ADM1 based mathematical model of trace element precipitation/dissolution in anaerobic digestion processes. (November 2018)

• Record Type: Journal Article
• Authors: Maharaj, Bikash Chandra; Mattei, Maria Rosaria; Frunzo, Luigi; van Hullebusch, Eric D.; Esposito, Giovanni
• Is Part Of: Bioresource technology. Volume 267(2018)
• Page Start: 666
• Page End: 676
• Publication Date: 2018-11
• Subjects: Anaerobic digestion -- Trace elements -- Precipitation -- Mathematical modeling -- ADM1; Biomass -- Periodicals; Biomass energy -- Periodicals; Bioremediation -- Periodicals; Agricultural wastes -- Periodicals; Factory and trade waste -- Periodicals; Organic wastes -- Periodicals; Bioénergie -- Périodiques; Déchets agricoles -- Périodiques; Déchets industriels -- Périodiques; Déchets organiques -- Périodiques; Déchets (Combustible) -- Périodiques; 662.88
• DOI: 10.1016/j.biortech.2018.06.099
• Languages: English
• ISSNs: 0960-8524

Abstract

Highlights: An ADM1 based model of TE precipitation/dissolution was developed. A dose-response function for effect of TEs on microbial metabolism was implemented. The TE dynamical distribution among carbonate, sulfide and phosphate was evaluated. The effect of starvation of TEs on methane production was examined. The effect of initial sulphur and phosphorous on methane production was estimated. Abstract: Due to the complex biogeochemistry of trace elements (TEs, e.g. Fe, Ni and Co) in anaerobic digestion processes, their role and fate is poorly understood. Challenging, time consuming and low detection limits of analytical procedures necessitate recruitment of mathematical models. A dynamic mathematical model based on anaerobic digestion model no.1 (ADM1) has been proposed to simulate the effect of TEs. New chemical equilibrium association/dissociation and precipitation/dissolution reactions have been implemented to determine TE bioavailability and their effect on anaerobic digestion. The model considers interactions with inorganic carbonate (HCO3 − and CO3 2− ), phosphate (PO4 3−, HPO4 2−, H2 PO4 − ) and sulfide (HS − and S 2− ). The effect of deficiency, activation, inhibition and toxicity of TEs on the biochemical processes has been modelled based on a dose-response type inhibition function. The new model can predict: the dynamics of TEs (among carbonate, sulfide and phosphate); the starvation of TEs; and the effect of initial sulfur-phosphorus ratio in an in-silico batch anaerobic system.