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SICK Ltd SCP3000 Gas Sampling System for Kiln Inlets

Your Benefits

  • High operational availability and functional reliability due to effective anti-stick and blow back system to prevent blocking by deposits
  • Self-test functions to protect components against power, coolant or compressed air malfunction
  • Pneumatic or electric emergency retraction of the probe in case of loss of compressed air or power
  • For gas temperatures of up to 1,400 °C (2,550 °F)
  • For very high dust loads up to 2,000 g/m3
  • Effective shock blower to prevent any blockage on the probe inlet
  • Rotating unit to remove backing of deposits
  • Minimum installation requirements
  • Reduced maintenance costs: up to 100 hours per year due to the self test functions: automatic purging, cleaning of probe and filter
  • Automatic monitoring and remote control functions of the complete system via PLC
  • Touch screen with intuitive menus for easiest use
  • System approved for harsh process condition

Available: ONT, QC, Maritimes


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Description

Burning alternative fuels in lieu of gas, oil or coal has a significant impact on the process gas analysis of cement clinker production. Process gas monitoring at the kiln inlet is not a task for the average gas analyzer. SICK’s MCS300P Hot Wet multi-component analysis system, combined with the SCP3000 gas sampling system offers a reliable system for kiln inlet measurements as well as for optimizing fuel consumption and production quality. To fulfill the customer application requirements, the SCP3000 with self-cleaning functions is designed as a modular system. This solution from SICK for kiln inlet analysis allows future modifications to meet changing measurement requirements and offers reliable results with minimum maintenance.

Documents

SICK_scp3000_gas_sampling_system_for_kiln_inlets_en_Datasheet_Apr2022_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