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Ozonation of pharmaceutical residues in a wastewater treatment plant: Modeling the ozone demand based on a multivariate analysis of influential parameters
Linköping University, Department of Physics, Chemistry and Biology, Biotechnology.
Linköping University, Department of Physics, Chemistry and Biology, Biotechnology.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Most pharmaceutical residues in wastewater treatment plants (WWTPs) end up in the hydrosphere where they cause negative effects on the aquatic life and might disrupt ecosystems. By implementing an ozonation step (treatment with ozone) in the wastewater treatment process, these pharmaceutical residues can be reduced.  The purpose of this project was to verify that the ozonation process works in full-scale, thereby verifying a pilot study conducted in 2014 at Tekniska Verken i Linköping AB (TVAB). Additionally, the purpose was to investigate which parameters influence the ozone demand in order to formulate a model for the ozone demand. The initial phases during this thesis were a pre-study and a literature study. This was followed by the multivariate analysis and model construction based on different data from the pilot study. Measurements were performed on the wastewater in the full-scale facility in order to verify the results from the pilot study. Moreover, measurements were performed to find new ozone consuming parameters. The reduction of pharmaceutical residues was similar to the pilot study, although slightly lower. Several parameters and factors that were different between pilot study and new measurements affected the reduction of pharmaceutical residues. For example, DOC and nitrate concentrations have increased since the pilot study in 2014. Also, factors such as the growth in population in Linköping and the differences in design between the pilot plant and the full-scale facility have influenced the reduction of pharmaceutical residues. A control strategy based on a linear relationship between ozone sensitive Ultra Violet Absorption (UVA) left and remaining pharmaceutical residues after ozonation could potentially be used. Moreover, three models were constructed and the Multivariate Analysis 1 (MVA1)-model was deemed as the best, this model includes ozone residual, nitrite, turbidity, simulated Chemical Oxygen Demand (COD(sim)) and ozone dose. The variations in the dose compared to the input parameters for the validation data show that the model predict the ozone dose well. However, in future other interesting parameters can be included in the model to further improve the accuracy in the ozone dose predicted by the model.

Abstract [sv]

Många läkemedelsrester i avloppsreningsverken hamnar i hydrosfären där de kan orsaka negativa effekter på det akvatiska livet och högre ekosystem. Genom att införa ett ozoneringssteg (behandling av ozon) på avloppsreningsverken, kan läkemedelsresterna reduceras. Syftet med det här examensarbetet var att verifiera att ozoneringsprocessen fungerade i fullskala och därmed verifiera en pilotstudie som utfördes år 2014 på Tekniska Verken i Linköping AB (TVAB). Syftet var också att undersöka vilka parametrar som påverkade ozonbehovet för att kunna konstruera en modell för ozonbehovet. De initiala faserna under examensarbetet var en förstudie och en litteraturstudie. Dessa följdes av en multivariat analys och modellkonstruktioner baserat på olika data ifrån pilotstudien. Mätningar på fullskaleanläggningen gjordes också för att hitta nya ozonkonsumerande parametrar. Reduktionen av läkemedelsrester liknande reduktionen under pilotstudien, men var dock något lägre. Flera parametrar och faktorer var värden skiljde sig mellan pilotstudien och fullskala påverkade reduktionen av läkemedelsrester. Till exempel, har DOC och nitratkoncentrationen ökat sedan pilotstudien år 2014. Faktorer så som befolkningsökningen i Linköping och de skillnader som fanns i designen hos de två anläggningarna kan också ha påverkat reduktionen av läkemedelsrester. En kontrollstrategi baserat på ett linjärt samband mellan ozonkänslig ultraviolett absorption (UVA) kvar och kvarvarande läkemedelsrester efter ozonering kan eventuellt användas. Tre modeller konstruerades där Multivariat analys 1 (MVA1)-modellen ansågs vara den bästa. Den här modellen inkluderade ozonresidual, nitrit, turbiditet, simulerad chemical oxygen demand (COD(sim)) och ozondos. Variationerna i dosen jämfört med inputparametrarna för validerade data visade att modellen predikterade ozondosen bra. I framtiden kan andra intressanta parameter inkluderas i modellen för att vidare förbättra trovärdigheten i ozondosen som predikteras av modellen. 

Place, publisher, year, edition, pages
2018. , p. 60
National Category
Environmental Biotechnology
Identifiers
URN: urn:nbn:se:liu:diva-151565ISRN: LITH-IFM-A-EX--18/3490--SEOAI: oai:DiVA.org:liu-151565DiVA, id: diva2:1250703
External cooperation
Tekniska Verken i Linköping AB
Subject / course
Biotechnology
Presentation
2018-06-01, Linköping, 14:00 (Swedish)
Supervisors
Examiners
Available from: 2018-09-25 Created: 2018-09-24 Last updated: 2018-09-25Bibliographically approved

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