Our Vision

Optimizing the control systems of power plants with the help of modern digitization methods, such as the use of artificial intelligence and data science. Use of the potential of historical operator data to generate added value.

• AUTONOMOUS CONTROL OF A WASTE INCINERATION PLANT USING ARTIFICIAL INTELLIGENCE (AI) AS A SUCCESSFUL PILOT PROJECT
• • Energy Production & Waste Throughput ▲ +10%
  • O2 level ▼ -30%
  • Reduction of consumables (e.g. oil) ▼
  • Reduction of emissions (e.g. CO) ▼
  • Approval for operational use by TÜV Nord (pilot acceptance)

• PREDICTION OF PROCESS VALUES OF A WASTE INCINERATION PLANT USING AI FOR DETECTING STEAM LEAKS AND NOX EMISSIONS AS SUCCESSFUL PILOT PROJECTS
• • Successful prediction of steam production and NOx emissions for 5 and 15 minutes mean
  • Based on the forecast, measures can be taken to avoid steamdrops or NOx emissions
  • As an outlook, the manual intervention could also be automated

• WIN-WIN SITUATION THROUGH AI BETWEEN ECONOMY AND ECOLOGY!
• • These two examples show that it is possible with the help of AI to achieve a more sustainable operation of the systems, since the use of fossil fuels can be reduced:
• • Reduction of costs for consumables (e.g. oil and gas)
  • Reduction of CO2 emissions (climate protection)
  • Reduction of other emissions such as CO
• • Conclusion:
  • • This is, so to speak, a win-win situation between economy and ecology!
    • This win-win situation was also evident in other system types and other areas of application

If you want to know more about it, talk to us!
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