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SICK Ltd CEMS Analyzer solutions MCS200HW

Your Benefits

  • Reliable measurement results, even for water-soluble gas components
  • Only one analyzer necessary for simultaneous monitoring of up to 12 gas components
  • Measurement components can be put together flexibly and extended at any time
  • Convenient, task-oriented operation
  • Remote access without additional software
  • High availability due to certified internal third-party monitoring (QAL3) without test gases
  • Low service costs thanks to minimal maintenance requirements
  • Complete data transmission through only one interface possible

Available: ONT, QC, Maritimes


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Description

The MCS200HW is a multi-component analyzer system for continuous monitoring of up to 10 IR measurement components in flue gases of industrial combustion plants. The MCS200HW is hot/wet extractive: All parts which touch media, from the gas sampling probe to the cell, are heated above the dew point and therefore protected from corrosion.

An integrated oxygen sensor also measures oxygen. As an option, a TOC measurement can be supplemented via an integrated GMS811 FIDORi. Internal reference point monitoring allows for a quick check of the measured values with test gases. The web display and the task assistant integrated in the software makes operation very easy.

At a glance
  • Measurement of up to 10 IR components plus O2 and TOC
  • Hot/wet extractive measurement technology
  • Wear-free gas distribution through ejector pumps
  • Reference point monitoring with internal calibration cells
  • Certified digital Modbus® interface
  • Web server for platform-independent device control
  • Use of dry test gases for HCl and NH3

Documents

SICK_FLOWSIC100-Flare-XT_Brochure_en_Nov2021_Westech.pdf

Manufacturer info

Industrial automation is changing at an extremely rapid pace. As an innovation leader on the vanguard of developing cutting-edge sensor technology, SICK offers solutions today that are ready for the challenges of the future – with intelligent sensors that collect data, evaluate it in real time, adapt to their environment, and communicate in the network.

Website https://www.sick.com