Analysis of biogas production from sewage sludge combining BMP experimental assays and the ADM1 model

Author:

Rocha Mariana Erthal12,Lazarino Thais Carvalho1,Oliveira Gabriel1,Teixeira Lia2,Marques Marcia2,Mangiavacchi Norberto1

Affiliation:

1. Department of Mechanical Engineering, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil

2. Department of Sanitary and Environmental Engineering, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil

Abstract

The Anaerobic Digestion Model No. 1 (ADM1) was employed to simulate methane (CH4) production in an anaerobic reactor (AR), and the associated bench-scale biochemical methane potential (BMP) assay, having sewage sludge (SWS) from a municipal wastewater treatment plant (WWTP) as feedstock. The SWS presented the following physical-chemical characteristics: pH (7.4–7.6), alkalinity (2,382 ± 100 mg CaCO3 L−1), tCOD (21,903 ± 1,000 mg L−1), TOC (895 ± 100 mg L−1), TS, TVS, and VSS (2.0%, 1.1%, and 0.8%, respectively). The BMP assay was conducted in six replicates under anaerobic mesophilic conditions (37 ± 0.1°C) for 11 days with a CH4 yield registered of 137.6 ± 6.39 NmL CH4 or 124 ± 6.72 CH4 g−1 VS−1. When the results obtained with the BMP bench-scale reactors were compared to the output generated with computational data by the ADM1 model having as input data the same initial sewage tCOD, similar cumulative CH4 production curves were obtained, indicating the accuracy of the ADM1 model. This approach allowed the characterization of the sludge and estimation of its biogas production potential. The combination of BMP assays, experimental data, and ADM1 model simulations provided a framework for studying anaerobic digestion (AD) processes.

Funder

The Department of Innovation of the Rio de Janeiro State University

The State Company of Water and Wastewater

The Carlos Chagas Filho Foundation for Supporting Research in the State of Rio de Janeiro

The National Council for Scientific and Technological Development

Brazilian Innovation Agency

Publisher

PeerJ

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