Determination of MBR fouling and chemical cleaning interval using statistical methods applied on dynamic index data

M. J. Kim, B. Sankararao, C. K. Yoo

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)

Abstract

Membrane fouling is a serious problem in membrane bioreactor (MBR) processes which limits the widespread application of MBRs. Therefore, importance of prediction of MBR fouling and determination of membrane chemical cleaning interval has been increased in recent years. In this study, procedures for (1) prediction of MBR fouling using dynamic index data obtained by recursive least squares (RLS) method and (2) determination of membrane chemical cleaning interval using statistical quality control (SQC) methods applied on the dynamic index data are proposed. Traditional techniques to determine the membrane chemical cleaning interval cannot capture the dynamics of membrane filtration and fouling as there are developed based on steady-state assumption of MBRs. The newly proposed methods based on the recursive least-squares (RLS) and SQC are expected to overcome the limitations posed by traditional techniques, since these techniques can capture the dynamics of MBR filtration. Proposed methods have been tested with the data obtained from pilot-scale MBR plant. In this study, intercept (b) and coefficient (κ) of the traditional fouling model are updated using RLS method with respect to the MBR operational time, and are proposed as new indexes for determining membrane chemical-cleaning interval.

Original languageEnglish
Pages (from-to)345-353
Number of pages9
JournalJournal of Membrane Science
Volume375
Issue number1-2
DOIs
Publication statusPublished - 15 Jun 2011

Bibliographical note

Funding Information:
Financial supports from Korea Science and Engineering Foundation (KOSEF) (Grant No. KRF-2009-0076129 ) [funded by the Korea government (MEST)] and the Seoul R&BD Program (CS070160) are gratefully acknowledged.

Keywords

  • MBR fouling
  • Membrane bioreactor (MBR)
  • Membrane chemical cleaning interval
  • Statistical quality control (SQC)
  • Variable transformation

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