Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning
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...
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | International Journal of Chemical Engineering |
| Online Access: | http://dx.doi.org/10.1155/2023/2871769 |
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| _version_ | 1832548018612600832 |
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| author | Lingga Aksara Putra Bernhard Huber Matthias Gaderer |
| author_facet | Lingga Aksara Putra Bernhard Huber Matthias Gaderer |
| author_sort | Lingga Aksara Putra |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d953c027e5c340799fa0c8987c3f3a4a |
| institution | Kabale University |
| issn | 1687-8078 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Chemical Engineering |
| spelling | doaj-art-d953c027e5c340799fa0c8987c3f3a4a2025-02-03T06:42:39ZengWileyInternational Journal of Chemical Engineering1687-80782023-01-01202310.1155/2023/2871769Estimation of Acetic Acid Concentration from Biogas Samples Using Machine LearningLingga Aksara Putra0Bernhard Huber1Matthias Gaderer2Technical University of MunichTechnical University of MunichTechnical University of MunichIn 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.http://dx.doi.org/10.1155/2023/2871769 |
| spellingShingle | Lingga Aksara Putra Bernhard Huber Matthias Gaderer Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning International Journal of Chemical Engineering |
| title | Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning |
| title_full | Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning |
| title_fullStr | Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning |
| title_full_unstemmed | Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning |
| title_short | Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning |
| title_sort | estimation of acetic acid concentration from biogas samples using machine learning |
| url | http://dx.doi.org/10.1155/2023/2871769 |
| work_keys_str_mv | AT linggaaksaraputra estimationofaceticacidconcentrationfrombiogassamplesusingmachinelearning AT bernhardhuber estimationofaceticacidconcentrationfrombiogassamplesusingmachinelearning AT matthiasgaderer estimationofaceticacidconcentrationfrombiogassamplesusingmachinelearning |