Abstract
In this paper, we study the optimization problem of maximizing biogas production at steady state in a two-stage anaerobic digestion model, which was initially proposed in Bernard et al. (Biotechnol Bioeng 75(4):424–438, 2001). Nominal operating points, consisting of steady states where the involved microorganisms coexist, are usually referred to as desired operational conditions, in particular for maximizing biogas production. Nevertheless, we prove that under some conditions related to input substrate concentrations and microorganism biology, characterized by their growth functions, the optimal steady state can be the extinction of one of the two species. We provide some numerical examples of this situation.
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Notes
Perhaps, because of this fact some authors consider the coexistence (represented by \(E^*_4(u)\)) as a desired operating point. Nevertheless, it could happen that the methane flow rate at \(E^*_2(u)\) (for some u where \(E^*_4(u)\) does not exist) could be greater than the methane flow rate evaluated in any \(E^*_4(u)\) (for u such that \(E^*_4(u)\) exists).
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Acknowledgements
This paper has benefited considerably from advice and comments by Andrés Donoso (CETAQUA, Chile) and Jérôme Harmand (INRA, France), although they should not be held responsible for any mistake. The authors are very grateful to them. We are also grateful to two anonymous reviewers for comments that greatly improved this manuscript. The first author would like to thank INRA Montpellier and the UMR MISTEA for providing a half year delegation during the academic year 2017–2018. This research benefited from the support of FONDECYT grant (Chile) N 1160567 and Proyecto Redes 150011 (Chile). The second author was also partially supported by Basal Project CMM Universidad de Chile.
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Appendix: Expressions of curves \(C_1\)–\(C_2\)–\(C_3\) for Monod and Haldane kinetics
Appendix: Expressions of curves \(C_1\)–\(C_2\)–\(C_3\) for Monod and Haldane kinetics
In the AM2 model (Bernard et al. 2001), recall that \({\tilde{\mu }}_1\) and \({\tilde{\mu }}_2\) are Monod and Haldane respectively (see Example 1). We can then explicit the expressions defining the curves \(C_2\) and \(C_3\) given by (23)–(24) as follows. A preliminary inspection allows us to find that for Monod’s kinetics, one has
For Haldane’s kinetics, \(S_2^*(u)\) is the lowest (positive) solution to the equation \({\tilde{\mu }}_2(S_2)=u\). It is easily seen that \(S_2^*(u)\) is the lowest root of a quadratic equation. This gives:
The number \(S_2^*(u)\) is well defined provided that \(u>0\) and \({\varDelta }(u)>0\). In addition, differentiating the previous expression w.r.t. u gives
For the curve \(C_2\), we can then conclude that a point \((S_{in}^1,S_{in}^2)\in C_2\) whenever:
since \({\tilde{\mu }}_2(S_2^*(u))S_2^{* '}(u)=1\). Similarly a point \((S_{in}^1,S_{in}^2)\) belongs to \(C_3\) whenever
These expressions are well defined because one has \({\tilde{\mu }}_1(S_{in}^1)<{\tilde{\mu }}_2({\tilde{S}}_2)\), and they define the curves \(C_2\) and \(C_3\) respectively.
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Bayen, T., Gajardo, P. On the steady state optimization of the biogas production in a two-stage anaerobic digestion model. J. Math. Biol. 78, 1067–1087 (2019). https://doi.org/10.1007/s00285-018-1301-3
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DOI: https://doi.org/10.1007/s00285-018-1301-3