Programming software AI/ML Automated Gas Turbine Tuning

machine learningfuelAI

To reach carbon-neutral in the near future while providing reliable power, many companies are turning to Aeroderivative gas turbines that can handle turning on and off quickly in response to grid demands. Keep your gas turbines running at maximum efficiency for on-demand power Tuned for Performance Autonomous Tuning software automatically tunes for emissions compliance and ideal performance based upon changes in ambient temperature, fuel properties and degradation. AI-Powered Solution the AI automatically explores the space of operation of gas turbines, builds a machine learning model, and continuously finds the optimal flame temperatures and fuel split to minimize emissions and acoustics every 2 seconds Risk-Free Solution Available on-premises. The Level 2 software is fully bound by the controls system safety-critical programming and is unable to harm the gas turbine Before and After CO emissions were significantly reduced. The CO profile is now controlled and fully complaint with regulations Reduced CO emissions by 14% A LM6000 peaking plant reduced CO emissions by 14% when operating with low-specific gravity composition that can increase CO emissions. NOx emissions were reduced by up to 12% when operating with high-specific gravity composition, which can increase NOx emissions. Manual tuning events were reduced from 4 to 0 while avoiding 12 days of downtime. Since the installation of the software, the plant has not experienced any high acoustics events, down from 6 the previous year A European LM6000 plant reduced NOx emissions by 10% without the need for a combustion overhaul alternative that would have cost the site $2M and require a 12-week outage