1. Towards Anaerobic Digestion (ADM No. 1) Model's Extensions and Reductions with In-situ Gas Injection for Biomethane Production
- Author
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Juan C. Acosta-Pavas, Jérôme Morchain, Claire. Dumas, Vincent. Ngu, Arnaud. Cockx, César A. Aceves-Lara, Toulouse Biotechnology Institute (TBI), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), and Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
- Subjects
[SDV.BIO]Life Sciences [q-bio]/Biotechnology ,ADM No.1 extension ,Model reduction ,Control and Systems Engineering ,Biomethanation process ,Gas injection ,Biomethane production - Abstract
The necessity to focus and work with renewable energy for value-added product generation has gained interest in recent years, which has led to the development of mathematical models that allow a better understanding and optimization of these processes. In this work an extension of the anaerobic digestion model (ADM No. 1) with H 2 and CO external gas injection was proposed. Therefore, the modification of the volumetric mass transfer coefficient in terms of gas injection and the use of CO as a substrate of the process were proposed. Then, a model reduction was performed applying the principal process analysis (PPA) methodology with two threshold values δ=0.05 and δ=0.1. The R 2 , AIC c criterium, and Global Relative Error (%Error) were used to compare the model and reductions performance. The threshold value δ=0.05 presented the best results with an R 2 > 0.99 and AIC c criterium of-114 compared to the experimental process. For the %Error, values of 2.32%, 1.38%, and 2.18% were achieved for H 2 , CH 4 , and CO outlet gas flowrates when the reduction δ=0.05 is compared with the complete model. This reduction also allowed to decrease the simulation time from 1.94s to 0.82s. Thus, concluding that a first reduced model approximation is possible for the biomethanation process.
- Published
- 2022