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European supply chains for carbon capture, transport and sequestration, with uncertainties in geological storage capacity: Insights from economic optimisation

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Title: European supply chains for carbon capture, transport and sequestration, with uncertainties in geological storage capacity: Insights from economic optimisation
Authors: D'Amore, F
Sunny, N
Iruretagoyena, D
Bezzo, F
Shah, N
Item Type: Journal Article
Abstract: Carbon capture and storage is widely recognised as a promising technology for decarbonising the energy and industrial sector. An integrated assessment of technological options is required for effective deployment of large-scale infrastructures between the nodes of production and sequestration of CO2. Additionally, design challenges due to uncertainties in the effective storage availability of sequestration basins must be tackled for the optimal planning of long-lived infrastructure. The objective of this study is to quantify the financial risks arising from geological uncertainties in European supply chain networks, whilst also providing a tool for minimising storage risk exposure. For this purpose, a methodological approach utilising mixed integer linear optimisation is developed and subsequent analysis demonstrates that risks arising from geological volumes are negligible compared to the overall network costs (always <1% of total cost) although they may be significant locally. The model shows that a slight increase in transport (+11%) and sequestration (+5%) costs is required to obtain a resilient supply chain, but the overall investment is substantially unchanged (max. +0.2%) with respect to a risk-neutral network. It is shown that risks in storage capacities can be minimised via careful design of the network, through distributing the investment for storage across Europe, and incorporating operational flexibility.
Issue Date: 4-Oct-2019
Date of Acceptance: 20-Jul-2019
URI: http://hdl.handle.net/10044/1/73315
DOI: https://doi.org/10.1016/j.compchemeng.2019.106521
ISSN: 0098-1354
Publisher: Elsevier
Start Page: 1
End Page: 18
Journal / Book Title: Computers and Chemical Engineering
Volume: 129
Copyright Statement: © 2019 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: BEIS - Department for Business, Energy and Industrial Strategy
Funder's Grant Number: 415000025679
Keywords: Science & Technology
Technology
Computer Science, Interdisciplinary Applications
Engineering, Chemical
Computer Science
Engineering
Carbon capture transport and storage
European supply chain optimisation
Mixed integer linear programming
Uncertainty in storage capacity and risk
CO2 CAPTURE
POWER-SYSTEMS
DESIGN
RISK
INFRASTRUCTURE
TECHNOLOGY
IMPACT
MODEL
Science & Technology
Technology
Computer Science, Interdisciplinary Applications
Engineering, Chemical
Computer Science
Engineering
Carbon capture transport and storage
European supply chain optimisation
Mixed integer linear programming
Uncertainty in storage capacity and risk
CO2 CAPTURE
POWER-SYSTEMS
DESIGN
RISK
INFRASTRUCTURE
TECHNOLOGY
IMPACT
MODEL
Chemical Engineering
0904 Chemical Engineering
0913 Mechanical Engineering
Publication Status: Published online
Article Number: UNSP 106521
Online Publication Date: 2019-07-22
Appears in Collections:Centre for Environmental Policy
Chemical Engineering
Faculty of Natural Sciences