研究目的
To develop a Raman lidar system capable of remotely detecting CO2 leakage and measuring its volume mixing ratio (VMR) for monitoring carbon capture and storage sites.
研究成果
The developed Raman lidar system demonstrates high accuracy (99.89%) in indoor tests and good agreement with in situ measurements in field tests (R=0.81, percentage difference=4.92%). It is effective for remote detection of CO2 leakage and VMR measurement, but limitations in spatial resolution and environmental factors suggest the need for enhancements such as higher laser power, improved receivers, and algorithm refinements for broader applicability in carbon capture and storage monitoring.
研究不足
The spatial resolution of the lidar system (37.5 m) may not detect small CO2 leaks effectively. Measurements are limited to night-time due to sunlight interference. The system's performance can be affected by terrain obstacles and wind conditions, which were not quantified due to lack of data. Lowering measurement altitude may introduce noise from fluorescence effects. The current algorithm does not account for fluorescence, and further improvements are needed for better precision and detection limits at low CO2 levels.
1:Experimental Design and Method Selection:
The study involved designing a Raman lidar system using the elastic scattering and Raman lidar equations to retrieve CO2 mixing ratios. The methodology included indoor cell measurements for accuracy validation and field tests at an artificial CO2 leakage site.
2:Sample Selection and Data Sources:
Indoor measurements used a CO2 gas cell with VMR ranging from 10% to 100%. Field measurements were conducted at the Eumseong Environmental Impact Evaluation Test Facility in Korea, with CO2 injected into the ground. Data from in situ instruments (VAISALA GMP343) were used for comparison.
3:0%. Field measurements were conducted at the Eumseong Environmental Impact Evaluation Test Facility in Korea, with CO2 injected into the ground. Data from in situ instruments (VAISALA GMP343) were used for comparison. List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Components included a Nd:YAG laser (355 nm, 80 mJ, 20 Hz), Schmidt-Cassegrain telescope (
4:24 cm diameter), optical filters (notch filter at 355 nm, CO2 filter at 7 nm, N2 filter at 7 nm, 355 nm filter), photomultiplier tubes (R9880U-210), beam expander (5X), CO2 gas vessel, mass flow controller, vacuum pump, and in situ CO2 probe. Experimental Procedures and Operational Workflow:
For indoor tests, CO2 was injected into a cell, and Raman signals were measured. For field tests, the lidar emitted laser pulses horizontally, collected backscatter signals from CO2 and N2 Raman scattering, and processed data using normalization and regression techniques. Measurements were done at night to avoid sunlight interference.
5:Data Analysis Methods:
Data were analyzed using linear regression to correlate normalized ratios with CO2 VMR, calculating correlation coefficients, mean absolute error, root mean square error, and percentage differences. Error propagation was used to estimate total errors.
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Nd:YAG laser
355 nm, 80 mJ, 20 Hz, <1.5 mrad beam divergence, 9 ns pulse duration
Emits laser pulses for Raman scattering excitation in the lidar system.
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Schmidt-Cassegrain telescope
6-In.
Collects scattered light as an optical receiver in the lidar system.
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Notch filter
F1, 355 nm
Reflects light at 355 nm and transmits other wavelengths to separate elastic and inelastic signals.
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CO2 filter
F2, CWL: 371.7 nm, FWHM: 0.5 nm
Transmits light at 371.7 nm to detect CO2 Raman scattering signals.
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N2 filter
F3, FWHM < 0.6 nm
Transmits light at 386.7 nm to detect N2 Raman scattering signals.
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355 nm filter
F4, CWL: 355 nm, FWHM: 10 nm
Transmits light at 355 nm for aligning the lidar signal.
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Photomultiplier tube
R9880U-210
Detects backscatter signals in CO2, N2, and 355 nm channels.
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Beam expander
5X, fixed beam-expander
Expands the laser beam diameter for eye safety.
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In situ CO2 probe
GMP343
VAISALA
Measures CO2 VMR for comparison with lidar data.
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Mass flow controller
Controls the CO2 mixing ratio in the indoor cell test.
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Vacuum pump
Releases CO2 gas from the cell in indoor tests.
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