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Effects of influent fractionation, kinetics, stoichiometry and mass transfer on CH4, H-2 and CO2 production for (plant-wide) modeling of anaerobic digesters

Solon, Kimberly LU ; Flores-Alsina, Xavier ; Gernaey, Krist LU and Jeppsson, Ulf LU (2015) In Water Science and Technology 71(6). p.870-877
Abstract
This paper examines the importance of influent fractionation, kinetic, stoichiometric and mass transfer parameter uncertainties when modeling biogas production in wastewater treatment plants. The anaerobic digestion model no. 1 implemented in the plant-wide context provided by the benchmark simulation model no. 2 is used to quantify the generation of CH4, H-2 and CO2. A comprehensive global sensitivity analysis based on (i) standardized regression coefficients (SRC) and (ii) Morris' screening's (MS's) elementary effects reveals the set of parameters that influence the biogas production uncertainty the most. This analysis is repeated for (i) different temperature regimes and (ii) different solids retention times (SRTs) in the anaerobic... (More)
This paper examines the importance of influent fractionation, kinetic, stoichiometric and mass transfer parameter uncertainties when modeling biogas production in wastewater treatment plants. The anaerobic digestion model no. 1 implemented in the plant-wide context provided by the benchmark simulation model no. 2 is used to quantify the generation of CH4, H-2 and CO2. A comprehensive global sensitivity analysis based on (i) standardized regression coefficients (SRC) and (ii) Morris' screening's (MS's) elementary effects reveals the set of parameters that influence the biogas production uncertainty the most. This analysis is repeated for (i) different temperature regimes and (ii) different solids retention times (SRTs) in the anaerobic digester. Results show that both SRC and MS are good measures of sensitivity unless the anaerobic digester is operating at low SRT and mesophilic conditions. In the latter situation, and due to the intrinsic nonlinearities of the system, SRC fails in decomposing the variance of the model predictions (R-2 < 0.7) making MS a more reliable method. At high SRT, influent fractionations are the most influential parameters for predictions of CH4 and CO2 emissions. Nevertheless, when the anaerobic digester volume is decreased (for the same load), the role of acetate degraders gains more importance under mesophilic conditions, while lipids and fatty acid metabolism is more influential under thermophilic conditions. The paper ends with a critical discussion of the results and their implications during model calibration and validation exercises. (Less)
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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
ADM1, BSM2, Morris' screening, standardized regression coefficients
in
Water Science and Technology
volume
71
issue
6
pages
870 - 877
publisher
IWA Publishing
external identifiers
  • wos:000352978200010
  • scopus:84928996741
  • pmid:25812096
ISSN
0273-1223
DOI
10.2166/wst.2015.029
language
English
LU publication?
yes
id
ce78cc5c-cfdf-488d-974f-4b7d6a7aacea (old id 5402787)
date added to LUP
2016-04-01 13:29:30
date last changed
2022-01-27 19:30:53
@article{ce78cc5c-cfdf-488d-974f-4b7d6a7aacea,
  abstract     = {{This paper examines the importance of influent fractionation, kinetic, stoichiometric and mass transfer parameter uncertainties when modeling biogas production in wastewater treatment plants. The anaerobic digestion model no. 1 implemented in the plant-wide context provided by the benchmark simulation model no. 2 is used to quantify the generation of CH4, H-2 and CO2. A comprehensive global sensitivity analysis based on (i) standardized regression coefficients (SRC) and (ii) Morris' screening's (MS's) elementary effects reveals the set of parameters that influence the biogas production uncertainty the most. This analysis is repeated for (i) different temperature regimes and (ii) different solids retention times (SRTs) in the anaerobic digester. Results show that both SRC and MS are good measures of sensitivity unless the anaerobic digester is operating at low SRT and mesophilic conditions. In the latter situation, and due to the intrinsic nonlinearities of the system, SRC fails in decomposing the variance of the model predictions (R-2 &lt; 0.7) making MS a more reliable method. At high SRT, influent fractionations are the most influential parameters for predictions of CH4 and CO2 emissions. Nevertheless, when the anaerobic digester volume is decreased (for the same load), the role of acetate degraders gains more importance under mesophilic conditions, while lipids and fatty acid metabolism is more influential under thermophilic conditions. The paper ends with a critical discussion of the results and their implications during model calibration and validation exercises.}},
  author       = {{Solon, Kimberly and Flores-Alsina, Xavier and Gernaey, Krist and Jeppsson, Ulf}},
  issn         = {{0273-1223}},
  keywords     = {{ADM1; BSM2; Morris' screening; standardized regression coefficients}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{870--877}},
  publisher    = {{IWA Publishing}},
  series       = {{Water Science and Technology}},
  title        = {{Effects of influent fractionation, kinetics, stoichiometry and mass transfer on CH4, H-2 and CO2 production for (plant-wide) modeling of anaerobic digesters}},
  url          = {{http://dx.doi.org/10.2166/wst.2015.029}},
  doi          = {{10.2166/wst.2015.029}},
  volume       = {{71}},
  year         = {{2015}},
}