Publications of Caroline Ganzer
All genres
Talk (7)
2024
Talk
Ganzer, C., Rihko-Struckmann, L., & Sundmacher, K.Annual Meeting: Life Cycle Assessment for Polyamide 6: Production, Recycling, DisposalPresented at: 2024 AIChE Annual Meeting San Diego, USA, October 27, 2024.
Talk
Hamedi, D., Ganzer, C., & Sundmacher, K.Hydrogen pipeline networks: retrofit vs. new-built.Presented at: EHEC (European Hydrogen Energy Conference)Bilbao, Spain, March 6, 2024.
Talk
Hamedi, D., Ganzer, C., & Sundmacher, K.Hydrogen pipeline networks: repurposing of natural gas networks vs. design from scratchPresented at: 2024 AIChE Annual Meeting San Diego, USA, October 27, 2024.
Talk
Klimek, A., Ganzer, C., & Sundmacher, K.Enhancing superstructure optimization via embedded neural networks in optimal process design for sustainable aviation fuel (SAF) productionPresented at: ESCAPE34Florence, Italy, June 2, 2024.
Talk
Klimek, A., Svitnic, T., Ganzer, C., & Sundmacher, K.The influence of technical, economic, and site-specific factors on optimal ammonia production from renewablesPresented at: 2024 AIChE Annual Meeting San Diego, USA, October 27, 2024.
2023
Talk
Hamedi, D., Ganzer, C., & Sundmacher, K.Comparative study of hydrogen and natural gas networks: Simulation and network design optimizationPresented at: WCCE11 - 11th WORLD CONGRESS OF CHEMICAL ENGINEERINGBuenos Aires, Argentina , June 4, 2023.
Talk
Sanchez Medina, E. I., Ganzer, C., , , & Sundmacher, K.An introductory course of machine learning for chemical engineering students: a prototypePresented at: WCCE11 - 11th WORLD CONGRESS OF CHEMICAL ENGINEERINGBuenos Aires, Argentina , June 4, 2023.
Poster (1)
2024
Poster
Ganzer, C. & Sundmacher, K.Systematic comparison of flowsheet optimization options: surrogate modelling vs. genetic algorithms vs Bayesian optimization.Presented at: 34th European Symposium on Computer-Aided Process Engineering (ESCAPE-34)Florence, Italy, June 2, 2024.
Preprint (1)
2025
Preprint
Plate, C., , Klimek, A., Ganzer, C., Sundmacher, K., & Sager, S. (in press)An analysis of optimization problems involving ReLU neural networks.