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

Arnell, Magnus LU ; Astals, Sergi; Åmand, Linda; Batstone, Damien J. LU ; Jensen, Paul D. and Jeppsson, Ulf LU (2016) In Water Research 98. p.138-146
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... (More)

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.

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author
organization
publishing date
type
Contribution to journal
publication status
published
keywords
ADM1, Anaerobic digestion, Codigestion, LCFA inhibition, Mathematical modelling, Waste characterisation
in
Water Research
volume
98
pages
9 pages
publisher
Elsevier
external identifiers
  • Scopus:84962784504
ISSN
0043-1354
DOI
10.1016/j.watres.2016.03.070
language
English
LU publication?
yes
id
d4071b2e-0066-43a7-bfac-07f0d996788c
date added to LUP
2016-04-29 11:52:32
date last changed
2016-11-13 04:39:05
@misc{d4071b2e-0066-43a7-bfac-07f0d996788c,
  abstract     = {<p>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.</p>},
  author       = {Arnell, Magnus and Astals, Sergi and Åmand, Linda and Batstone, Damien J. and Jensen, Paul D. and Jeppsson, Ulf},
  issn         = {0043-1354},
  keyword      = {ADM1,Anaerobic digestion,Codigestion,LCFA inhibition,Mathematical modelling,Waste characterisation},
  language     = {eng},
  month        = {07},
  pages        = {138--146},
  publisher    = {ARRAY(0x98e5c68)},
  series       = {Water Research},
  title        = {Modelling anaerobic co-digestion in Benchmark Simulation Model No. 2 : Parameter estimation, substrate characterisation and plant-wide integration},
  url          = {http://dx.doi.org/10.1016/j.watres.2016.03.070},
  volume       = {98},
  year         = {2016},
}