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Benchmarking strategies to control GHG production and emissions: Chapter 9
DTU Technical University of Denmark, Denmark.
RISE Research Institutes of Sweden, Built Environment, Infrastructure and concrete technology. Lund University, Sweden.ORCID iD: 0000-0003-1547-8413
ICRA Catalan Institute for Water Research, Spain.
University of Exeter, UK.
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2022 (English)In: Quantification and Modelling of Fugitive Greenhouse Gas Emissions from Urban Water Systems: A report from the IWA Task Group on GHG, IWA Publishing , 2022, p. 213-228Chapter in book (Other academic)
Abstract [en]

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. 

Place, publisher, year, edition, pages
IWA Publishing , 2022. p. 213-228
Keywords [en]
Carbon footprint, Control strategies, GHG, Modelling, Multi-criteria evaluation, Plant-wide, Sustainability
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:ri:diva-62392DOI: 10.2166/9781789060461_213Scopus ID: 2-s2.0-85145012580ISBN: 9781789060461 (print)ISBN: 9781789060454 (print)OAI: oai:DiVA.org:ri-62392DiVA, id: diva2:1730275
Available from: 2023-01-24 Created: 2023-01-24 Last updated: 2023-05-25Bibliographically approved

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CiteExportLink to record
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