Imperial College London
Alternate

Professor Nilay Shah OBE FREng

Faculty of Engineering, Department of Chemical Engineering

Professor of Process Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6621n.shah

 
 
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Assistant

 

Miss Jessica Baldock +44 (0)20 7594 5699

 
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Location

 

ACEX 522ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Elahi:2017:10.1016/j.egypro.2017.03.1787,
author = {Elahi, N and Shah, N and Korre, A and Durucan, S},
doi = {10.1016/j.egypro.2017.03.1787},
pages = {6514--6525},
publisher = {Elsevier},
title = {Multi-stage Stochastic Optimisation of a CO 2 Transport and Geological Storage in the UK},
url = {http://dx.doi.org/10.1016/j.egypro.2017.03.1787},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - 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.
AU  - Elahi,N
AU  - Shah,N
AU  - Korre,A
AU  - Durucan,S
DO  - 10.1016/j.egypro.2017.03.1787
EP  - 6525
PB  - Elsevier
PY  - 2017///
SN  - 1876-6102
SP  - 6514
TI  - Multi-stage Stochastic Optimisation of a CO 2 Transport and Geological Storage in the UK
UR  - http://dx.doi.org/10.1016/j.egypro.2017.03.1787
UR  - http://hdl.handle.net/10044/1/53745
ER  -
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