84 citations · 277 across the 26 of their papers we have counts for
4 papers · 1 filter
Robust Energy System Design via Semi-infinite Programming
Moritz Wedemeyer, Eike Cramer, Alexander Mitsos +1
Time-series information needs to be incorporated into energy system optimization to account for the uncertainty of renewable energy sources. Typically, time-series aggregation meth…
Physics-Informed Neural Networks for Dynamic Process Operations with Limited Physical Knowledge and Data
Mehmet Velioglu, Song Zhai, Sophia Rupprecht +3
In chemical engineering, process data are expensive to acquire, and complex phenomena are difficult to fully model. We explore the use of physics-informed neural networks (PINNs) f…
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization
Daniel Mayfrank, Na Young Ahn, Alexander Mitsos +1
Mechanistic dynamic process models may be too computationally expensive to be usable as part of a real-time capable predictive controller. We present a method for end-to-end learni…
Optimal design of a local renewable electricity supply system for power-intensive production processes with demand response
Sonja H. M. Germscheid, Benedikt Nilges, Niklas von der Assen +2
This work studies synergies arising from combining industrial demand response and local renewable electricity supply. To this end, we optimize the design of a local electricity gen…