Scipediacontent: Scipediacontent moved page Draft Content 850054831 to Wang et al 2017f

2021-02-03T14:45:18Z

Scipediacontent moved page Draft Content 850054831 to Wang et al 2017f

Scipediacontent: Created page with " == Abstract == Carbon Capture and Storage (CCS) is a promising technology that stops the release of CO\(_2\) from industrial processes such as electrical power generation. A..."

2021-02-03T14:45:15Z

Created page with " == Abstract == Carbon Capture and Storage (CCS) is a promising technology that stops the release of CO\(_2\) from industrial processes such as electrical power generation. A..."

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== Abstract ==

Carbon Capture and Storage (CCS) is a promising technology that stops the release of CO\(_2\) from industrial processes such as electrical power generation. Accurate measurement of CO\(_2\) flows in a CCS system where CO\(_2\) flow is a gas, liquid, or gas-liquid two-phase mixture is essential for the fiscal purpose and potential leakage detection. This paper presents a novel method based on Coriolis mass flowmeters in conjunction with least squares support vector machine (LSSVM) models to measure gas-liquid two-phase CO\(_2\) flow under CCS conditions. The method uses a classifier to identify the flow pattern and individual LSSVM models for the metering of CO2 mass flowrate and prediction of gas volume fraction of CO\(_2\), respectively. Experimental work was undertaken on a multiphase CO\(_2\) flow test facility. Performance comparisons between the general LSSVM and flow pattern based LSSVM models are conducted. Results demonstrate that Coriolis mass flowmeters with the LSSVM model incorporating flow pattern identification algorithms perform significantly better than those using the general LSSVM model. The mass flowrate measurement of gas-liquid CO\(_2\) is found to yield errors less than ±2% on the horizontal pipeline and ±1.5% on the vertical pipeline, respectively, over flowrates from 250 kg/h to 3200 kg/h. The error in the estimation of CO\(_2\) gas volume fraction is within ±10% over the same range of flow rates.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_850054831-beopen5032-6868-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1016/j.ijggc.2017.11.021 http://dx.doi.org/10.1016/j.ijggc.2017.11.021] under the license http://creativecommons.org/licenses/by/3.0

* [https://doi.org/10.1016/j.ijggc.2017.11.021 https://doi.org/10.1016/j.ijggc.2017.11.021] under the license http://creativecommons.org/licenses/by/4.0

* [https://kar.kent.ac.uk/64823/11/1-s2.0-S1750583617306308-main%20CC%20BY.pdf https://kar.kent.ac.uk/64823/11/1-s2.0-S1750583617306308-main%20CC%20BY.pdf] under the license cc-by

* [https://api.elsevier.com/content/article/PII:S1750583617306308?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S1750583617306308?httpAccept=text/xml],
: [https://api.elsevier.com/content/article/PII:S1750583617306308?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S1750583617306308?httpAccept=text/plain],
: [http://dx.doi.org/10.1016/j.ijggc.2017.11.021 http://dx.doi.org/10.1016/j.ijggc.2017.11.021] under the license http://creativecommons.org/licenses/by/3.0

* [https://kar.kent.ac.uk/64823 https://kar.kent.ac.uk/64823],
: [https://www.sciencedirect.com/science/article/pii/S1750583617306308 https://www.sciencedirect.com/science/article/pii/S1750583617306308],
: [https://research.tees.ac.uk/en/publications/mass-flow-measurement-of-gas-liquid-two-phase-co2-in-ccs-transpor https://research.tees.ac.uk/en/publications/mass-flow-measurement-of-gas-liquid-two-phase-co2-in-ccs-transpor],
: [https://research.tees.ac.uk/ws/files/4363108/1_s2.0_S1750583617306308_main.pdf https://research.tees.ac.uk/ws/files/4363108/1_s2.0_S1750583617306308_main.pdf],
: [https://academic.microsoft.com/#/detail/2771217775 https://academic.microsoft.com/#/detail/2771217775] under the license https://www.elsevier.com/tdm/userlicense/1.0/

* [ ]

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Scipediacontent: Scipediacontent moved page Draft Content 850054831 to Wang et al 2017f

Scipediacontent: Created page with " == Abstract == Carbon Capture and Storage (CCS) is a promising technology that stops the release of CO\(_2\) from industrial processes such as electrical power generation. A..."