UKCCSRC Call 1 Project: Tractable equations of state for CO2 mixtures in CCS: algorithms for automated generation and optimisation, tailored to end-users

This project will tackle one of the key technical challenges facing the development of commercially viable CO2 transport networks: modelling the phase behaviour of impure carbon dioxide, under the conditions typically found in carbon capture from power stations, and in high-pressure (liquid phase) and low-pressure (gas phase) pipelines. Models for phase behaviour are known as equations of state (EoS). EoS vary in their mathematical form, accuracy, region of validity and computational complexity. Because different applications have different requirements, there is no single EoS that is ideal for all applications. This project will use cutting-edge computer algorithms to automatically reparameterise EoS for CCS modelling. This flexible technique will allow a user to specify their requirements and re-derive model parameters matched to their needs. Our algorithms will directly produce functional forms for EoS from experimental data, thus fully automating the derivation of EoS. This will enable users to rapidly produce bespoke EoS that are tailored to their particular application, and will enable these models to continually evolve as new measurements become available, ensuring that experimental advances are rapidly converted into improved CCS modelling and, ultimately, better performance and efficiency of real CCS processes. Grant number: UKCCSRC-C1-22.
 
Citation proposal
. UKCCSRC Call 1 Project: Tractable equations of state for CO2 mixtures in CCS: algorithms for automated generation and optimisation, tailored to end-users. https://metadata.bgs.ac.uk/geonetwork/srv/api/records/1b4ed972-210e-170a-e054-002128a47908

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Date ( Creation )
2013-04
Identifier
http://data.bgs.ac.uk/id/dataHolding/13606671

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  • Geology
Keywords
  • NERC_DDC
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The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
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Either: (i) the dataset is made freely available, e.g. via the Internet, for a restricted category of use (e.g. educational use only); or (ii) the dataset has not been formally approved by BGS for access and use by external clients under licence, but its use may be permitted under alternative formal arrangements; or (iii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted in order to determine the permitted usage of the dataset. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant use restrictions. This staff member should revert to the IPR Section (ipr@bgs.ac.uk ) for advice, should the position not be clear.
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English English
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  • Geoscientific information

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https://www.bgs.ac.uk/ukccs/accessions/projects.html  
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nonGeographicDataset Non geographic dataset
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non geographic dataset

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Date ( Publication )
2011
Explanation
See the referenced specification
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false

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Date ( Publication )
2010-12-08
Explanation
See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
Pass
false
Statement
UKCCSRC Call 1 project, grant number: UKCCSRC-C1-22, Lead institution: University of Nottingham

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1b4ed972-210e-170a-e054-002128a47908   XML
Metadata language
English English
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nonGeographicDataset Non geographic dataset
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non geographic dataset
Date stamp
2021-08-05
Metadata standard version
2.3

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http://data.bgs.ac.uk/id/dataHolding/13606671
 
 

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