Dr.-Ing. Dipl.-Wirt.Ing. Thiemo Pesch studied Electrical Engineering and Information Technology with a focus on Electrical Power Engineering at RWTH Aachen University and Chalmers University of Technology, Gothenburg, Sweden. In addition, he completed the diploma programme Management, Business and Economics at RWTH Aachen University. Afterwards, he wrote his doctoral thesis, supervised at RWTH Aachen University, on the subject of “Multiscale Modelling of Integrated Energy and Electricity Systems” at the Institute of Energy and Climate Research – Systems Analysis and Technology Evaluation (IEK-STE) at Forschungszentrum Jülich. The focus of the work was on the development of high-resolution models for the European electricity market and the German transmission grid as well as their coupling with a holistic energy system model. During this time, he already managed various third party projects. Since 2019, he has been working at the Institute for Energy and Climate Research – Energy Systems Engineering (ICE-1) of Forschungszentrum Jülich, where he is the head of the Energy Grids department since end of 2020. Since 2022, he is also head of the High Performance Computing department.

Dr.-Ing. Dipl.-Wirt.Ing. Thiemo Pesch
Head of Department
Adresse
Forschungszentrum Jülich GmbH
Wilhelm-Johnen-Straße
52428 Jülich
Institute of Climate and Energy Systems (ICE)
Energiesystemtechnik (ICE-1)
Gebäude 10.21 / Raum 4012
My Dissertation:
Pesch, T. Multiscale Modelling of Integrated Energy and Electricity Systems Jülich: Verlag des Forschungszentrums Jülich, Schriften des Forschungszentrums Jülich. RWTH Aachen University, 2019, DOI: 10.18154/RWTH-2020-00990
Recent Publications:
Zimmer, M.; Milton, M.; Cucak, D.; Pesch, T.; Ginn, H.; Benigni, A. Parameter Estimation of Power Electronic Converter by Affine Physics-Informed Gaussian Processes IEEE Transactions on Power Electronics, DOI: 10.1109/TPEL.2026.3653861
Glücker, P.; Germscheid, S.; Ojeda-Paredes, A.; Benigni, A.; Dahmen, M.; Pesch, T. Unlocking reactive power potential of industrial processes for voltage support through scheduling optimization Computers & Chemical Engineering, DOI: 10.1016/j.compchemeng.2026.109591
Zimmer, M.; Buechel, M.; Redder, F.; Mork, M.; Pesch, T.; Xhonneux, A.; Müller, D.; Benigni, A. Digital Twins for Building Pseudo-Measurements IEEE Transactions on Instrumentation and Measurement, DOI: 10.1109/TIM.2025.3527590
Lu, Y.; Sulimro, A.; Pesch, T.; Benigni, A. Fast and Scalable Dynamic Gas Network Modeling and Simulation Framework With Gas Composition Tracking IEEE Access, DOI: 10.1109/ACCESS.2025.3579340
Glücker, P.; Mhanna, S.; Pesch, T.; Benigni, A.; Mancarella, P. Quantification of electrical system flexibility by local multi-energy systems: Impact of the system design and component interdependencies Applied Energy, DOI: 10.1016/j.apenergy.2025.126342
Hartmann, C.; Zhang, J.; Gonzalez Calaza, C.; Pesch, T.; Michielsen, K.; Benigni, A Quantum Annealing Based Power Grid Partitioning for Parallel Simulation IEEE Transactions on Power Systems, DOI: 10.1109/TPWRS.2025.3578243
Dibos, S.; Pesch, T.; Benigni, A. Electrolyzer and Heat Pump Operation Utilizing Flexible Heating Network Temperatures under Power Grid Constraints 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), DOI: 10.1109/isgteurope64741.2025.11305567
Bieker, M.; Pesch, T.; Benigni, A. Large-Scale Offshore Transmission Network Expansion Planning using a Genetic Algorithm 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), DOI: 10.1109/isgteurope64741.2025.11305495
Glücker, P.; Mhanna, S.; Pesch, T.; Mancarella, P.; Benigni, A. Optimal Design of Local Multi-Energy Systems: Impact of Reactive Power Provision 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), DOI: 10.1109/isgteurope64741.2025.11305385
Dibos, S.; Pesch, T.; Benigni, A. Individual versus Grid-Connected Thermal Systems: Impact on Grid Infrastructures and Energy Supply 2024 Open Source Modelling and Simulation of Energy Systems (OSMSES), DOI: 10.1109/osmses62085.2024.10668974
Pomarico, A.; Glücker, P.; Carta, D.; Pesch, T.; Berizzi, A.; Benigni, A. Python-based API for real-time control and monitoring of RSCAD models 2024 Open Source Modelling and Simulation of Energy Systems (OSMSES), DOI: 10.1109/osmses62085.2024.10668991
Dibos, S.; Pesch, T.; Benigni, A. HeatNetSim: An open-source simulation tool for heating and cooling networks suitable for future energy systems Energy, DOI: 10.1016/j.energy.2024.133588
Glücker, P; Pesch, T., Benigni, A. Optimal sizing of battery energy storage system for local multi-energy systems: The impact of the thermal vector Applied Energy, Volume 372, 15 October 2024, 123732, DOI: 10.1016/j.apenergy.2024.12373
Zimmer, M.; Buechel, M.; Redder, F.; Mork, M.; Pesch, T.; Xhonneux, A.; Müller, D.; Benigni, A. Building Digital Twins for Thermal Pseudo-Measurements Generation 2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), DOI: 10.1109/i2mtc60896.2024.10561057
Zimmer, M.; Carta, D.; Pesch,. T.; Benigni, A. Signal Recovery in Power Systems by Correlated Gaussian Processes IEEE Open Journal of the Industrial Electronics Society, vol. 5, pp. 692-703, 2024, DOI: 10.1109/OJIES.2024.3423405
Benigni, A.; Xhonneux, A.; Carta, D.; Pesch, T.; Müller, D. On the development of control solutions for local energy communities at – Automatisierungstechnik, 2022-12-25, DOI: 10.1515/auto-2022-0034
Schäfer, B.; Pesch, T; Manik, D.; Gollenstede, J.; Lin, G.; Beck, H.-P.; Witthaut, D.; Timme, M. Understanding Braess’ Paradox in power grids Nature Communications, volume 13, Article number: 5396 (2022), DOI: 10.1038/s41467-022-32917-6
Lu, Y.; Pesch, T.; Benigni, A. Simulation of Coupled Power and Gas Systems with Hydrogen-Enriched Natural Gas Energies, 2021, 14(22), 7680; DOI: 10.3390/en14227680
Pesch, T.; Allelein, Hans-Josef; Müller, D.; Witthaut, D High-performance charging for the electrification of highway traffic: Optimal operation, infrastructure requirements and economic viability Applied Energy; Volume 280, 15 December 2020, 115706, DOI: 10.1016/j.apenergy.2020.115706
Pesch, T. ; Schröders, S. ; Allelein, H. J. ; Hake, J. F. A new Markov-chain-related statistical approach for modelling synthetic wind power time series New journal of physics 17(5), 055001 (2015), DOI: 10.1088/1367-2630/17/5/055001
Pesch, T. ; Allelein, H.-J. ; Hake, J.-F. Impacts of the transformation of the German energy system on the transmission grid European physical journal special topics 223(12), 2561-2575 (2014), DOI: 10.1140/epjst/e2014-02214-y