Topics (12) View all

Skills (24)

Research experience

    • Jan 2013
      Research: Politechnika Śląska
      Politechnika Śląska
      Gliwice · Poland
    • Jan 1999–
      Dec 2013
      Research: Ghent University
      Ghent University
      Gent · Belgium
    • Jan 1995
      Research: Technische Universiteit Delft
      Technische Universiteit Delft · Department of Biotechnology
      Delft · Netherlands
  • Jun 2012–
    Feb 2013
    Research: Otto Monsted Guest Professor
    Technical University of Denmark · Department of Environmental Engineering · Urban Water Technology
    Denmark · Copenhagen
    Learning and contributing to research on modelling and control of the integrated urban wastewater system
  • Feb 2006–
    present
    Research: Canada Research Chair in Water Quality Modelling
    Université Laval · Département de génie civil et de génie des eaux · modelEAU
    Canada · Quebec
  • Feb 2006–
    present
    Teaching: Professor - Water Engineering
    Université Laval · Département de génie civil et de génie des eaux · modelEAU
    Canada · Quebec
  • Oct 1997–
    Jan 2006
    Teaching: Professor in Bioprocess modelling
    Ghent University · Department of Mathematical Modelling, Statistics and Bioinformatics · BIOMATH
    Belgium · Gent
  • Oct 1997–
    Jan 2006
    Research: Professor in Bioprocess modelling and optimization
    Ghent University · Department of Mathematical Modelling, Statistics and Bioinformatics · BIOMATH
    Belgium · Gent

Education

  • Mar 1990–
    Feb 1994
    Ghent University
    Bioengineering - Environmental Technology · PhD
    Belgium · Gent
  • Oct 1982–
    Jul 1987
    Ghent University
    Bioengineering - Industrial Microbiology · MSc
    Belgium · Gent

Awards & achievements

  • Sep 2010
    Award: IWA Fellow
  • Feb 2006
    Grant: Canada Research Chair in Water Quality Modelling

Other

Questions and Answers (2) View all

Publications (490) View all

  • Source
    Conference Proceeding: Towards the automation of water quality monitoring networks
    J.B. Copp, E. Belia, C. Hubner, M. Thron, P. Vanrolleghem, L. Rieger
    [show abstract] [hide abstract]
    ABSTRACT: The implementations of water quality monitoring networks have a number of inherent engineering challenges and the automation of the data collection and analysis only adds to that complexity. This paper has been written to discuss the challenges and solutions that have been developed within the framework of an industrial/academic partnership. Water quality monitoring stations are important tools in the area of environmental water science; however, traditional monitoring station installations and their maintenance tend to require more effort than desirable. Common sensors are not easily integrated into fieldbus systems and the lack of storable meta data (status, calibration information, location,...) available from sensor devices in this field, requires additional effort on the part of the owner if a fully utilizable database of meaningful values is to be constructed. An approach is proposed to automate this effort by providing an electronic catalog of predefined devices that can be input by the user during setup or read from the sensor in real-time. Automated data evaluation, alarm triggering and real-time data `correction' are all being developed with an aim to create fully documented long-term databases of usable and meaningful water quality data. And finally, to initiate improvements in the area of monitoring automation, some thoughts on the future of advanced fieldbus systems are presented.
    Automation Science and Engineering (CASE), 2010 IEEE Conference on; 09/2010
  • Conference Proceeding: Uncertainty analysis of control strategies and plant design scenarios with the Benchmark Simulation Model no. 2.
    L Benedetti, B De Baets, I Nopens, P Vanrolleghem
    SIDISA08, Simposio Internazionale di Ingegneria Sanitaria Ambientale, Firenze, Italy, 24-27 June 2008; 01/2008
  • Source
    Article: BSM2 Plant-Wide Model construction and comparative analysis with other methodologies for integrated modelling.
    P Grau, P Vanrolleghem, E Ayesa
    [show abstract] [hide abstract]
    ABSTRACT: In this paper, a new methodology for integrated modelling of the WWTP has been used for the construction of the Benchmark Simulation Model N degrees 2 (BSM2). The transformations-approach proposed in this methodology does not require the development of specific transformers to interface unit process models and allows the construction of tailored models for a particular WWTP guaranteeing the mass and charge continuity for the whole model. The BSM2 PWM constructed as case study, is evaluated by means of simulations under different scenarios and its validity in reproducing water and sludge lines in WWTP is demonstrated. Furthermore the advantages that this methodology presents compared to other approaches for integrated modelling are verified in terms of flexibility and coherence.
    Water Science & Technology 02/2007; 56(8):57-65. · 1.12 Impact Factor
  • Article: Reduction of the impact of pesticides in surface water compartments: Evaluation using dynamic models.
    V. Gevaert, K. Holvoet, A. Van Griensven, L. Benedetti, P. Vanrolleghem
    Proceedings of the 5th IWA Specialised conference on Assessment and Control of Micropollutants/Hazardous Substances in Water (MICROPOL&ECOHAZARD2007). 01/2007;
  • Article: Immission-based probabilistic evaluation of WWTP upgrades
    L. Benedetti, P. VANROLLEGHEM
    Proceedings 7th International Symposium on Systems Analysis and Integrated Assessment in Water Management (WATERMATEX2007), Washington DC, USA, 7-9 May 2007. 01/2007;

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