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Endress+Hauser Launches A New Generation Of Liquid Analysis Sensors
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From SpectraSensorsApr 28 2021
Expectations for natural gas quality analysis are constantly increasing to meet the highest levels of accuracy and reliability with low maintenance and low total cost of ownership. From this requirement, the J22 TDLAS Gas Analyzer was created. The highly developed algorithms of the TDLAS measurement plus the sophisticated diagnostics, monitoring, and verification concept of Endress+Hauser Heartbeat Technology™ offers a comprehensive process monitoring that cannot be found anywhere else. Fewer failures, lower operating costs and improved reliability provide the user with a sustainable competitive advantage, ensuring continuous and reliable measurements.
TDLAS was introduced to the natural gas industry by SpectraSensors establishing the rugged nature of the laser-based analyzers. For over 20 years, SpectraSensors, has been providing customers with exceptional TDLAS gas measurements. The extractive TDLAS H2O analyzer systems are best-in-class for meeti
Natural Gas Analyzer Combines High Accuracy With Ease-Of-Use And Field Serviceability
Proven measurement technology for monitoring moisture content in natural gas pipelines benefits from improved user interface, data handling and network connectivity, along with enhanced modularity for optimal field serviceability.
SpectraSensors, an Endress+Hauser company, announces the release of its J22 TDLAS Gas Analyzer. This new product addresses multiple issues with traditional technologies used for the measurement of moisture content in natural gas, while providing additional benefits.
Today’s natural gas market is more complex than ever, with an unprecedented range of supply sources and overall gas composition variability. Gas suppliers, pipeline operators, and industrial users must accommodate unexpected changes in heating value and contaminant levels by using analyzers to verify characteristics throughout the supply chain. One very critical contaminant must be monitored continuously: