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Nolzen, Niklas ; Lademann, Alexander ; Roskosch, Dennis ; Moret, Stefano ; Seele, Hagen ; Baader, Florian Joseph ; Bardow, André:
Low-regret Decisions for the Steam Supply in the Chemical Industry.
In:
Book of Abstracts : ESCAPE 34 - PSE 24. -
Milano
: AIDIC
,
2024
. - S. 166-169
ISBN 979-12-81206-15-1
Abstract
The decarbonization of the chemical industry requires carbon-neutral steam production either via direct electrification, e.g., using heat pumps, or via indirect electrification, e.g., using green hydrogen. However, due to low technology-readiness levels, the cost and performance of such promising technologies are subject to high uncertainties. This uncertainty prevents the industry from investing, fearing economic regret. This study proposes a method for identifying low-regret decisions based on global sensitivity analysis. Low-regret decisions are defined as an investment in a specific technology that is economically near-optimal in all future scenarios. The proposed method comprises four steps: 1) Uncertainty characterization, 2) Parameter sampling, 3) Identification of low-regret decisions, and 4) Quantification of low-regret decisions. The method is applied to an industrial case study of a multi-energy system. We identify heat pumps and heat storage as low-regret decisions. The proposed method supports the decarbonization of the chemical industry by identifying low-regret decisions as starting points of the transition.
Weitere Angaben
| Publikationsform: | Aufsatz in einem Buch |
|---|---|
| Begutachteter Beitrag: | Ja |
| Keywords: | Heat pump; mixed-integer linear optimization; uncertainty analysis; utility system |
| Institutionen der Universität: | Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Technische Thermodynamik und Transportprozesse |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften |
| Eingestellt am: | 06 Okt 2026 08:15 |
| Letzte Änderung: | 06 Okt 2026 08:15 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/99538 |