Fault detection in a benchmark simulation model for wastewater treatment plants

Pedram Ramin, Xavier Flores-Alsina, Sebastian Olivier Nymann Topalian, Ulf Jeppsson, Krist Gernaey

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

The International Water Association (IWA) Benchmark Simulation Models (BSM1 and BSM2) have been successfully used in both industry and academia to test and verify control strategies in wastewater treatment plants (WWTPs). In this study, a new (plant- wide) benchmark simulation model, the BSM2-LT, is developed to evaluate monitoring algorithms. This platform provides opportunities to generate various sensor/actuator and process faults. To make this realistically, different Markov-chain models are used to re- create the alternation of sensor/actuator states based on predefined occurrence probability. The same principle is used to describe the occurrence of toxic/inhibitory compounds. Using this platform, one can test the performance of a monitoring algorithm such as a fault detection method. To demonstrate this in an example, a multivariate method based on adaptive dynamic principal component analysis (dPCA) was used to detect faulty events. The performance of the monitoring algorithm is evaluated with a penalization index, scoring from 0 to 100. While the tested method had a good false alarm score, it resulted in a low false acceptance. While the results could be certainly improved, the main focus of this study is the benchmark simulation model and not presenting a well optimized monitoring algorithm. The software which will be produced and freely distributed in the near future, will allow an objective evaluation of monitoring algorithms for WWTPs for any user.

Original languageEnglish
Title of host publication14th International Symposium on Process Systems Engineering
PublisherElsevier Science Publishers B.V.
Pages1363-1368
Number of pages6
ISBN (Print)978-0-323-85159-6
DOIs
Publication statusPublished - 2022

Publication series

NameComputer Aided Chemical Engineering
ISSN (Print)1570-7946

Subject classification (UKÄ)

  • Computer and Information Science

Free keywords

  • Benchmark simulation
  • Fault detection
  • Markov chains
  • Monitoring algorithms
  • Wastewater treatment

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