Johannes van Randenborgh M.Sc.
Email: johannes.vanrandenborgh@tu-dortmund.de
Tel: +49 231 755-5700
Room: Maschinenbaugebäude 2, Raum 310

Research interests
- Geothermal energy storage systems
- Model predictive control
Teaching activities
Grundlagen der modellprädiktiven Regelung (Übung)
Linear Matrix Inequalities for Systems and Control (Exercises)
Further information
05 | 2022 – today: Research Assistant at the Control and Cyberphysical Systems Group, Department of Mechanical Engineering, TU Dortmund University
10 | 2018 – 03 | 2022 Studies at the Mechanical Engineering Department of TU Darmstadt University (M. Sc.), Master Thesis on “Robust Modeling of Dynamic Fluid Networks”
09 | 2020 – 03 | 2022 Studies at the Mechanical Engineering Department of École Polytechniqe Fédérale de Lausanne (M. Sc.) – in Exchange
10 | 2018 – 09 | 2019 Gap Year with Internships at inter alia Rhein-Getriebe GmbH and TDW
10 | 2015 – 09 | 2018 Studies at the Mechanical Engineering Department of TU Darmstadt University (B. Sc.)
J. van Randenborgh and M. Schulze Darup, MPC for aquifer thermal energy storage systems using ARX models, 2025 16th IEEE/IAS International Conference on Industry Applications (INDUSCON), 2025. DOI: https://doi.org/10.1109/INDUSCON66435.2025.11241405, Preprint: https://arxiv.org/abs/2509.10154
J. van Randenborgh, S. Daniel, and M. Schulze Darup, A lightweight numerical model for predictive control of borehole thermal energy storage, IFAC-PapersOnline, vol. 59(30), 2025. DOI: https://doi.org/10.1016/j.ifacol.2025.12.321, Preprint: https://arxiv.org/abs/2507.20974
J. van Randenborgh and M. Schulze Darup, A moving horizon estimator for aquifer thermal energy storages, 2025 European Control Conference (ECC), 2025. DOI: https://doi.org/10.23919/ECC65951.2025.11186974, Preprint: https://arxiv.org/abs/2504.10203
J. van Randenborgh and M. Schulze Darup, MPC using mixed-integer programming for aquifer thermal energy storages, IFAC-PapersOnLine, vol. 58(18), 2024. DOI: doi.org/10.1016/j.ifacol.2024.09.004, Preprint: https://arxiv.org/abs/2404.09786
J. van Randenborgh and M. Schulze Darup, Optimization-based state estimation for hybrid ATES systems, Talk at FUSED 2024 “From Underground to Surface: Energy provision and Distribution”, Bochum, 2024




