Federal, state, and local environmental regulations require to monitor, speciate, and quantify waste gas flow to flares. Whether for refineries, gas processing, petrochemical or chemical plants, online measurement may be required to speciate constituents and determine the heat value or quantity of reactive volatile hydrocarbons and hydrogen sulfide (H2S) or total sulfur emissions.

On-line and automatic process gas chromatography provides this data continuously and with documented performance specification as part of an integrated measurement solution. Its track record of functionality over long periods of time ensures you can document and report accurate data to regulatory agencies.

While regulatory measurements are mandatory, there are tangible economic benefits to using a MAXUM Process Gas Chromatograph as part of your compliance strategy.

By characterizing and quantifying flare gas as required, also unknown product loss caused by leaks in pressure relief or shut-off valves can be identified and eliminated.

Furthermore, characterizing flare gas and liquid recovery permits you to recycle these flows effectively. MAXUM enables you to improve community relations around plants by assisting to increase combustion efficiency, reduce flare visibility and reduce unburned chemicals emission. It is ideal for monitoring plant-operational changes and flare-recovery systems in tough industrial environments, including hazardous areas such as refineries, chemical and petrochemical plants.

The measurement system automatically performs and reports daily, weekly, and quarterly validation utilizing reference standards. Furthermore, utilizing smart sample system devices not only permits continuous monitoring of proper sample delivery, but it also increases confidence in the measured values, and provides information in advance when maintenance is needed.

The analyzer system management tool in turn continuously collects, aggregates and visualizes selected important performance indicators in order to indicate performance deviations early on, suggests maintenance, and therefore, increases data integrity and availability.