Considering syntrophic acetate oxidation and ionic strength improves the performance of models for food waste anaerobic digestion. (December 2021)

• Record Type: Journal Article
• Authors: Capson-Tojo, Gabriel; Astals, Sergi; Robles, Ángel
• Is Part Of: Bioresource technology. Volume 341(2021)
• Publication Date: 2021-12
• Subjects: Anaerobic digestion -- ADM1 -- Syntrophic acetate oxidation -- Modelling -- Ammonia inhibition; 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.2021.125802
• Languages: English
• ISSNs: 0960-8524

Abstract

Graphical abstract: Highlights: The modified ADM1 improved the predicted methane and volatile fatty acids profiles. The modified ADM1 enhanced free ammonia estimation and inhibition modelling. The predominant metabolic pathways were adequately predicted. kL a and kdis were relevant parameters for accurate food waste digestion modelling. Model results showed that granular activated carbon enhanced hydrogen uptake. Abstract: Current mechanistic anaerobic digestion (AD) models cannot accurately represent the underlying processes occurring during food waste (FW) AD. This work presents an update of the Anaerobic Digestion Model no. 1 (ADM1) to provide accurate estimations of free ammonia concentrations and related inhibition thresholds, and model syntrophic acetate oxidation as acetate-consuming pathway. A modified Davies equation predicted NH3 concentrations and pH more accurately, and better estimated associated inhibitory limits. Sensitivity analysis results showed the importance of accurate disintegration kinetics and volumetric mass transfer coefficients, as well as volatile fatty acids (VFAs) and hydrogen uptake rates. In contrast to the default ADM1, the modified ADM1 could represent methane production and VFA profiles simultaneously (particularly relevant for propionate uptake). The modified ADM1 was also able to predict the predominant acetate-consuming and methane-producing microbial clades. Modelling results using data from reactors dosed with granular activated carbon showed that this additive improves hydrogen uptake.