Dr. Kevin-Martin Aigner

Dr. Kevin-Martin Aigner

UnivIS-Beauftragter

Department of Data Science (DDS)
Professorship of Optimization under Uncertainty & Data Analysis (Prof. Dr. Liers)

Room: Room 03.383
Cauerstraße 11
91058 Erlangen

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Projects

  • Management CRC TRR 154


    (Third Party Funds Group – Sub project)
    Overall project: TRR 154: Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken
    Term: 1. July 2022 - 30. June 2026
    Funding source: Deutsche Forschungsgemeinschaft (DFG)
    URL: https://www.trr154.fau.de/

  • Multi-sector coupled energy system modeling on a regional level


    (Third Party Funds Group – Overall project)
    Term: 1. May 2021 - 30. April 2024
    Funding source: Bundesministerium für Wirtschaft und Technologie (BMWi)
    URL: https://www.esm-regio.de
    Abstract
    Reducing primary energy use and greenhouse gases are central goals of the energy transition. However, switching from fossil to regenerative energy sources is not enough to achieve them. An overarching view and optimization of the different sectors of the energy system - electricity, gas, heat and transport - can significantly advance the further development of the energy system in Germany. Potential exists above all on a regional level.

    The goal of the ESM-Regio project - short for "Multisectoral Coupled Energy System Modeling on a regional level" - is to create a temporally high-resolution energy system model on a county level that takes into account the four sectors of electricity, gas, heat and transport as well as the required interface technologies. A key feature of the project is a cross-sector model logic. Suitable simulation methods enable a holistic analysis and optimization of the system operation under consideration of the four relevant sectors of the energy system.

  • Optimierung der Netzeingriffe


    (Third Party Funds Group – Sub project)
    Overall project: Flächenbezogene Modellierung, Simulation und Optimierung von Solar-Einspeisung, Lastfluss und Steuerung für Stromverteilnetze, unter Berücksichtigung von Einspeisungsunsicherheiten
    Term: 1. January 2018 - 31. December 2021
    Funding source: Bundesministerium für Bildung und Forschung (BMBF)
    URL: https://en.www.math.fau.de/edom/projects-edom/analytics/optimal-control-of-electrical-distribution-networks-with-uncertain-solar

Publications

Research Activities

Selected Courses

  • Master seminar “Mixed-Integer Nonlinear Optimization” (Summer Term ’25)
  • Discrete Optimization I (Winter Term ’24/’25)

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