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On-Line Adaptive and Nonlinear Process Monitoring of a Pilot-Scale Sequencing Batch Reactor

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Abstract

This article describes the application of on-line nonlinear monitoring of a sequencing batch reactor (SBR). Three-way batch data of SBR are unfolded batch-wisely, and then a adaptive and nonlinear multivariate monitoring method is used to capture the nonlinear characteristics of normal batches. The approach is successfully applied to an 80 L SBR for biological wastewater treatment, where the SBR poses an interesting challenge in view of process monitoring since it is characterized by nonstationary, batchwise, multistage, and nonlinear dynamics. In on-line batch monitoring, the developed adaptive and nonlinear process monitoring method can effectively capture the nonlinear relationship among process variables of a biological process in a SBR. The results of this pilot-scale SBR monitoring system using simple on-line measurements clearly demonstrated that the adaptive and nonlinear monitoring technique showed lower false alarm rate and physically meaningful, that is, robust monitoring results.

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Authors and Affiliations

  1. BIOMATH, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, B-9000, Gent, Belgium

    Chang Kyoo Yoo & Peter A. Vanrolleghem

  2. School of Environmental Science and Engineering, Department of Chemical Engineering, Pohang University of Science and Technology, Pohang, Korea

    Chang Kyoo Yoo & In-Beum Lee

Authors
  1. Chang Kyoo Yoo
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  2. In-Beum Lee
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  3. Peter A. Vanrolleghem
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Correspondence to Chang Kyoo Yoo.

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Yoo, C.K., Lee, IB. & Vanrolleghem, P.A. On-Line Adaptive and Nonlinear Process Monitoring of a Pilot-Scale Sequencing Batch Reactor. Environ Monit Assess 119, 349–366 (2006). https://doi.org/10.1007/s10661-005-9030-7

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  • DOI: https://doi.org/10.1007/s10661-005-9030-7

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