Application of Anaerobic Digestion Model No. 1 for simulating anaerobic mesophilic sludge digestion. (January 2015)

• Record Type: Journal Article
• Authors: Mendes, Carlos; Esquerre, Karla; Matos Queiroz, Luciano
• Is Part Of: Waste management. Volume 35(2015)
• Page Start: 89
• Page End: 95
• Publication Date: 2015-01
• Subjects: Anaerobic Digestion Model No. 1 -- Simulation -- Sewage sludge -- Hydraulic retention time; Hazardous wastes -- Periodicals; Refuse and refuse disposal -- Periodicals; 363.728
• DOI: 10.1016/j.wasman.2014.10.013
• Languages: English
• ISSNs: 0956-053X

Abstract

Highlights: The behavior of a anaerobic reactor was evaluated through modeling. Parametric sensitivity analysis was used to select most sensitive of the ADM1. The results indicate that the ADM1 was able to predict the experimental results. Organic load rate above of 35 kg/m 3 day affects the performance of the process. Abstract: Improving anaerobic digestion of sewage sludge by monitoring common indicators such as volatile fatty acids (VFAs), gas composition and pH is a suitable solution for better sludge management. Modeling is an important tool to assess and to predict process performance. The present study focuses on the application of the Anaerobic Digestion Model No. 1 (ADM1) to simulate the dynamic behavior of a reactor fed with sewage sludge under mesophilic conditions. Parametric sensitivity analysis is used to select the most sensitive ADM1 parameters for estimation using a numerical procedure while other parameters are applied without any modification to the original values presented in the ADM1 report. The results indicate that the ADM1 model after parameter estimation was able to predict the experimental results of effluent acetate, propionate, composites and biogas flows and pH with reasonable accuracy. The simulation of the effect of organic shock loading clearly showed that an organic shock loading rate above of 35 kg/m 3 day affects the performance of the reactor. The results demonstrate that simulations can be helpful to support decisions on predicting the anaerobic digestion process of sewage sludge.