About the Young Investigator Group »Advanced Modeling and Simulation of Transfer Processes for Next Generation Energy Systems«
The Young Investigator Group (YIG) Advanced Modeling and Simulation of Transfer Processes for Next Generation Energy Systems develops and applies new methods for efficient and accurate modeling of mass, heat, and momentum transport as well as mixing processes in fluid flows.
The focus of the research is the development of stochastic models that are able to reproduce and predict averaged transfer and mixing coefficients as well as details of local fluctuations. Utilizing a map-based modeling approach enables full-scale resolution of the multiscale mixing processes in turbulent flows in a numerically efficient manner. This kind of model reduction can be seen as complementary to data-driven approaches in which machine learning strategies are used to reduce the model complexity. Map-based stochastic approaches offer predictive capabilities by construction since fundamental physical principles are not violated.
The research area of the YIG furthermore includes the selection of suitable component models and discretization strategies that are tailored to the needs of the simulation of multi-energy systems. This ranges from the parameterization of heat exchangers, to the physically consistent description of time-dependent processes in district heating networks, and to the prediction of instantaneous wind profiles for wind power applications.
The YIG was established on 16 September 2022 at the Scientific Computing Lab (SCL) of the Energy Innovation Center (EIZ) Cottbus. It is located at the Chair of Numerical Fluid and Gas Dynamics of the BTU Cottbus-Senftenberg.
About Dr. Marten Klein
Marten Klein studied physics at the TU Dresden, where he worked on the numerical simulation of the optical properties of nanoscale structures at semiconductor surfaces. He switched to the BTU in order to perform numerical simulations of waves in rotating flows and ultimately completed his doctorate on anomalous focusing of internal waves and wave excitation by time-dependent boundary-layer processes. He then moved to the newly founded Chair of Numerical Fluid and Gas Dynamics of the BTU, where, as a post-doctoral researcher, he developed an independent research profile on the stochastic modeling of turbulent boundary layer flows. Since then he has been actively engaged in the academic self-administration and in establishing university courses on the computer simulation of fluid flows. As YIG lead, he is expanding his research profile to address some important challenges of new energy systems.