Department of Chemical Engineering, Universitat de València, Avinguda de la Universitat s/n, 46100 Burjassot, València, Spain. Electronic address:
Published: December 2021
AI Article Synopsis
Article 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 NH 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.
Clinical symptoms of infection (CDI) range from diarrhea to pseudomembranous colitis. A major challenge in managing CDI is the high rate of relapse. Several studies correlate the production of CDT binary toxin by clinical strains of with higher relapse rates.
High-solid anaerobic digestion (HSAD) can be used to treat organic waste. However, the operating stability is limited by the hydraulic conditions; therefore, regulation is essential. The flow field contains a large amount of information that cannot be directly regulated.
An open-source modeling platform, called Anaerobic Digestion Model No. 1 Fast (ADM1F), is introduced to achieve fast and numerically stable simulations of anaerobic digestion processes. ADM1F is compatible with an iPython interface to facilitate model configuration, simulation, data analysis, and visualization.
This study aimed at developing a sustainable waste management from poultry farm by integrating microalgae cultivation with the anaerobic digestion effluent of chicken wastes (ADEC). The analysis was focused on system performance, resource recovery and environmental impact of microalgal biomass-derived added value products. Laboratory-scale of three different systems, i.
A life cycle inventory (LCI) dataset for food waste management was developed using secondary data from scientific literature and government reports. EPA reports on food waste management were used as the basis for collecting literature to review. Unit process parameters from the reviewed literature are compiled and combined with engineering calculations to generate LCI for food management pathways.
