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Benchmarking strategies to control GHG production and emissions

Flores-Alsina, Xavier ; Arnell, Magnus LU ; Corominas, Lluís ; Sweetapple, Chris ; Fu, Guangtao ; Butler, David ; Vanrolleghem, Peter A. ; Gernaey, Krist V. LU and Jeppsson, Ulf LU (2022) p.213-228
Abstract

Benchmarking has been a useful tool for unbiased comparison of control strategies in wastewater treatment plants (WWTPs) in terms of effluent quality, operational cost and risk of suffering microbiology-related total suspended solids (TSS) separation problems. This chapter presents the status of extending the original Benchmark Simulation Model No 2 (BSM2) towards including greenhouse gas (GHG) emissions. A mathematical approach based on a set of comprehensive models that estimate all potential on-site and off-site sources of COinf2/inf, CHinf4/inf and Ninf2/infO is presented and discussed in detail. Based upon the assumptions built into the model structures, simulation results highlight the potential undesirable effects on increased... (More)

Benchmarking has been a useful tool for unbiased comparison of control strategies in wastewater treatment plants (WWTPs) in terms of effluent quality, operational cost and risk of suffering microbiology-related total suspended solids (TSS) separation problems. This chapter presents the status of extending the original Benchmark Simulation Model No 2 (BSM2) towards including greenhouse gas (GHG) emissions. A mathematical approach based on a set of comprehensive models that estimate all potential on-site and off-site sources of COinf2/inf, CHinf4/inf and Ninf2/infO is presented and discussed in detail. Based upon the assumptions built into the model structures, simulation results highlight the potential undesirable effects on increased GHG emissions when carrying out local energy optimization in the activated sludge section and/or energy recovery in the anaerobic digester. Although off-site COinf2/inf emissions may decrease in such scenarios due to either lower aeration energy requirement or higher heat and electricity production, these effects may be counterbalanced by increased Ninf2/infO emissions, especially since Ninf2/infO has a 300-fold stronger greenhouse effect than COinf2/inf. The reported results emphasize the importance of using integrated approaches when comparing and evaluating (plant-wide) control strategies in WWTPs for more informed operational decision-making.

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Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Carbon footprint, Control strategies, GHG, Modelling, Multi-criteria evaluation, Plant-wide, Sustainability
host publication
Quantification and Modelling of Fugitive Greenhouse Gas Emissions from Urban Water Systems : A report from the IWA Task Group on GHG - A report from the IWA Task Group on GHG
pages
16 pages
publisher
IWA Publishing
external identifiers
  • scopus:85145012580
ISBN
9781789060454
9781789060461
DOI
10.2166/9781789060461
language
English
LU publication?
yes
id
11f993e7-0866-4aa5-8ac2-7e16e18d2fbb
date added to LUP
2023-01-12 16:05:09
date last changed
2024-04-18 17:55:25
@inbook{11f993e7-0866-4aa5-8ac2-7e16e18d2fbb,
  abstract     = {{<p>Benchmarking has been a useful tool for unbiased comparison of control strategies in wastewater treatment plants (WWTPs) in terms of effluent quality, operational cost and risk of suffering microbiology-related total suspended solids (TSS) separation problems. This chapter presents the status of extending the original Benchmark Simulation Model No 2 (BSM2) towards including greenhouse gas (GHG) emissions. A mathematical approach based on a set of comprehensive models that estimate all potential on-site and off-site sources of COinf2/inf, CHinf4/inf and Ninf2/infO is presented and discussed in detail. Based upon the assumptions built into the model structures, simulation results highlight the potential undesirable effects on increased GHG emissions when carrying out local energy optimization in the activated sludge section and/or energy recovery in the anaerobic digester. Although off-site COinf2/inf emissions may decrease in such scenarios due to either lower aeration energy requirement or higher heat and electricity production, these effects may be counterbalanced by increased Ninf2/infO emissions, especially since Ninf2/infO has a 300-fold stronger greenhouse effect than COinf2/inf. The reported results emphasize the importance of using integrated approaches when comparing and evaluating (plant-wide) control strategies in WWTPs for more informed operational decision-making.</p>}},
  author       = {{Flores-Alsina, Xavier and Arnell, Magnus and Corominas, Lluís and Sweetapple, Chris and Fu, Guangtao and Butler, David and Vanrolleghem, Peter A. and Gernaey, Krist V. and Jeppsson, Ulf}},
  booktitle    = {{Quantification and Modelling of Fugitive Greenhouse Gas Emissions from Urban Water Systems : A report from the IWA Task Group on GHG}},
  isbn         = {{9781789060454}},
  keywords     = {{Carbon footprint; Control strategies; GHG; Modelling; Multi-criteria evaluation; Plant-wide; Sustainability}},
  language     = {{eng}},
  pages        = {{213--228}},
  publisher    = {{IWA Publishing}},
  title        = {{Benchmarking strategies to control GHG production and emissions}},
  url          = {{http://dx.doi.org/10.2166/9781789060461}},
  doi          = {{10.2166/9781789060461}},
  year         = {{2022}},
}