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H2scan - HY-OPTIMA® 2700 Series Explosion Proof In-line Hydrogen Process Analyzer

HY-OPTIMA® 2700 Series Explosion Proof In-line Hydrogen Process Analyzer

Overview:

Explosion Proof In-line Hydrogen Process Analyzer

Solid-state, non-consumable sensor
Hydrogen-specific measurement
Explosion-proof design

Configuration Details
H2scan’s HY-OPTIMA® 2700 series in-line, real time hydrogen-specific process analyzers are designed for ease of use, interface flexibility and true process control. The HY-OPTIMA 2700 series is an explosion proof device that incorporates our patented solid-state sensor and is configured to operate in background gas streams with up to 95% relative humidity and temperatures up to 60ºC. The HY-OPTIMA 2700 series is ideal for process gas applications where real time continuous measurements of hydrogen can increase process plant efficiencies, improve diagnostics and enhance maintenance management translating into higher profitability.

Verification Interval: 90 days
Product Life Expectancy: 10+ Years
Pressure Compensation: Yes
Operating Humidity: < 95% RH (non condensing)
Flow Rate: 0.1 to 10 slpm
Process Gas Temperature: -20°C to 60°C
Operating Temperature-20°C to 55°C
Storage Temperature -30°C to 80°C
Output Signals
Analog: 4 to 20mA (or user specific mA)
Serial: RS422 or TS422
Relay Contacts2: 5A/240 VAC or 5A/30 VDC
Input Voltage: 90-240 VAC
Input Power: 15W
Dimensions: 7.5in (L) x 5.4in (W) x 5.7in (D)
Adapter Fitting: 3/4 in Union Tee Compression
ATEX versions are limited to 1.1 ATM max process gas pressure
Two programmable relays and one fault relay with normally open (N.O.) and normally closed (N.C.) contacts
Reliable Data for AI and Analytics
Proprietary self-monitoring technology continuously validates sensor performance, delivering clean, accurate data your AI and predictive maintenance initiatives demand. Unlike sensors that fail silently and corrupt your data record, H2scan sensors alert you immediately if performance degrades—ensuring every data point is reliable for both today’s monitoring needs and tomorrow’s analytics.

Image by Jacob Padilla
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