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.
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
