Multi-stage Stochastic Optimisation of a CO 2 Transport and Geological Storage in the UK

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Title: Multi-stage Stochastic Optimisation of a CO 2 Transport and Geological Storage in the UK
Authors: Elahi, N
Shah, N
Korre, A
Durucan, S
Item Type: Conference Paper
Abstract: Deterministic whole system multi-stage optimisation frameworks provide valuable insights into the cost effective design and operation of CO 2 capture and storage (CCS) systems. However commercial deployment of CCS faces significant technical and economic uncertainties, which necessitate flexibility in system development strategies as well as coordination of all aspects of a CCS system across both time and space. This paper builds on a whole system dynamic CCS optimisation tool developed at Imperial College and presents a mixed integer linear programming approach for multi-stage multi-scenario stochastic optimisation of a spatially explicit integrated CCS system under uncertainty. The model provides great advantages through flexible strategies for all potential system state changes at every stage and early one-fit-for-all investment solutions that minimise financial loss and offer operational flexibility. The model is showcased through a case study set in the UK between 2015-2050 focusing on the techno-economic performance of the CCS value chain and considering uncertainties in the financial market and the storage capacity within a portfolio of Southern North Sea saline aquifer and depleted oil and gas fields.
Issue Date: 18-Aug-2017
Date of Acceptance: 14-Nov-2016
URI: http://hdl.handle.net/10044/1/53745
DOI: https://dx.doi.org/10.1016/j.egypro.2017.03.1787
ISSN: 1876-6102
Publisher: Elsevier
Start Page: 6514
End Page: 6525
Journal / Book Title: Energy Procedia
Volume: 114
Copyright Statement: © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )
Sponsor/Funder: Natural Environment Research Council (NERC)
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: NE/H01392X/1
EP/K035967/1
Conference Name: 13th International Conference on Greenhouse Gas Control Technologies
Publication Status: Published
Start Date: 2016-11-14
Finish Date: 2016-11-18
Conference Place: Lausanne, Switzerland
Appears in Collections:Faculty of Engineering
Earth Science and Engineering
Centre for Environmental Policy
Chemical Engineering
Faculty of Natural Sciences



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