@article{Kolster:2017:10.1016/j.ijggc.2017.01.014,
author = {Kolster, C and Mechleri, E and Krevor, S and Mac, Dowell N},
doi = {10.1016/j.ijggc.2017.01.014},
journal = {International Journal of Greenhouse Gas Control},
pages = {127--141},
title = {The role of CO<inf>2</inf> purification and transport networks in carbon capture and storage cost reduction},
url = {http://dx.doi.org/10.1016/j.ijggc.2017.01.014},
volume = {58},
year = {2017}
}

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TY  - JOUR
AB  - A number of Carbon Capture and Storage projects (CCS) are under way around the world, but the technology's high capital and operational costs act as a disincentive to large-scale deployment. In the case of both oxy-combustion and post-combustion CO 2  capture, the CO 2  compression and purification units (CO 2 CPU) are vital, but costly, process elements needed to bring the raw CO 2  product to a quality that is adequate for transport and storage. Four variants of the CO 2 CPU were modelled in Aspen HYSYS each of which provide different CO 2  product purities at different capital and operating costs. For each unit, a price of CO 2  is calculated by assuming that it is an independent entity in which to invest and the internal rate of return (IRR) must be greater or equal to the minimum rate  of return on investment. In this study, we test the hypothesis that, owing to the fact that CO 2  will likely be transported in multi-source networks, not all CO 2  streams will need to be of high purity, and that it may be possible to combine several sources of varying purity to obtain an end-product that is suitable for storage. We find that, when considering study generated costs for an example network in the UK, optimally combining these different sources into one multi-source transport network subject to a minimum CO 2  purity of 96% can reduce the price of captured CO 2  by 17%.
AU  - Kolster,C
AU  - Mechleri,E
AU  - Krevor,S
AU  - Mac,Dowell N
DO  - 10.1016/j.ijggc.2017.01.014
EP  - 141
PY  - 2017///
SN  - 1750-5836
SP  - 127
TI  - The role of CO<inf>2</inf> purification and transport networks in carbon capture and storage cost reduction
T2  - International Journal of Greenhouse Gas Control
UR  - http://dx.doi.org/10.1016/j.ijggc.2017.01.014
UR  - http://hdl.handle.net/10044/1/49745
VL  - 58
ER  - 

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