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Multivariate assessment of activated sludge stability in lab-scale experiments

Paper ID Volume ID Publish Year Pages File Format Full-Text
34613 45035 2013 5 PDF Available
Title
Multivariate assessment of activated sludge stability in lab-scale experiments
Abstract

•Assessment of activated sludge stability is crucial for reproducible results.•This paper proposes a novel multivariate stability assessment technique.•It is a combination of PCA and the squared prediction error statistic.•Validation shows clear discrimination between the transient and stable periods.

In wastewater research, the transfer of activated sludge from large-scale plants to lab-scale reactors induces a transient period. It is crucial to quantitatively assess the stability of activated sludge before starting any experimental procedure. Otherwise, the transient interferes with the experimental results, jeopardizing reproducibility and accuracy. This paper presents a novel multivariate technique to assess activated sludge stability based on the combination of principal component analysis (PCA) with the squared prediction error (SPE) statistic. The proposed method allows for a more accurate estimation of activated sludge stability than existing univariate methods and also eliminates the need to establish thresholds for every single variable. The procedure is validated on experimental data obtained by Van den Broeck et al. [1].

Keywords
Biological wastewater treatment; Activated sludge stability; Transient; Principal component analysis (PCA); Fault detection
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Publisher
Database: Elsevier - ScienceDirect
Journal: Process Biochemistry - Volume 48, Issue 11, November 2013, Pages 1789–1793
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
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