Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Modelling anaerobic co-digestion in Benchmark Simulation Model No. 2:parameter estimation, substrate characterisation and plant-wide integration
RISE - Research Institutes of Sweden. Lunds universitet. (Urban Water Management)ORCID iD: 0000-0003-1547-8413
Advanced Water Management Centre, The University of Queensland.
IVL Swedish Environmental Research Institute.
Advanced Water Management Centre, The University of Queensland.
Show others and affiliations
2016 (English)In: Water Research, ISSN 0043-1354, E-ISSN 1879-2448, Vol. 98, 138-146 p.Article in journal (Refereed) Published
Abstract [en]

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 identi fied 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.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 98, 138-146 p.
Keyword [en]
Mathematical modelling, ADM1, Anaerobic digestion, LCFA inhibition, Waste characterisation, Codigestion
National Category
Water Engineering
Identifiers
URN: urn:nbn:se:ri:diva-30005OAI: oai:DiVA.org:ri-30005DiVA: diva2:1117496
Available from: 2017-06-29 Created: 2017-06-29 Last updated: 2017-07-03Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Arnell, Magnus
By organisation
RISE - Research Institutes of Sweden
In the same journal
Water Research
Water Engineering

Search outside of DiVA

GoogleGoogle Scholar

Total: 12 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.26.0