Literature DB >> 27088248

Modelling anaerobic co-digestion in Benchmark Simulation Model No. 2: Parameter estimation, substrate characterisation and plant-wide integration.

Magnus Arnell1, Sergi Astals2, Linda Åmand3, Damien J Batstone4, Paul D Jensen5, Ulf Jeppsson6.   

Abstract

Anaerobic co-digestion is an emerging practice at wastewater treatment plants (WWTPs) to improve the energy balance and integrate waste management. Modelling of co-digestion in a plant-wide WWTP model is a powerful tool to assess the impact of co-substrate selection and dose strategy on digester performance and plant-wide effects. A feasible procedure to characterise and fractionate co-substrates COD for the Benchmark Simulation Model No. 2 (BSM2) was developed. This procedure is also applicable for the Anaerobic Digestion Model No. 1 (ADM1). Long chain fatty acid inhibition was included in the ADM1 model to allow for realistic modelling of lipid rich co-substrates. Sensitivity analysis revealed that, apart from the biodegradable fraction of COD, protein and lipid fractions are the most important fractions for methane production and digester stability, with at least two major failure modes identified through principal component analysis (PCA). The model and procedure were tested on bio-methane potential (BMP) tests on three substrates, each rich on carbohydrates, proteins or lipids with good predictive capability in all three cases. This model was then applied to a plant-wide simulation study which confirmed the positive effects of co-digestion on methane production and total operational cost. Simulations also revealed the importance of limiting the protein load to the anaerobic digester to avoid ammonia inhibition in the digester and overloading of the nitrogen removal processes in the water train. In contrast, the digester can treat relatively high loads of lipid rich substrates without prolonged disturbances.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ADM1; Anaerobic digestion; Codigestion; LCFA inhibition; Mathematical modelling; Waste characterisation

Mesh:

Substances:

Year:  2016        PMID: 27088248     DOI: 10.1016/j.watres.2016.03.070

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  2 in total

1.  Co-Digestion Biomethane Production and the Effect of Nanoparticle: Kinetics Modeling and Microcalorimetry Studies.

Authors:  Yi Qiu; Chong Li; Chang Liu; Kiros Hagos
Journal:  Appl Biochem Biotechnol       Date:  2020-10-06       Impact factor: 2.926

Review 2.  Resource Recovery from Wastewater by Biological Technologies: Opportunities, Challenges, and Prospects.

Authors:  Daniel Puyol; Damien J Batstone; Tim Hülsen; Sergi Astals; Miriam Peces; Jens O Krömer
Journal:  Front Microbiol       Date:  2017-01-06       Impact factor: 5.640

  2 in total

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