Soft sensor for substrate characterization through the reverse application of the ADM1 model for anaerobic digestion plant operations.
Water Sci Technol
; 90(3): 721-730, 2024 Aug.
Article
em En
| MEDLINE
| ID: mdl-39141031
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.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Reatores Biológicos
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article