Soft sensor for substrate characterization through the reverse application of the ADM1 model for anaerobic digestion plant operations.

Zorrilla, Fernando; Sadino-Riquelme, Ma Constanza; Hansen, Felipe; Donoso-Bravo, Andrés

Zorrilla, Fernando; Sadino-Riquelme, Ma Constanza; Hansen, Felipe; Donoso-Bravo, Andrés.

Afiliación

Zorrilla F; Modela SpA., Encomenderos 231, Edf A, Ofc. 701, Las Condes, Santiago De Chile; ProCycla SL, Carretera Pont de Vilomara 140, 2-1, 08241 Manresa, Spain E-mail: fzorrilla@modelacfd.cl.
Sadino-Riquelme MC; Modela SpA., Encomenderos 231, Edf A, Ofc. 701, Las Condes, Santiago De Chile; ProCycla SpA, Fundo El Junco Camino La Vega S/N, 9580000, Melipilla, Santiago, Chile.
Hansen F; Modela SpA., Encomenderos 231, Edf A, Ofc. 701, Las Condes, Santiago De Chile; ProCycla SL, Carretera Pont de Vilomara 140, 2-1, 08241 Manresa, Spain; ProCycla SpA, Fundo El Junco Camino La Vega S/N, 9580000, Melipilla, Santiago, Chile.
Donoso-Bravo A; Modela SpA., Encomenderos 231, Edf A, Ofc. 701, Las Condes, Santiago De Chile; Departamento de Ingeniería Química y Ambiental, Universidad Técnica Federico Santa María, Av. Vicuña Mackenna 3939, 8940833, San Joaquín, Santiago, Chile.

Water Sci Technol ; 90(3): 721-730, 2024 Aug.

Article en En | MEDLINE | ID: mdl-39141031

ABSTRACT

ABSTRACT

Accurately characterizing the substrate used in anaerobic digestion is crucial for predicting the biogas plant's performance. This issue makes particularly challenging the application of modeling in codigestion plants. In this work, a novel methodology called substrate prediction module (SPM) has been developed and tested, using virtual codigestion data. The SPM aims to estimate the inlet properties of the substrate based on the reverse application of the anaerobic digestion model n1 (ADM1). The results show that, while the SPM can estimate some properties of the substrate based on certain output parameters, there are limitations in accurately determining all required variables.

Asunto(s)

Reactores Biológicos; Anaerobiosis; Modelos Teóricos; Biocombustibles; Eliminación de Residuos Líquidos/métodos

Palabras clave

ADM1; biogas plants; modeling and simulation; subrogated model; substrate prediction module; virtual digester

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reactores Biológicos Idioma: En Revista: Water Sci Technol Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido

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