84 citations · 277 across the 26 of their papers we have counts for
8 papers · 1 filter
Accelerating Deterministic Global Optimization via GPU-parallel Interval Arithmetic
Hongzhen Zhang, Tim Kerkenhoff, Neil Kichler +4
Spatial Branch and Bound (B&B) algorithms are widely used for solving nonconvex problems to global optimality, yet they remain computationally expensive. Though some works have bee…
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…
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…
Demand Response for Flat Nonlinear MIMO Processes using Dynamic Ramping Constraints
Florian Joseph Baader, Philipp Althaus, André Bardow +1
Volatile electricity prices make demand response (DR) attractive for processes that can modulate their production rate. However, if nonlinear dynamic processes must be scheduled si…
Normalizing Flow-based Day-Ahead Wind Power Scenario Generation for Profitable and Reliable Delivery Commitments by Wind Farm Operators
Eike Cramer, Leonard Paeleke, Alexander Mitsos +1
We present a specialized scenario generation method that utilizes forecast information to generate scenarios for day-ahead scheduling problems. In particular, we use normalizing fl…
Simultaneous mixed-integer dynamic scheduling of processes and their energy systems
Florian Joseph Baader, André Bardow, Manuel Dahmen
Increasingly volatile electricity prices make simultaneous scheduling optimization desirable for production processes and their energy systems. Simultaneous scheduling needs to acc…
Dynamic Ramping for Demand Response of Processes and Energy Systems based on Exact Linearization
Florian Joseph Baader, Philipp Althaus, André Bardow +1
The increasing share of volatile renewable electricity production motivates demand response. Substantial potential for demand response is offered by flexible processes and their lo…
COMANDO: A Next-Generation Open-Source Framework for Energy Systems Optimization
Marco Langiu, David Yang Shu, Florian Joseph Baader +7
Existing open-source modeling frameworks dedicated to energy systems optimization typically utilize (mixed-integer) linear programming ((MI)LP) formulations, which lack modeling fr…