Bertacchi, S.; Ruusunen, M.; Sorsa, A.; Sirviö, A.; Branduardi, P. Mathematical Analysis and Update of ADM1 Model for Biomethane Production by Anaerobic Digestion. Fermentation 2021, 7, 237. https://doi.org/10.3390/fermentation7040237
Mathematical analysis and update of ADM1 model for biomethane production by anaerobic digestion
|Author:||Bertacchi, Stefano1; Ruusunen, Mika2; Sorsa, Aki2;|
1Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy
2Faculty of Technology, University of Oulu, Pentti Kaiteran katu 1 Linnanmaa, 90570 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 1.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2021102552134
Multidisciplinary Digital Publishing Institute,
|Publish Date:|| 2021-10-25
Biomethane is a renewable product that can directly substitute its fossil counterpart, although its synthesis from residual biomasses has some hurdles. Because of the complex nature of both biomasses and the microbial consortia involved, innovative approaches such as mathematical modeling can be deployed to support possible improvements. The goal of this study is two-fold, as we aimed to modify a part of the Anaerobic Digestion Model No. 1 (ADM1), describing biomethane production from activated sludge, matching with its actual microbial nature, and to use the model for identifying relevant parameters to improve biomethane production. Firstly, thermodynamic analysis was performed, highlighting the direct route from glucose to biomethane as the most favorable. Then, by using MATLAB® and Simulink Toolbox, we discovered that the model fails to predict the microbiological behavior of the system. The structure of the ADM1 model was then modified by adding substrate consumption yields in equations describing microbial growth, to better reflect the consortium behavior. The updated model was tested by modifying several parameters: the coefficient of decomposition was identified to increase biomethane production. Approaching mathematical models from a microbiological point of view can lead to further improvement of the models themselves. Furthermore, this work represents additional evidence of the importance of informatics tools, such as bioprocess simulations to foster biomethane role in bioeconomy.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
220 Industrial biotechnology
This research project has been supported by the European Institution of Innovation & Technology (EIT) KIC-RawMaterials project ADMA2 (practical training between Academia and Industry during doctoral studies) funding number 18252.
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