IIT Madras uses machine learning to study how biomass behaves during gasification

In India, Outlook India reports that researchers from the Indian Institute of Technology Madras have used a machine learning method called Recurrent Neural Networks to study how biomass behaves in a gasification reactor to become syngas. The study predicts the composition of the syngas based on the time the feedstock spends inside the reactor, a method which can be applied over a wide range of operating conditions thanks to the use of a statistical reactor. Other Artificial Intelligence tools were also used to calculate carbon capture and electrification.