Improve Efficiency and Performance of Your Equipment

PPPR Screenshot, Scatterplot, Multiple Variables vs. TimePPPR Screenshot, Scatterplot, Multiple Variables vs. Time

Improve Efficiency and Performance of Your Equipment

Problem: Optimize performance and reliability of ongoing operations; stabilize and improve flame temperatures of an 85 MW coal-burning multicyclone unit.

Solution: Apply StatSoft’s proprietary data-driven (data mining) methodologies to consistently increase flame temperatures under a variety of loads.

Results: Flame temperatures increased consistently across all cyclone burners, leading to more reliable operations.

Note: Even though the flame temperatures had been within satisfactory limits, StatSoft’s optimized control settings improved temperatures further and beyond historical values.


Stabilize Operations

Problem: Optimization of a 400 MW coal-fired DRB-4Z burner for consistent and robust low NOx operations; avoid excursions, expensive downtime

Solution: Apply StatSoft’s methodologies to reduce both the average NOx and variability (control variability, then target process for better performance); optimized solution allows burner to operate consistently under normally occurring (external) variability in load, coal quality, etc.

Results: After dialing in StatSoft optimized settings, flame temperatures immediately responded (strongly), resulting in more stable and higher flame temperatures (cleaner combustion)

Note: Optimized settings for combinations of control parameters not only resulted in lower NOx, but also greater robustness, i.e. consistently lower NOx emissions with less variability (no excursions) were achieved over continued operations at low load.

PPPR Screenshot, Scatterplot, NOx Under Low LoadPPPR Screenshot, Scatterplot, NOx Under Low Load


PPPR Screenshot, Standard and Optimized Comparison Chart, NOx under low loadPPPR Screenshot, Standard and Optimized Comparison Chart, NOx under low load

Reduce Emissions (NOx, CO)

Problem: Optimization of a 400 MW coal-fired DRB-4Z burner for low-NOx operations under low load (50-175 MW).

Solution: Apply StatSoft proprietary data-driven (data mining) technologies to historical data; identify optimized parameter settings (changes to air flows); results consisted of a set of specific (achievable) input parameter ranges that could be implemented easily into the existing DCS (digital control system).

Results: After optimization, NOx emissions under low-load operations were then comparable to NOx emissions under higher loads.


Request a consultation and find out how we can help you! – lorraine@statsoft.co.za

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About statsoftsa

StatSoft, Inc. was founded in 1984 and is now one of the largest global providers of analytic software worldwide. StatSoft is also the largest manufacturer of enterprise-wide quality control and improvement software systems in the world, and the only company capable of supporting its QC products worldwide, with wholly owned subsidiaries in all major markets (StatSoft has 23 full-service offices, on all continents), and its software is available in more than 10 languages.

Posted on November 9, 2012, in Uncategorized. Bookmark the permalink. Leave a comment.

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