7th International Conference on Performance Evaluation Methodologies and Tools

Research Article

Analysis of a sewage treatment facility using hybrid Petri nets

  • @INPROCEEDINGS{10.4108/icst.valuetools.2013.254384,
        author={Hamed Ghasemieh and Anne Remke and Boudewijn Haverkort},
        title={Analysis of a sewage treatment facility using hybrid Petri nets},
        proceedings={7th International Conference on Performance Evaluation Methodologies and Tools},
        publisher={ICST},
        proceedings_a={VALUETOOLS},
        year={2014},
        month={1},
        keywords={stochastic hybrid petri-nets model checking water treatment facilities},
        doi={10.4108/icst.valuetools.2013.254384}
    }
    
  • Hamed Ghasemieh
    Anne Remke
    Boudewijn Haverkort
    Year: 2014
    Analysis of a sewage treatment facility using hybrid Petri nets
    VALUETOOLS
    ACM
    DOI: 10.4108/icst.valuetools.2013.254384
Hamed Ghasemieh1,*, Anne Remke1, Boudewijn Haverkort1
  • 1: University of Twente
*Contact email: h.ghasemieh@utwente.nl

Abstract

Waste water treatment facilities clean sewage water from households and industry in several cleaning steps. Such facilities are dimensioned to accommodate a maximum intake. However, in the case of very bad weather conditions or failures of system components the system might not suffice to accommodate all waste water. This paper models a real waste water treatment facility, situated in the city of Enschede, The Netherlands, as Hybrid Petri net with a single general one-shot transition (HPnGs) and analyses under which circumstances the existing infrastructure will overflow. This required extending the HPnG formalism with \emph{guard arcs} and \emph{dynamic continuous transitions} to model dependencies both on continuous places and on the rate of continuous transitions. Using recent algorithms for model checking STL properties on HPnGs, the paper computes survivability measures that can be expressed using the path-based until operator. After computing measures for a wide range of parameters, we provide recommendations as to where the system can be improved to reduce the probability of overflow.