford/2.8; https://purl.org/becyt/ford/2