Carbon dioxide capture, transport and storage supply chains: Optimal economic and environmental performance of infrastructure rollout


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Date

2022-06

Publication Type

Journal Article

ETH Bibliography

yes

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Abstract

This work presents a novel optimization framework for the optimal design of carbon capture, transport, and storage supply chains in terms of installation, sizing and operation of carbon dioxide (CO2) capture and transport technologies. The optimal design problem is formulated as a mixed-integer linear program that minimizes the total costs of the supply chains while complying with different emissions reduction pathways over a deployment time horizon of 25 years. All design decisions are time-dependent and are taken with a yearly resolution. Whereas the model is general, here its features are illustrated by designing optimal supply chains to decarbonize the Swiss waste-to-energy sector, for various emission reduction pathways, when up to two storage sites are considered, namely one in the North Sea assumed to be already available and a hypothetical one in Switzerland assumed to be possibly available in the future. Findings show that, unless a domestic storage site becomes available soon, the transport cost is the greatest contribution to the overall costs, followed by the capture cost, while the storage cost plays only a minor role. Pipelines are the most cost-effective mode of transport for large volumes of transported CO2, especially when considering multi-year time horizons for the planning of the supply chains. Ship and barge connections are competitive with pipeline connections, whereas rail and truck connections are cost-optimal only when considering shortsighted time horizons or small volumes of CO2 transported.

Publication status

published

Editor

Book title

Volume

117

Pages / Article No.

103635

Publisher

Elsevier

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

CO2 supply chains; CO2 networks; CCS; Net-zero carbon emissions; Industrial emissions; Optimal planning

Organisational unit

09452 - Sansavini, Giovanni / Sansavini, Giovanni check_circle
03484 - Mazzotti, Marco (emeritus) / Mazzotti, Marco (emeritus) check_circle

Notes

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