Conferences

2024

  • J. Stelzer, J. Beranek, A. Ardone, W. Fichtner: Optimizing Energy-to-Power Ratios for Emerging Grid-Scale Storage Technologies Considering System Imbalance Costs, Transformation paths to a green economy: Challenges and OR applications, 23.-24.10.2024, Hagen, Germany
  • K. Esser, J. Finke, V. Bertsch: Multi-Objective Inverse (MOIn) Optimisation of Design Requirements for Low Technology Readiness Level Technologies, Transformation paths to a green economy: Challenges and OR applications, 23.-24.10.2024, Hagen, Germany
  • J. Thomsen: Maximizing Competitiveness of Low-TRL Energy Storage: A Case Study on Carnot Batteries, Transformation paths to a green economy: Challenges and OR applications, 23.-24.10.2024, Hagen, Germany
  • A. Welp, B. Atakan: Fluid-Screening für ternäre Gemische in Wärmepumpen zur Rechenzeitreduktion, Poster at Thermodynamik Kolloquium 2024 in Stuttgart, 25.-27.09.2024, honoured with poster award
  • A. Welp, I. Adaköy, B. Atakan: Ternary mixtures in Carnot Batteries: The use of machine learning surrogates for piston compressor modelling along charging, 4th International Workshop on Carnot Batteries, Stuttgart, 24.-25.09.2024
  • M. Heselmann, T. Monden, A. Brümmer: One-dimensional investigation of the periodic liquid-injection in twin screw compressors, International Conference on Screw Machines, IOP Conference Series: Materials Science and Engineering, 3.-5. September 2024, Dortmund
    Link: https://iopscience.iop.org/article/10.1088/1757-899X/1322/1/012010
  • S. Folkers, S. Schuster, D. Brillert: Transfer Functions for the Inverse Design of Turbomachinery for Thermal Power Storage. Proceedings of the ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition. Volume 6: Education; Electric Power; Energy Storage; Fans and Blowers. London, United Kingdom. June 24–28, 2024. V006T09A002. ASME. 
    DOI: https://doi.org/10.1115/GT2024-123272 
  • M. Heselmann, L. Burchardt, A. Brümmer: Consideration Of Oil Interaction On The Operating Behaviour Of Twin-Screw Compressors Using Chamber Model SimulationsTwin-Screw Compressors Using Chamber Model Simulations, International Compressor Engineering Conference, 15.-18. July 2024, Purdue, honoured as 2nd Best Student Paper
    Link: https://docs.lib.purdue.edu/icec/2849
  • L. Zendel, J. Koksharov, F. Dammel, P. Stephan: Comparison of stationary and transient simulations of a latent thermal energy storage unit in a Carnot Battery, Proceedings of ECOS 2024, 30 June - 5 July 2024, Rhodes, Greece
    Link: https://www.proceedings.com/077185-0036.html
    DOI: 10.52202/077185-0036
  • H. Romberg, K. Poplawska, C. Vering, D. Müller: The Potential of Carnot-Batteries in Urban Energy Systems: Techno-economic Analysis using Mathematical Optimization, ECOS 2024, 30.06.-05.07.2024, Rhodes, Greece, honoured with 2nd poster award
  • A. Welp, I. Adaköy, B. Atakan: Piston Compressor Performance with Ternary Mixtures: Machine Learning Surrogate Models, Proceedings of ECOS 2024, 30 June - 5 July 2024, Rhodes, Greece
    Link: https://www.proceedings.com/077185-0029.html
    DOI: https://doi.org/10.52202/077185-0029 
  • V. Bertsch, L. S. Plaga, J. Finke, K. Esser: Electrical energy storage investment requirements and operating characteristics in a gradually defossilised European power system, EURO 2024, 30.06.-03.07.2024, Copenhagen, Denmark.
  • K. Esser, J. Finke, V. Bertsch: Multi-Objective Optimisation for the Inverse Analysis of Design Requirements for Low Technology Readiness Level technologies from an Energy System Perspective, EURO 2024, 30.06.-03.07.2024, Copenhagen, Denmark.
  • A. Welp, M. Reese, D. Freund, B. Atakan: Surrogate Models for Zeotropic Mixtures in Heat Exchangers using Machine Learning, 9th International Symposium on Advances in Computational Heat Transfer, 26.-30.05.2024, Istanbul, Turkiye
  • C. Naumann, H. Otto, C. Cierpka: Analyse der Strömungsfluktuationen in geschichteten thermischen Energiespeichern, Fachtagung "Experimentelle Strömungsmechanik", 07.-09.09.2023, Munich, Germany

2023

  • A. Welp, M. Reese, D. Freund, B. Atakan: Modellierung von Wärmeübertragern mittels maschinellen Lernens, 25.-27.09.2023 Thermodynamik Kolloquium, Hannover, Germany