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Optimizing ADM1 Calibration and Input Characterization for Effective Co-Digestion Modelling

Dipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
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Academic Editor: Antonio Panico
Water 2021, 13(21), 3100; https://doi.org/10.3390/w13213100
Received: 7 October 2021 / Revised: 28 October 2021 / Accepted: 30 October 2021 / Published: 4 November 2021
(This article belongs to the Special Issue Recent Advances in Anaerobic Digestion in Wastewater Treatment Plants)
Anaerobic co-digestion in wastewater treatment plants is looking increasingly like a straightforward solution to many issues arising from the operation of mono-digestion. Process modelling is relevant to predict plant behavior and its sensitivity to operational parameters, and to assess the feasibility of simultaneously feeding a digester with different organic wastes. Still, much work has to be completed to turn anaerobic digestion modelling into a reliable and practical tool. Indeed, the complex biochemical processes described in the ADM1 model require the identification of several parameters and many analytical determinations for substrate characterization. A combined protocol including batch Biochemical Methane Potential tests and analytical determinations is proposed and applied for substrate influent characterization to simulate a pilot-scale anaerobic digester where co-digestion of waste sludge and expired yogurt was operated. An iterative procedure was also developed to improve the fit of batch tests for kinetic parameter identification. The results are encouraging: the iterative procedure significantly reduced the Theil’s Inequality Coefficient (TIC), used to evaluate the goodness of fit of the model for alkalinity, total volatile fatty acids, pH, COD, volatile solids, and ammoniacal nitrogen. Improvements in the TIC values, compared to the first iteration, ranged between 30 and 58%. View Full-Text
Keywords: ADM1; anaerobic co-digestion; waste sludge; modelling; parameter estimation; input characterization; anaerobic activity test; BMP tests ADM1; anaerobic co-digestion; waste sludge; modelling; parameter estimation; input characterization; anaerobic activity test; BMP tests
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MDPI and ACS Style

Catenacci, A.; Grana, M.; Malpei, F.; Ficara, E. Optimizing ADM1 Calibration and Input Characterization for Effective Co-Digestion Modelling. Water 2021, 13, 3100. https://doi.org/10.3390/w13213100

AMA Style

Catenacci A, Grana M, Malpei F, Ficara E. Optimizing ADM1 Calibration and Input Characterization for Effective Co-Digestion Modelling. Water. 2021; 13(21):3100. https://doi.org/10.3390/w13213100

Chicago/Turabian Style

Catenacci, Arianna, Matteo Grana, Francesca Malpei, and Elena Ficara. 2021. "Optimizing ADM1 Calibration and Input Characterization for Effective Co-Digestion Modelling" Water 13, no. 21: 3100. https://doi.org/10.3390/w13213100

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