Matthias Finkenrath

Matthias Finkenrath is a Professor at the Faculty of Mechanical Engineering, Kempten University of Applied Sciences. He serves as Dean of Studies and leads the Process Simulation Laboratory. His work focuses on energy systems, thermodynamics, and machine learning applications in thermal load forecasting.

• Head of Energy Technology Working Group (VDI, Augsburg)
• Member of EU Commission ETIP-SNET Working Group 3
• Formulas collection author for thermodynamics and fluid mechanics (ISBN 978-3-7347-7332-7)

Research Interests:
Technical thermodynamics, heat and mass transfer, process engineering for energy systems. Specializes in simulation and economic evaluation of power plants, energy storage (CAES, hydrogen systems), and district heating networks.

Research Projects:
Leading heatSHIFT, deepDHC, and KWK-Flex projects funded by BMWi, focusing on thermal storage, machine learning for load forecasting, and flexible CHP systems.

Publications:
Recent work analyzes sCO2 cycles for LNG plants (2025), seasonal thermal storage integration (2024), and deep learning applications in district heating (2023-2019). Earlier studies cover bioenergy roadmaps (2016), CO2 capture (2013), and SOFC systems (2005).

Technical Expertise:
Proficient in EBSILON®Professional, AspenHYSYS, Engineering Equation Solver, and TensorFlow. Contributed to standards for machine learning in energy systems.