Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning. (22nd February 2023)

• Record Type: Journal Article
• Authors: Putra, Lingga Aksara; Huber, Bernhard; Gaderer, Matthias
• Other Names: Kienle Achim Academic Editor.
• Is Part Of: International journal of chemical engineering. Volume 2023(2023)
• Publication Date: 2023-02-22
• Subjects: Chemical engineering -- Periodicals; Chemical engineering; Electronic journals; Periodicals; 660
• DOI: 10.1155/2023/2871769
• Languages: English
• ISSNs: 1687-806X

Abstract

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 on-line. 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. As a result of this project, it was possible to determine whether the acetic acid concentration in a biogas substrate is higher or lower than 2 g/l using machine learning models.