UKCCSRC Call 2 project poster: CO2 Flow Metering through Multi-Modal Sensing and Statistical Data Fusion, CSLF Call project poster reception, London, 27.06.16

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Dataset information

Country of origin
Updated
Created
Available languages
English
Keywords
NERC_DDC, Carbon capture and storage
Quality scoring
90

Dataset description

This poster on the UKCCSRC Call 2 project CO2 Flow Metering through Multi-Modal Sensing and Statistical Data Fusion was presented at the CSLF Call project poster reception, London, 27.06.16. Grant number: UKCCSRC-C2-218. Measurement and monitoring of CO2 flows across the Carbon Capture and Storage (CCS) chain are essential to ensure accurate accounting of captured CO2 and help prevent leaking during transportation to storage sites. The significant changes in physical properties of CO2 depending on its state (gas, liquid, two-phase or supercritical) mean that CO2 flows in CCS pipelines are complex by their nature. Meanwhile, impurities in a CO2 pipeline also make the flow more likely in the form of two-phase mixture. Despite difficulties due to the changes in CO2 properties, there has been very little research into metering issues of CO2 flows. The aim of this project is to develop a cutting-edge technology for CO2 flows metering in CCS pipelines. The objectives are as follows: • To establish a mass reference platform for CO2 flowmeter calibration; • To develop a prototype multi-modal sensing system and data fusion algorithms for mass flow metering of CO2; • To evaluate the performance of the multi-modal sensing system under single-phase and two-phase CO2 flow conditions.
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