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Multi-criteria assessment of inland and offshore carbon dioxide transport options

Abstract

Transport is a key element of carbon dioxide
capture, transport, and storage (CCTS) supply chains. Early movers, particularly inland emitters (e.g., in continental Europe), do not yet have access to a fully developed
network infrastructure connecting them with the offshore storage hubs (e.g., in the European northern seas, as these belong to the first wave of storage infrastructure that will be developed in Europe). Therefore, specific source-to-sink CCTS supply chains combining and integrating different transport options must be developed and deployed first. In this work we analyse such transport options, which include (i) tank containers that can be transported by trucks, trains, barges, or ships, (ii) dedicated tanks permanently integrated into trucks, trains, barges, or ships, and (iii) pipelines. We develop general and portable methods, criteria, and correlations to determine the cost of transport through any given connection between two nodes in a
network infrastructure, using any of the modes of transport above, as a function of distance and capacity. In particular, the correlations are based on real data collected through interviews with service providers and stakeholders. Based on the associated techno-economic assessment and the consideration of additional performance indicators of a more holistic nature, we carry out a multi-criteria assessment of the different transport options. Such multi-criteria approach allows for a holistic and transparent comparative assessment of the different alternatives for a whole CCTS supply chain, as illustrated with reference to a very specific connection.

Category

Academic article

Client

  • EC/H2020 / 101022487

Language

English

Author(s)

  • Pauline Oeuvray
  • Johannes Burger
  • Simon Roussanaly
  • Marco Mazzotti
  • Viola Beccattini

Affiliation

  • ETH Zurich
  • SINTEF Energy Research / Gassteknologi

Year

2024

Published in

Journal of Cleaner Production

ISSN

0959-6526

Publisher

Elsevier

Volume

443

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