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ADM1 based mathematical model of trace element complexation in anaerobic digestion processes

Bikash Chandra Maharaj 1, 2, 3 Maria Rosaria Mattei 2 Luigi Frunzo 4 Eric Hullebusch 5, 3, 6 Giovanni Esposito 7
1 Univ Cassino & Southern Lazio, Dept Civil & Mech Engn, Cassino, Italy
2 Univ Naples Federico II, Dept Math & Applicat Renato Caccioppoli, Naples, Italy
3 IHE Delft Inst Water Educ, Dept Environm Engn & Water Technol, Delft, Netherlands
4 Department of Mathematics and Applications Renato Caccioppoli
5 LGE - Laboratoire Géomatériaux et Environnement
6 IPGP - Institut de Physique du Globe de Paris
7 Univ Naples Federico II, Dept Civil Architectural & Environm Engn, Naples, Italy
Abstract : In this study, a new model based on anaerobic digestion model no. 1 (ADM1) approach has been proposed to simulate trace elements (TEs) complexation, precipitation and their effect on the anaerobic batch methane production. TEs complexation reactions with VFAs and EDTA have been incorporated in an extended ADM1 model which considers TE precipitation/dissolution reactions as well as biodegradation processes. The kinetic model tracks the dynamics of 90 state variables which constitute the components of the proposed anaerobic digestion (AD) model. The incorporation of the complexation reactions required the definition of new inorganic components (EDTA species) and new complexation process rates in the ADM1 framework. The charge balance was modified accordingly to consider the effects of the additional components. The new model is able to predict: a) the effect of TE-EDTA/VFA complexation on methane production, and b) the effect of the initial calcium and magnesium concentrations on process performance
Keywords : Anaerobic digestion Trace elements Complexation Mathematical modeling ADM1
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Submitted on : Monday, July 13, 2020 - 12:03:06 PM
Last modification on : Friday, June 4, 2021 - 3:24:18 AM

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Bikash Chandra Maharaj, Maria Rosaria Mattei, Luigi Frunzo, Eric Hullebusch, Giovanni Esposito. ADM1 based mathematical model of trace element complexation in anaerobic digestion processes. Bioresource Technology, Elsevier, 2019, 276, pp.253-259. ⟨10.1016/j.biortech.2018.12.064⟩. ⟨insu-02898036⟩

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