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Contribution of Modeling in the Understanding of the Anaerobic Digestion: Application to the Digestion of Protein-Rich Substrates

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Frontiers in Wastewater Treatment and Modelling (FICWTM 2017)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 4))

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Abstract

This paper deals with the analysis of a Microalgae Anaerobic Digestion model (MAD model), to study the influence of the ammonia on the fermentation of such protein- rich substrate. Using the operating diagram of the model, we show the key role of the operating parameters: Dilution rate (\( {\mathbf{D}} \)) and the nitrogen input concentration (\( {\mathbf{N}}_{{{\mathbf{in}}}} \)), on the process performances. To investigate the ammonia toxicity phenomenon and its subsequent impact, we focus on the variation Free ammoniacal Nitrogen (FAN) concentration and the biogas yield with respect to the changes of \( {\mathbf{D}} \) and \( {\mathbf{N}}_{{{\mathbf{in}}}} \). Numerical simulations provide the FAN critical concentration leading to bacteria inhibition as well as the ideal values of the control parameters allowing to maximize biogas production, on the one hand, and to avoid any process failure, on the other hand. Our study highlights the effectiveness of the modeling to detect ammonia inhibition risk, that can then be used for control and optimization purposes of such anaerobic digestion process.

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Acknowledgements

Authors thank the Hubert Curien Tassili project 15MDU949 and the Euro-Mediterranean TREASURE Research Network (cf. www.inra.fr/treasure) for their financial support. Authors also thank Jean-Philippe Steyer, Francis Mairet and Jordan Seira for fruithful discussions about this work.

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Correspondence to Z. Khedim .

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Khedim, Z., Benyahia, B., Harmand, J. (2017). Contribution of Modeling in the Understanding of the Anaerobic Digestion: Application to the Digestion of Protein-Rich Substrates. In: Mannina, G. (eds) Frontiers in Wastewater Treatment and Modelling. FICWTM 2017. Lecture Notes in Civil Engineering , vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-58421-8_40

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  • DOI: https://doi.org/10.1007/978-3-319-58421-8_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58420-1

  • Online ISBN: 978-3-319-58421-8

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