1652. Exploring Renewable Fuel Infrastructures to Support Decarbonisation of the Nordic Maritime Sector
Invited abstract in session TA-46: Optimization and learning in energy and transport, stream Energy Economics & Management.
Tuesday, 8:30-10:00Room: Newlyn 1.07
Authors (first author is the speaker)
| 1. | Frederik Fristed
|
| Department of Technology, Management and Economics, Technical University of Denmark (DTU) | |
| 2. | Rasmus Bramstoft
|
| Technical University of Denmark | |
| 3. | Marie Münster
|
| DTU Management Engineering, Technical University of Denmark |
Abstract
Decarbonising Europe’s maritime transport sector may require the expansion of synthetic fuel production and supply chains for renewable electricity, hydrogen, and carbon sources. This transition requires extensive infrastructure for production, transport, and storage, while the specific needs depend on local availability of renewable energy, including biomass and CO2, in competition with other sectors, and on demand characteristics of individual regions. This study examines infrastructure investments for maritime fuel production in the Nordic region at NUTS3 spatial resolution, incorporating port-level fuel demand and facility-level CO2 sources and sequestration sites. We use a hard link between the sector-coupled energy system model, Balmorel, and the dedicated network flow model, OptiFlow, that captures PtX and CO2 infrastructure investments and tracks energy and feedstocks across conversion processes. We analyse maritime and energy system decarbonisation from 2030 to 2050 under three scenarios in which the aggregated Nordic system may (1) net-export, (2) be net-neutral, or (3) net-import electricity, hydrogen, CO2, and synthetic fuels. Fuel imports from outside Europe are included, with prices derived from a global trade model. Combining a large-scale energy system model with a network flow approach that integrates detailed spatial characteristics, we highlight the interplay between power, hydrogen, and CO2 infrastructures and the potential for regional self-sufficiency.
Keywords
- Large Scale Optimization
- Energy Policy and Planning
- Network Design
Status: accepted
Back to the list of papers