Benchmarking strategies to control GHG production and emissions
(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.
(Less)
- author
- 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
- organization
- publishing date
- 2022-04
- 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
- 2024-07-27 03:48:13
@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}}, }