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dc.contributor.authorSaccani, Giulia
dc.contributor.authorHakanen, Jussi
dc.contributor.authorSindhya, Karthi
dc.contributor.authorOjalehto, Vesa
dc.contributor.authorHartikainen, Markus
dc.contributor.authorAntonelli, Manuela
dc.contributor.authorMiettinen, Kaisa
dc.date.accessioned2019-12-09T09:08:49Z
dc.date.available2019-12-09T09:08:49Z
dc.date.issued2020
dc.identifier.citationSaccani, G., Hakanen, J., Sindhya, K., Ojalehto, V., Hartikainen, M., Antonelli, M., & Miettinen, K. (2020). Potential of interactive multiobjective optimization in supporting the design of a groundwater biodenitrification process. <i>Journal of Environmental Management</i>, <i>254</i>, Article 109770. <a href="https://doi.org/10.1016/j.jenvman.2019.109770" target="_blank">https://doi.org/10.1016/j.jenvman.2019.109770</a>
dc.identifier.otherCONVID_33505197
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/66671
dc.description.abstractThe design of water treatment plants requires simultaneous analysis of technical, economic and environmental aspects, identified by multiple conflicting objectives. We demonstrated the advantages of an interactive multiobjective optimization (MOO) method over a posteriori methods in an unexplored field, namely the design of a biological treatment plant for drinking water production, that tackles the process drawbacks, contrarily to what happens in a traditional volumetric-load-driven design procedure. Specifically, we consider a groundwater denitrification biofilter, simulated by the Activated Sludge Model modified with two-stage denitrification kinetics. Three objectives were defined (nitrate removal efficiency, drawbacks on produced water, investment and management costs) and the interactive method NIMBUS applied to identify the best-suited design without any a priori evaluation, as for volumetric-load-driven design procedures. When compared to an evolutionary MOO algorithm, the interactive solution process was faster, more understandable and user-friendly and supported the decision maker well in identifying the most preferred solution (main design/operating parameters) to be implemented. Approach strength has been proved through both sensitivity analysis and positive experimental validation through a pilot scale biofilter operated for three months. In synthesis, without any “a priori” evaluation based on practical experience, the MOO design approach allowed obtaining a preferred Pareto optimal design, characterized by volumetric loading in the range 0.85–2.54 kgN m−3 d−1 (EBCTs: 5–15 min), a carbon dosage of 0.5–0.8 gC,dos/gC,stoich, with SRTs in the range 4–27 d.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesJournal of Environmental Management
dc.rightsCC BY-NC-ND 4.0
dc.subject.otherwater treatment
dc.subject.otherinteractive method
dc.subject.otherNIMBUS method
dc.subject.otherIND-NIMBUS
dc.subject.otherdecision support
dc.subject.otherpareto optimality
dc.titlePotential of interactive multiobjective optimization in supporting the design of a groundwater biodenitrification process
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201912095143
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn0301-4797
dc.relation.volume254
dc.type.versionacceptedVersion
dc.rights.copyright© 2019 Elsevier Ltd.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber311877
dc.subject.ysopareto-tehokkuus
dc.subject.ysopäätöksentukijärjestelmät
dc.subject.ysomonitavoiteoptimointi
dc.subject.ysovedenkäsittely
dc.subject.ysovedenpuhdistus
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p28039
jyx.subject.urihttp://www.yso.fi/onto/yso/p27803
jyx.subject.urihttp://www.yso.fi/onto/yso/p32016
jyx.subject.urihttp://www.yso.fi/onto/yso/p10858
jyx.subject.urihttp://www.yso.fi/onto/yso/p15306
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1016/j.jenvman.2019.109770
dc.relation.funderSuomen Akatemiafi
dc.relation.funderResearch Council of Finlanden
jyx.fundingprogramProfilointi, SAfi
jyx.fundingprogramResearch profiles, AoFen
dc.type.okmA1


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