Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Assessment of a two-step partial nitritation/Anammox system with implementation of multivariate data analysis
KTH, School of Architecture and the Built Environment (ABE), Land and Water Resources Engineering.
KTH, School of Architecture and the Built Environment (ABE), Land and Water Resources Engineering.
KTH, School of Architecture and the Built Environment (ABE), Land and Water Resources Engineering.
2007 (English)In: Chemometrics and Intelligent Laboratory Systems, ISSN 0169-7439, E-ISSN 1873-3239, Vol. 86, no 1, 26-34 p.Article in journal (Refereed) Published
Abstract [en]

 Complexity of biological wastewater treatment, in which a variety of physical and (bio)chemical processes concurrently take place, demands appropriate approach in the data analysis. In this study, the data set collected during a 20 month operation of a two-step partial nitritation/Anammox system for nitrogen removal from wastewater (semi-industrial pilot plant scale) are subjected to Principal Component Analysis (PCA) and Partial Least Squares projections to latent structures (PLS) analysis. Interpretation of PCA- and PLS models enable to discern relationships between different factors for the start-up period and stable operation of the pilot plant. Variables like conductivity, pH value, dissolved oxygen concentration and nitrite-to-ammonium ratio (NAR) appear to be the key factors in the process control and monitoring. Extension of the Anammox reactor capacity demands accurate monitoring, principally by scrutinizing nitrite nitrogen concentration in the reactor. These findings suggest that the two methods complement each other in assessing the partial nitritation/Anammox system. This study demonstrated that multivariate data analysis provides the powerful implement in the field of wastewater treatment, especially in investigating novel systems.

Place, publisher, year, edition, pages
2007. Vol. 86, no 1, 26-34 p.
Keyword [en]
Anammox, deammonification, multivariate data analysis, partial nitritation, PCA, PLS
National Category
Water Engineering
Identifiers
URN: urn:nbn:se:kth:diva-9050DOI: 10.1016/j.chemolab.2006.08.004ISI: 000245574700004Scopus ID: 2-s2.0-33847307688OAI: oai:DiVA.org:kth-9050DiVA: diva2:14593
Note
QC 20100831 Uppdaterad från In press till Published (20100831)Available from: 2006-01-31 Created: 2006-01-31 Last updated: 2017-12-14Bibliographically approved
In thesis
1. Assessment of a partial nitritation/Anammox system for nitrogen removal
Open this publication in new window or tab >>Assessment of a partial nitritation/Anammox system for nitrogen removal
2006 (English)Licentiate thesis, comprehensive summary (Other scientific)
Abstract [en]

This thesis evaluates the performance of a deammonification system designed as a two-step tech-nology consisting of an initial partial nitritation followed by an Anammox process. Operation of a technical-scale pilot plant at the Himmerfjärden Wastewater Treatment Plant (Grödinge, Swe-den) has been assessed. Oxygen Uptake Rate (OUR) to evaluate the respiration activity of nitrifi-ers in the system and batch tests to assess reaction rates have also been applied in the study. It was found that the total inorganic nitrogen elimination strongly depended on the nitrite-to-ammonium ratio in the influent to the Anammox reactor, which was correlated with the per-formance of the partial nitritation phase. Therefore, a control strategy for oxidation of ammo-nium to nitrite has been proposed. Controlled oxygen supply to the partial nitritation reactor is obligatory to obtain a proper pH drop indicating oxidation of ammonia to nitrite at the adequate ratio. A very high nitrogen removal efficiency (an average of 84%) and stable operation of the system have been reached. Conductivity measurements were also used to monitor the system influent nitrogen load and the nitrogen removal in the Anammox reactor. The data gathered from the operation of the pilot plant enabled the use of multivariate data analysis to model the process behaviour and the assessment of the covariances between the process parameters. The options for full-scale implementation of the Anammox systems have been proposed as a result of the study.

Place, publisher, year, edition, pages
Stockholm: KTH, 2006. xvi, 57 p.
Series
Trita-LWR. LIC, ISSN 1650-8629 ; 2034
Keyword
Biofilm; Deammonification; Nitrogen removal; Oxygen Uptake Rate (OUR); Partial nitritation/Anammox system
National Category
Civil Engineering
Identifiers
urn:nbn:se:kth:diva-604 (URN)91-7178-167-6 (ISBN)
Presentation
2006-02-02, V1, V, Teknikringen 72, KTH campus, 13:30
Opponent
Supervisors
Note
QC 20101115Available from: 2006-01-31 Created: 2006-01-31 Last updated: 2010-11-15Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Gut, LuizaPlaza, ElzbietaHultman, Bengt
By organisation
Land and Water Resources Engineering
In the same journal
Chemometrics and Intelligent Laboratory Systems
Water Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 101 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf