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A New Technique for Monitoring the Atmosphere above Onshore Carbon Storage Projects that can Estimate the Locations and Mass Emission Rates of Detected Sources

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A New Technique for Monitoring the Atmosphere above Onshore Carbon Storage Projects that can Estimate the Locations and Mass Emission Rates of Detected Sources. / Hirst, B.; Randell, D.; Jones, M.; Jonathan, P.; King, B.; Dean, M.

In: Energy Procedia, Vol. 114, 01.07.2017, p. 3716-3728.

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@article{d95cdd6707814dd092a6bdc37098df2f,
title = "A New Technique for Monitoring the Atmosphere above Onshore Carbon Storage Projects that can Estimate the Locations and Mass Emission Rates of Detected Sources",
abstract = "Carbon Capture and Storage (CCS) projects could grow to become a major new industrial activity over the next few decades; but securing the associated climate benefit is critically dependent on ensuring high integrity containment of the injected CO2. Our technique, called LightSource, is based on commercially available optical gas sensors that measure path-averaged CO2 gas concentrations along beams scanned over part of an onshore CCS site. Inter-beam correlations are used to infer the current local ambient background concentration. Statistically significant discrepancies between the multiple beams' path-averaged concentration measurements can be used to infer the existence of a source by applying the methods of statistical process control. This allows the estimation of the anomalous concentration on each beam that is associated with the inferred source(s). Using these anomalous concentration data in conjunction with a gas dispersion model, high frequency wind velocity and turbulence intensity data, we can solve the inverse gas dispersion problem to estimate the location and mass emission rates of the source(s) that best explain the data. The system does not require sources to be situated within the beam pattern unlike tomographic approaches which in addition require more intensive instrumentation. We have evaluated the LightSource system's performance under field conditions at the Quest CCS project site in Alberta Canada. All calibrated releases of tempered CO2 at emission rates of up to 300 kg/hr were successfully detected. {\circledC} 2017 The Authors.",
keywords = "atmospheric monitoring, CCS, inverse modelling, laser, optical gas sensors, Carbon dioxide, Digital storage, Gas detectors, Gases, Greenhouse gases, Inverse problems, Lasers, Statistical process control, Atmospheric monitoring, Background concentration, Carbon capture and storages (CCS), Concentration Measurement, Industrial activities, Inverse modelling, Light-source systems, Optical gas sensors, Carbon capture",
author = "B. Hirst and D. Randell and M. Jones and P. Jonathan and B. King and M. Dean",
year = "2017",
month = "7",
day = "1",
doi = "10.1016/j.egypro.2017.03.1502",
language = "English",
volume = "114",
pages = "3716--3728",
journal = "Energy Procedia",
issn = "1876-6102",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - A New Technique for Monitoring the Atmosphere above Onshore Carbon Storage Projects that can Estimate the Locations and Mass Emission Rates of Detected Sources

AU - Hirst, B.

AU - Randell, D.

AU - Jones, M.

AU - Jonathan, P.

AU - King, B.

AU - Dean, M.

PY - 2017/7/1

Y1 - 2017/7/1

N2 - Carbon Capture and Storage (CCS) projects could grow to become a major new industrial activity over the next few decades; but securing the associated climate benefit is critically dependent on ensuring high integrity containment of the injected CO2. Our technique, called LightSource, is based on commercially available optical gas sensors that measure path-averaged CO2 gas concentrations along beams scanned over part of an onshore CCS site. Inter-beam correlations are used to infer the current local ambient background concentration. Statistically significant discrepancies between the multiple beams' path-averaged concentration measurements can be used to infer the existence of a source by applying the methods of statistical process control. This allows the estimation of the anomalous concentration on each beam that is associated with the inferred source(s). Using these anomalous concentration data in conjunction with a gas dispersion model, high frequency wind velocity and turbulence intensity data, we can solve the inverse gas dispersion problem to estimate the location and mass emission rates of the source(s) that best explain the data. The system does not require sources to be situated within the beam pattern unlike tomographic approaches which in addition require more intensive instrumentation. We have evaluated the LightSource system's performance under field conditions at the Quest CCS project site in Alberta Canada. All calibrated releases of tempered CO2 at emission rates of up to 300 kg/hr were successfully detected. © 2017 The Authors.

AB - Carbon Capture and Storage (CCS) projects could grow to become a major new industrial activity over the next few decades; but securing the associated climate benefit is critically dependent on ensuring high integrity containment of the injected CO2. Our technique, called LightSource, is based on commercially available optical gas sensors that measure path-averaged CO2 gas concentrations along beams scanned over part of an onshore CCS site. Inter-beam correlations are used to infer the current local ambient background concentration. Statistically significant discrepancies between the multiple beams' path-averaged concentration measurements can be used to infer the existence of a source by applying the methods of statistical process control. This allows the estimation of the anomalous concentration on each beam that is associated with the inferred source(s). Using these anomalous concentration data in conjunction with a gas dispersion model, high frequency wind velocity and turbulence intensity data, we can solve the inverse gas dispersion problem to estimate the location and mass emission rates of the source(s) that best explain the data. The system does not require sources to be situated within the beam pattern unlike tomographic approaches which in addition require more intensive instrumentation. We have evaluated the LightSource system's performance under field conditions at the Quest CCS project site in Alberta Canada. All calibrated releases of tempered CO2 at emission rates of up to 300 kg/hr were successfully detected. © 2017 The Authors.

KW - atmospheric monitoring

KW - CCS

KW - inverse modelling

KW - laser

KW - optical gas sensors

KW - Carbon dioxide

KW - Digital storage

KW - Gas detectors

KW - Gases

KW - Greenhouse gases

KW - Inverse problems

KW - Lasers

KW - Statistical process control

KW - Atmospheric monitoring

KW - Background concentration

KW - Carbon capture and storages (CCS)

KW - Concentration Measurement

KW - Industrial activities

KW - Inverse modelling

KW - Light-source systems

KW - Optical gas sensors

KW - Carbon capture

U2 - 10.1016/j.egypro.2017.03.1502

DO - 10.1016/j.egypro.2017.03.1502

M3 - Journal article

VL - 114

SP - 3716

EP - 3728

JO - Energy Procedia

JF - Energy Procedia

SN - 1876-6102

ER -