Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • 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 (2017-2019). Lund University, Sweden. (Urban Water Management)ORCID-id: 0000-0003-1547-8413
University of Queensland, Australia.
IVL Swedish Environmental Research Institute, Sweden.
University of Queensland, Australia.
Vise andre og tillknytning
2016 (engelsk)Inngår i: Water Research, ISSN 0043-1354, E-ISSN 1879-2448, Vol. 98, s. 138-146Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
Elsevier, 2016. Vol. 98, s. 138-146
Emneord [en]
Mathematical modelling, ADM1, Anaerobic digestion, LCFA inhibition, Waste characterisation, Codigestion
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-30005DOI: 10.1016/j.watres.2016.03.070Scopus ID: 2-s2.0-84962784504OAI: oai:DiVA.org:ri-30005DiVA, id: diva2:1117496
Tilgjengelig fra: 2017-06-29 Laget: 2017-06-29 Sist oppdatert: 2023-05-25bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Person

Arnell, Magnus

Søk i DiVA

Av forfatter/redaktør
Arnell, Magnus
Av organisasjonen
I samme tidsskrift
Water Research

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 113 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
v. 2.43.0