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Research On Remote Sensing Monitoring Response Of UAV With Risk Of CO2 Leakage In CCS Project

Posted on:2019-06-07Degree:MasterType:Thesis
Country:ChinaCandidate:T TengFull Text:PDF
GTID:2371330545459367Subject:Environmental Science
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In recent years,a large number of greenhouse gas?GHG?emissions from the combustion of fossil fuels have exacerbated the greenhouse effect and caused related ecological and environmental problems that have caused widespread public concern.Among them,CO2 is the most concerned substance in all greenhouse gases.Controlling and reducing CO2 in the atmosphere is an important means to mitigate the greenhouse effect.Carbon Capture and Storage?CCS?is considered to be the only technology system that can significantly reduce CO2 emissions at an industrial scale.However,because CCS may cause CO2 leakage,CO2 leakage risk monitoring It is an essential part of CCS.UAV?Unmanned Aerial Vehicle?remote sensing monitoring technology has been widely used in the field of environmental monitoring due to its advantages of stereoscopic monitoring,fast response speed,wide monitoring range,and small terrain interference.Using it to monitor CO2 risk leakage in CCS projects has become a frontier field of CO2 monitoring.In this paper,CO2 gradient release experiment is used as the basis to study its subsidence aggregation effect.Through the CO2 leakage simulation experiment,the environmental background values,flight monitoring data and theoretical simulation data of the laboratory are integrated and analyzed to explore the UAV remote sensing monitoring system under experimental conditions.The response of released CO2 is based on the analysis of the application of UAV remote sensing monitoring system in CCS leakage risk accidents at industrial scale.The main findings are as follows:?1?CO2 gradient release experiments show that CO2 will settle significantly in a more stable environment,and the amount of sedimentation and aggregation accounts for 30%-67%of the total release.?2?The drone flight monitoring experiment shows that under the condition of stable release of CO2 at a rate of 30 g/s,the environmental background value is taken as a reference,and the UAV remote sensing monitoring system is located at a position of 9.20 m with a wind direction of 10 m from the leakage source.Three standard deviations of CO2 above the ambient background value were detected.The response concentration was 502 ppm.The highest response during the entire flight monitoring experiment was 746 ppm and the average response was 570 ppm.?3?Based on the theoretical simulation of the Gaussian model under experimental conditions,after analyzing the C02 diffusion after the leakage,according to the characteristics of the C02 diffusion,the Gaussian model was used to analyze the diffusion concentration in the region.Theoretical simulation results show that the theoretical diffusion density of the UAV remote sensing monitoring system is 40 ppm for the first time,the error analysis result is 0.98,the theoretical concentration at the highest monitored concentration is 690 ppm,and the error analysis result is 0.24.?4?Considering the possibility of leakage accidents and local meteorological conditions in the CCS project in Jingbian,the UAV remote sensing monitoring system was able to respond to the observational altitude of 100 m using 100 ppm as the theoretical response concentration.The longest distance is a distance of 500 m from the source of the leak?without consideration of the lateral wind direction?.The theoretical concentration of the response is 109 ppm.The effective spatial field of the UAV remote sensing monitoring system can be monitored at least considering the horizontal diffusion effect.At 400 m x 100 m x 100 m,the theoretical concentration responded to 112 ppm.
Keywords/Search Tags:CCS, CO2 sedimentation aggregation effect, leakage risk, UAV remote sensing monitoring system, Gaussian model
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