A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Potential of interactive multiobjective optimization in supporting the design of a groundwater biodenitrification process (2020)


Saccani, Giulia; Hakanen, Jussi; Sindhya, Karthi; Ojalehto, Vesa; Hartikainen, Markus; Antonelli, Manuela; Miettinen, Kaisa (2020). Potential of interactive multiobjective optimization in supporting the design of a groundwater biodenitrification process. Journal of Environmental Management, 254, 109770. DOI: 10.1016/j.jenvman.2019.109770


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Saccani, Giulia; Hakanen, Jussi; Sindhya, Karthi; Ojalehto, Vesa; Hartikainen, Markus; Antonelli, Manuela; Miettinen, Kaisa

Lehti tai sarja: Journal of Environmental Management

ISSN: 0301-4797

eISSN: 1095-8630

Julkaisuvuosi: 2020

Volyymi: 254

Artikkelinumero: 109770

Kustantaja: Elsevier

Julkaisumaa: Britannia

Julkaisun kieli: englanti

DOI: https://doi.org/10.1016/j.jenvman.2019.109770

Avoin saatavuus: Julkaisukanava ei ole avoin

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/66671


Tiivistelmä

The 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.


YSO-asiasanat: vedenpuhdistus; vedenkäsittely; päätöksentukijärjestelmät; monitavoiteoptimointi; pareto-tehokkuus

Vapaat asiasanat: water treatment; interactive method; NIMBUS method; IND-NIMBUS; decision support; pareto optimality


Liittyvät organisaatiot


Hankkeet, joissa julkaisu on tehty


OKM-raportointi: Kyllä

Raportointivuosi: 2020

Alustava JUFO-taso: 1


Viimeisin päivitys 2020-18-08 klo 13:48