Decarbonization Avenue University research @ CLIMAX

Purdue utilizes high-tech AI to improve coal-burning power plants

Purdue’s mechanical engineering faculty and students are using artificial intelligence to help coal-dependent areas make the eventual transition to renewable energies.

The project team is using artificial intelligence to examine coal-driven power plants that have been called on in recent years to operate at partial load, resulting in a loss of efficiency.

The goal of the AI research is to create a data-driven model showing the best way to run the partial load boilers at peak efficiency.


  • Solar energy

Sustainability domain

  • Renewable Energy

Type of innovation

  • Core sciences & engineering

Stakeholder type

  • University researcher
  • Corporate researcher


Relevant for

  • Thermodynamics & heat sciences professional
  • Electrical engineer
  • Solar power professional
  • Production or process engineer
  • Artificial intelligence & machine learning professional

Innovation sector

  • Automation/robotics
  • Environmental sciences
  • Financial investing
  • Heat & thermodynamics
  • Renewable energy sciences