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  • G. Pillot, S. Sunny, V. Comes, S. Kerzenmacher:
    Optimization of growth and electrosynthesis of PolyHydroxyAlcanoates by the thermophilic bacterium Kyrpidia spormannii.
    Bioresource Technology Reports 17, 100949, (2022).

    DOI: doi.org/10.1016/j.biteb.2022.100949



  • D. Rippel, F.A. Foroushani, M. Lütjen, M. Freitag:
    A Crew Scheduling Model to Incrementally Optimize Workforce Assignments for Offshore Wind Farm Constructions.
    Energies 14(21):6963 (22 pp.), 2021.

    DOI: doi.org/10.3390/en14216963


  • S. Oelker, A. Sander, M. Kreutz, A. Ait Ala, M. Freitag:
    Evaluation of the Impact of Weather-Related Limitations on the Installation of Offshore Wind Turbine Towers.
    Energies 14(13):3778 (12 pp.), 2021.

    DOI: doi.org/10.3390/en14133778


  • J. Erben, X. Wang,S. Kerzenmacher:
    High Current Production of Shewanella Oneidensis with Electrospun Carbnon Nanofiber Anodes is Directly Linked to Biofilm Formation.
    ChemElectroChem, 8, 10 (2021), 1846-1846.

    DOI: doi.org/10.1101/2021.01.28.428465


  • J. Erben, Z. A. Pinder, M. S. Lüdtke, S. Kerzenmacher:
    Local Acidification limits the current production and biofilm formation of Shewanella oneidensis MR-1 with electrospun anodes.
    Frontiers in Microbiology, (2021).

    DOI: doi.org/10.3389/fmicb.2021.660474

  • A. Villalba-Herreros, Ó. Santiago, R. Abad, T.J. Leo:
    Carbon dioxide treatment method for autonomous underwater vehicles powered by direct methanol fuel cells: A multi-criteria decision analysis approach.
    Journal of Power Sources 512 (2021): 230322.

    DOI: doi.org/10.1016/j.jpowsour.2021.230322

  • M. Lachmann, C. Büskens:
    A Hybrid Approach for Data-Based Models Using a Least-Squares-Regression.
    OLA 2021 Int. Conf on Optimization and Learning

    DOI: doi.org/10.1007/978-3-030-

  • E. Dierkes, F. Jung, C. Büskens:
    Data-based models of drive technology for automation in automotive production.
    Proceedings in Applied Mathematics & Mechanics, 20(1), WILEY-VCH, 2021.

    DOI: doi.org/10.1002/pamm.202000286


  • D. Gleichauf, M. Sorg, A. Fischer:
    Contactless localization of premature laminar-turbulent flow transitions on wind turbine rotor blades in operation.
    Applied Sciences 10(18):6552 (21 pp.), 2020.

    DOI: doi.org/10.3390/app10186552
  • M. Pillarz, A. von Freyberg, A. Fischer:
    Gear shape parameter measurement using a model-based scanning multi-distance measurement approach.
    Sensors 20(14):3910 (16 pp.), 2020.

    DOI: doi.org/10.3390/s20143910
  • A. von Freyberg, A. Fischer:
    Geometric partitioning of complex surface measurements.
    IEEE Transactions on Instrumentation & Measurement 69(7):4835-4842, 2020.

    DOI: doi.org/10.1109/TIM.2019.2954008
  • M. Lachmann, J. Maldonado, W. Bergmann, F. Jung, M. Weber, C. Büskens.
    Self-Learning Data-Based Models as Basis of a Universally Applicable
    Energy Management System.
    Energies 2020, 13(8), 2084, 2020.

    DOI: doi.org/10.3390/en13082084
  • F. Hoffmann, M. Hanf, N. Kaminski, S. Schmitt, “Investigation on the Impact of Thermo-Mechanical Stress on the Humidity Ruggedness of IGBTs by Means of Consecutive PCT and H³TRB Testing”, Proc. 32nd Intern. Symp. on Power Semiconductor Devices and ICs (ISPSD), 2020

    DOI: 10.1109/ISPSD46842.2020.9170080
  • S. F. Contreras, C. A. Cortes, J. M. A. Myrzik.
    Probabilistic Multi-objective Microgrid Planning Methodology for Optimizing the Ancillary
    Services Provision.
    Electric Power Systems Research, 189, 106633, 2020.

    DOI: https://doi.org/10.1016/j.epsr.2020.106633
  • JI. Stoyanova, E. Gümrükcü, G. Aragon, D.I. Hidalgo-Rodríguez, A. Monti, J. Myrzik.
    Distributed model predictive control strategies for coordination of electrothermal devices in a cooperative energy management concept.
    Optimal Control Applications and Methods, 41 (1), 170-189, 2020.

    DOI: https://doi.org/10.1002/oca.2528
  • C. Schnülle, K. Kisjes, T. Stührmann, P. Thier, I. Nikolic, A. von Gleich, S. Gößling-Reisemann.
    From Niche to Market – An Agent-Based Modeling Approach for the Economic Uptake of
    Electro-Fuels (Power-to-Fuel) in the German Energy System.
    Energies, 13(20), 5522, 2020.

    DOI: https://doi.org/10.3390/en13205522
  • D. Gleichauf, C. Dollinger, N. Balaresque, A.D. Gardner, M. Sorg, A. Fischer.
    Thermographic flow visualization by means of non-negative matrix factorization.
    International Journal of Heat and Fluid Flow, 82, 108528, 2020.

    DOI: doi.org/10.1016/j.ijheatfluidflow.2019.108528
  • A. Ait Alla, S. Oelker, M. Lewandowski, M. Freitag:
    Simulation of contrary maintenance strategies for offshore wind turbines.
    Journal of Simulation 14(1), 76-82, 2020.

    DOI: doi.org/10.1080/17477778.2019.1675481 <
  • J. E. Reiner, K. Geiger, M. Hackbarth, M. Fink, C. J. Lapp, T. Jung, A. Dötsch, M. Hügler, M. Wagner, A. Hille-Reichel, W. Wilcke, S. Kerzenmacher, H. Horn, J. Gescher:
    From an extremophilic community to an electroautotrophic production strain: identifying a novel Knallgas bacterium as cathodic biofilm biocatalyst.
    The ISME Journal 14 (2020), 1125–1140.

    DOI: https://www.nature.com/articles/s41396-020-0595-5



  • C. Dollinger, N. Balaresque, N. Gaudern, D. Gleichauf, M. Sorg, A. Fischer:
    IR thermographic flow visualization for the quantification of boundary layer flow disturbances due to the leading edge condition.
    Renewable Energy 138:709-721, 2019.

    DOI: doi.org/10.1016/j.renene.2019.01.116
  • A Brunko, W. Holzke, H. Groke, B. Orlik, N. Kaminski, “Model-Based Condition Monitoring of Power Semiconductor Devices in Wind Turbines”, Proc. 21st Europ. Conf. on Power Electronics and Applications (EPE), 2019

    DOI: 10.23919/EPE.2019.8915064
  • Wendler, T., Töbelmann, D., Günther, J. "Natural resources and technology - on the mitigating effect of green tech", Bremen Papers on Economics & Innovation No. 1905, 2019

    DOI: 10.26092/elib/205
  • D. Rippel, N. Jathe, M. Lütjen, M. Freitag:
    Evaluation of Loading Bay Restrictions for the Installation of Offshore Wind Farms Using a Combination of Mixed-Integer Linear Programming and Model Predictive Control.
    Applied Sciences 9(23):5030 (30 pp.), 2019.

    DOI: doi.org/10.3390/app9235030


  • Arango Castellanos, H. Dhanasekaran Velayutha Rajan, A. Rohde, D. Denhof, M. Freitag:
    Design and simulation of a control algorithm for peak-load shaving using vehicle to grid technology.
    SN Applied Sciences 1(9): 951 (12 pp.), 2019.

    DOI: doi.org/10.1007/s42452-019-0999-x





  • A. Berger, F. Jung, M. Echim, C. Büskens, M. Schollmeyer.
    Optimal Expansion Planning for an Electric Distribution Network with the
    NLP Solver WORHP.
    88th GAMM Annual Meeting of the international Association of Applied
    Mathematics and Mechanics (GAMM).
    Proc. Appl. Math. Mech., S. 735-736, 2017.

    DOI: 10.1002/pamm.201710335


  • S. Chen, D. Wassel, C. Büskens.
    High-Precision Modeling, Simulation and Optimization of Cogeneration Plants.
    Energy Technology, Special Issue: Energy, Science & Technology
    Conference, 4: 177-186, WILEY-VCH, 2016.

    DOI: 10.1002/ente.201500244


  • C. Zorn, N. Kaminski, “Temperature–Humidity–Bias Testing on Insulated-Gate Bipolartransistor Modules – Failure Modes and Acceleration due to High Voltage”, IET Power Electronics, Vol. 8, No. 12, 2015, pp. 2329-2335

    DOI: 10.1049/iet-pel.2015.0031