University of Oulu

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

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Author: Bertacchi, Stefano1; Ruusunen, Mika2; Sorsa, Aki2;
Organizations: 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
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2021102552134
Language: English
Published: Multidisciplinary Digital Publishing Institute, 2021
Publish Date: 2021-10-25
Description:

Abstract

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.

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Series: Fermentation
ISSN: 2311-5637
ISSN-E: 2311-5637
ISSN-L: 2311-5637
Volume: 7
Issue: 4
Article number: 237
DOI: 10.3390/fermentation7040237
OADOI: https://oadoi.org/10.3390/fermentation7040237
Type of Publication: A1 Journal article – refereed
Field of Science: 220 Industrial biotechnology
Subjects:
Funding: 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.
Copyright information: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
  https://creativecommons.org/licenses/by/4.0/