As the teams developed the models, plant operators 
reviewed recommendations to see what made 
sense, what other variables needed to be tested, 
and what kinds of recommendations the operators 
would find most helpful. By analyzing the effect of 
various inputs and set points on the plant—such as 
pressure and humidity, the angle of blades in the 
gas turbine, usage of inlet cooling technologies, and 
the age and performance of various components 
like filters and condensers—and running it through 
the model, the analysis was clear: overall duct-
burner usage could be reduced by approximately 
30 percent, which would result in the equivalent of 
$175,000 of yearly savings on fuel costs and wear 

6

An AI power play: Fueling the next wave of innovation in the energy sectorand tear on the system, in addition to an abatement 
of about 4,700 tons of carbon per year.
an-ai-power-play-fueling-the-next-wave-of-innovation-in-the-energy-sector-may-2022