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Thermo-physical properties of CO2 mixtures and their impacts on CO2 capture, transport and storage: Progress since 2011
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Key Laboratory of Refrigeration Technology of Tianjin, Tianjin University of Commerce, Tianjin, 300134, China.ORCID iD: 0000-0002-6279-4446
Key Laboratory of Refrigeration Technology of Tianjin, Tianjin University of Commerce, Tianjin, 300134, China.
Department of Energy and Petroleum Engineering, University of Stavanger, Stavanger, 4036, Norway.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0003-0300-0762
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2019 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 255, article id 113789Article in journal (Refereed) Published
Abstract [en]

The knowledge of accurate thermo-physical properties is crucial for the development and deployment of CO2 capture, transport and storage (CCS). The progress on the experimental data and theoretical models regarding thermo-physical properties of CO2 mixtures as well as the property impact on the design and operation of different CCS processes has been updated. The newly published experimental data since 2011 have been collected and reviewed based on which the new knowledge gaps regarding measurements have been identified. There have also been some advanced models proposed recently, which have shown good performances. The collected model performances don't show there exist a model that is superior to others; but they still provide a good guideline regarding model selection. However, developing more-complex models as the complexity may not necessarily improve the accuracy when empirical parameters were included and well-tuned. By comparing the importance of the properties and the accuracy of existing models, suggestions were given regarding the development of property models that should be prioritized. 

Place, publisher, year, edition, pages
2019. Vol. 255, article id 113789
Keywords [en]
CO2 capture transport and storage, Experimental data, Modeling, Property impacts, Thermo-physical properties
National Category
Environmental Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-45363DOI: 10.1016/j.apenergy.2019.113789ISI: 000497978100037Scopus ID: 2-s2.0-85071615984OAI: oai:DiVA.org:mdh-45363DiVA, id: diva2:1357206
Available from: 2019-10-03 Created: 2019-10-03 Last updated: 2019-12-19Bibliographically approved

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Li, HailongYan, Jinyue

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