EURO 2024 Copenhagen
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1367. Linking freight transport and energy system models for coherent strategic investments decisions

Invited abstract in session TD-56: Advancing mobility towards sustainable solutions II, stream Transportation.

Tuesday, 14:30-16:00
Room: S04 (building: 101)

Authors (first author is the speaker)

1. Celine Pagnier
Industrial Economics and Technology Management, NTNU
2. Steffen Bakker
Industrial Economics and Technology Management, NTNU
3. Pernille Seljom
Renewable Energy Systems, Institute for Energy Technology (IFE)

Abstract

The decarbonization of the transport sector is deeply intertwined with the evolution of the energy system. While modifications of the transport energy demand are often put forward in transport models, there is seldom any discussion on the long-term effects of the newly needed energy-related infrastructures. To investigate this issue, we perform a quantitative analysis of the reciprocal dependencies between modal and fuel shift in freight transportation and energy systems, including energy infrastructure investments.

A soft-link is established between IFE-TIMES-Norway, an energy system model based on linear programming, and STraM, a freight transport model whose focus is on long-term infrastructure investments decisions in a multi-stage stochastic mixed-integer linear program framework. STraM generates an energy demand for the transport sector based on endogenously computed modal and fuel splits, which is fed into TIMES. Reciprocally, TIMES enhances STraM with its economic representation of technologies and evolution of fuel mix. We provide adaptable methods to reconcile disparities in resolution and aggregation between those models.

Then, comparative analyses allow to demonstrate the framework's improvement over the use of a single model and offer insights into the intricate dynamics of the transport-energy nexus. Finally, the gained knowledge is applied to a Norwegian case study to analyze coherent strategic investments decisions for the next few decades.

Keywords

Status: accepted


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