1 citations · 1 across the 10 of their papers we have counts for
10 papers
Risk-Aware Unit Commitment in District Heating Networks: Chance-Constrained and CVaR Optimization Under Demand Uncertainty
Annika Buchholz, Janina Zittel, Thorsten Koch
While district heating networks are a key component of the energy transition, their operational planning is challenging due to substantial uncertainty in heat demand. We study how…
Benchmarking Realistic Synthetic Instances Against a Large-Scale District Heating Network: A Multi-Objective Optimization Study for Berlin
Annika Buchholz, Stephanie Riedmüller, Matthew Passage +1
Decarbonizing urban energy systems requires optimization approaches capable of handling the operational complexity of large-scale district heating networks. However, existing studi…
Reconnecting Fragmented Citation Networks with Semantic Augmentation
Vu Thi Huong, Annika Buchholz, Imene Khebouri +5
Citation graphs are fundamental tools for modeling scientific structure, but are often fragmented due to missing citations of scientifically connected articles. To address this iss…
Computational acceleration strategies for large-scale energy system optimization: a comparative study of GPU-accelerated and distributed-memory solvers
Janina Zittel, Annika Buchholz, Michael Bussieck +5
Energy system optimization models are increasing in scope and resolution, yielding large and challenging linear programs. For a long time, the standard way to address such problems…
Warm-starting Strategies in Scalarization Methods for Multi-Objective Optimization
Stephanie Riedmüller, Janina Zittel, Thorsten Koch
We explore how warm-starting strategies can be integrated into scalarization-based approaches for multi-objective optimization in (mixed) integer linear programming. Scalarization…
Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth
Milena Petkovic, Natasha Dropka, Xia Tang +1
The Czochralski (Cz) method is a widely used process for growing high-quality single crystals, critical for applications in semiconductors, optics, and advanced materials. Achievin…
Enhancing Multi-Energy Modeling: The Role of Mixed-Integer Optimization Decisions
Stephanie Riedmüller, Annika Buchholz, Janina Zittel
The goal to decarbonize the energy sector has led to increased research in modeling and optimizing multi-energy systems. One of the most promising techniques for modeling (multi-)e…
Long-Term Multi-Objective Optimization for Integrated Unit Commitment and Investment Planning for District Heating Networks
Stephanie Riedmüller, Fabian Rivetta, Janina Zittel
The need to decarbonize the energy system has intensified the focus on district heating networks in urban and suburban areas. Therefore, exploring transformation pathways with reas…
Optimal discrete pipe sizing for tree-shaped CO2 networks
Jaap Pedersen, Thi Thai Le, Thorsten Koch +1
Many energy-intensive industries, like the steel industry, plan to switch to renewable energy sources. Other industries, such as the cement industry, have to rely on carbon capture…
Optimizing transient gas network control for challenging real-world instances using MIP-based heuristics
Felix Hennings, Kai Hoppmann-Baum, Janina Zittel
Optimizing the transient control of gas networks is a highly challenging task. The corresponding model incorporates the combinatorial complexity of determining the settings for the…