ABB Sensi+™: Natural gas analyzer

Sensi+™: Natural gas analyzer

Sensi+, GLA533-NG model, is a single, compact natural gas analyzer that detects simultaneously multiple natural gas contaminants in real-time in complex and time-varying natural gas streams.

This natural gas contaminants analyzer is based on a unique tunable diode laser (TDL) technology known as Off-Axis Integrated Cavity Output Spectroscopy (OA-ICOS™).

It provides continuous measurements of Hydrogen sulfide (H₂S), carbon dioxide (CO₂), and water (H₂O) which represent both a safety and a pipeline integrity risk.

Sensi+ natural gas technical analysis provides accurate measurement and facilitates fast response time for quick actions to process upsets.

Sensi+ is not only an essential tool for natural gas measurement for custody transfer, tariff compliance, and process monitoring but it also protects natural gas pipelines, storage facilities, and other mission-critical assets.

Designed to monitor natural gas contaminants

Sensi+ GLA533-NG model is a state-of-the-art gas analyzer designed to monitor natural gas contaminants such as H2S, H2O, and CO2.

Providing real-time monitoring of contaminant levels, Sensi+ gas measurement helps ensure safety and operational efficiency by triggering threshold alarms and redirecting contaminated streams. With its simple and user-friendly interface, Sensi+ offers AnalyzerExpert™ features that provide expert insights and actions directly from the device to perform natural gas technical analysis.

ABB's Integrated Cavity Output Spectroscopy (ICOS) laser absorption technology has been used for over 15 years in the world's most reliable gas analyzers, providing advanced spectroscopic analyses that offer unparalleled accuracy, precision, sensitivity, and reliability compared to other TDL analyzers.

Advantages of OA-ICOS technology

Fast response time to variations and quick refreshment rate on gas measurement

Minimizes cross-interferences using high-resolution diode laser absorption technology, low gas pressure, and data analytics

Reduced cost of ownership: The sample is directly measured without conditioning and the design reduces the use of consumables

Low sample flow, lowering the environmental impact and financial loss due to venting of natural gas

No need for periodic calibration

Internal performance metrics for asset health monitoring