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EXPEC 2000 Greenhouse Gas Gas Chromatography Online Continuous Monitoring System
The EXPEC 2000 greenhouse gas chromatography online continuous monitoring system can be equipped with greenhouse gas specific FID or ECD detectors to
Product details
product overview
The EXPEC 2000 greenhouse gas chromatography online continuous monitoring system can be equipped with greenhouse gas specific FID or ECD detectors to detect factors such as CO2, CH4, CO, N2O, and SF6 in ambient air. The sample gas is first passed through a quantitative ring and then separated by a greenhouse gas specific chromatographic column. CH4 enters the FID detection, while CO and CO2 enter the methane conversion furnace successively. Under the action of a nickel catalyst, they are hydrogenated and reduced to CH4 at a high temperature of 42 ° C before being sent to the FID detection; NO and SF6 were separated by a chromatographic column and detected by ECD.
Product Features
Compliant with the standard "Online Observation Method for Background Atmospheric Carbon Dioxide and Methane Concentration by Gas Chromatography" (GB/T 31705-2015)
One analyzer can be configured with dual detectors to achieve CO2、 CH4、 CO、N2O and SF6High precision monitoring of multiple components
Adopting mature gas chromatography technology, simple operation and maintenance, and low operating costs
Adopting greenhouse gas specific FID or ECD detectors with excellent sensitivity and stability
application area
High precision monitoring of greenhouse gas concentration to obtain the spatiotemporal variation patterns of regional greenhouse gases
Assimilate satellite observation data, improve the accuracy of satellite remote sensing inversion, verify greenhouse gas emission inventories, obtain more accurate emission inventories and emission factors, and evaluate local carbon emissions
Based on greenhouse gas concentration data, use a three-dimensional air quality model to estimate urban carbon emission flux and comprehensively evaluate carbon emissions
Assimilate satellite observation data, improve the accuracy of satellite remote sensing inversion, verify greenhouse gas emission inventories, obtain more accurate emission inventories and emission factors, and evaluate local carbon emissions
Based on greenhouse gas concentration data, use a three-dimensional air quality model to estimate urban carbon emission flux and comprehensively evaluate carbon emissions
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