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Titel:

Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Putra, Lingga Aksara; Huber, Bernhard; Gaderer, Matthias
Abstract:
In a biogas plant, the acetic acid concentration is a major component of the substrate as it determines the pH value, and this pH value correlates with the volume of biogas produced. Since it requires specialized laboratory equipment, the concentration of acetic acid in a biogas substrate cannot be measured online. The project aims to use NIR sensors and machine learning algorithms to estimate the acetic acid concentration in a biogas substrate based on the measured intensities of the substrate....     »
Zeitschriftentitel:
International Journal of Chemical Engineering
Jahr:
2023
Band / Volume:
2023
Seitenangaben Beitrag:
1-11
Volltext / DOI:
doi:10.1155/2023/2871769
WWW:
https://www.hindawi.com/journals/ijce/2023/2871769/
Verlag / Institution:
Hindawi Limited
E-ISSN:
1687-80781687-806X
Publikationsdatum:
22.02.2023
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