Nicolae Suciu

  • Organisation: Department Mathematik
  • Abteilung: Lehrstuhl für Angewandte Mathematik (Modellierung und Numerik) (Prof. Dr. Knabner)
  • Telefonnummer: +49 9131 85-67215
  • Faxnummer: +49 9131 85-67225
  • E-Mail:
  • Adresse:
    Cauerstr. 11
    91058 Erlangen
    Raum 04.340

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  • Integriertes und an Raum-Zeit-Messungsskalen angepasstes Global Random Walk - Modell für reaktiven Transport im Grundwasser
    (Drittmittelfinanzierte Einzelförderung)
    Laufzeit: 01-10-2018 - 30-09-2021
    Mittelgeber: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
  • Entwicklung neuer photokatalytischer Filtersysteme zur Luftreinigung von Nanopartikeln, organischen Zusätzen und Bakterien mit Hilfe numerischer Simulationen
    (Drittmittelfinanzierte Einzelförderung)
    Laufzeit: 01-10-2009 - 30-09-2011
    Mittelgeber: Bundesministerium für Bildung und Forschung (BMBF)
    The project was a cooperation of a group of applied mathematicians with
    the Russian company Aeroservice for the development and optimization of
    new photocatalytic filter systems for air cleaning of nanoparticles and
    organic substances with the help of mathematical simulation tools. For
    the simulation of aerosol transport in the filter made of polypropylene
    fibers, which is used in hospitals or airports, e.g., mathematical
    models and efficient solution algorithms had to be developed. These
    allow on the one hand to take stochastic components into account, as the
    heterogeneous conductivity distribution in the filter. On the other
    hand these methods were coupled with highly accurate computation schemes
    as mixed finite element methods, which guarantee local mass
    conservation for the transport processes. The design parameters of real
    experiments can be optimized with the help of such simulation tools and
    their sensitivity with respect to filter efficiency analysed. Among the
    used methods are particle filtration in porous media, based on the Darcy
    equation, and coupled Eulerian and Lagrangeian simulation of transport
    processes, including Monte Carlo approaches with given filter