University of Basra master's thesis examines plasma-assisted splitting of carbon dioxide
A master's thesis at the University of Basra's College of Engineering investigated plasma-assisted carbon dioxide splitting based on artificial intelligence techniques.
The thesis aims to reduce overall CO2 emissions and reuse it to produce clean fuels. But before carbon dioxide can be beneficially converted into an environmentally friendly fuel, it must be converted into carbon monoxide (CO2). This conversion requires a lot of thermal energy, along with specific pressures and temperatures that must be met.
The thesis presented by student Alya Hussein Abbas included four chapters in which she discussed the implementation of the proposed design with the help of artificial intelligence techniques such as ANFIS and ML to create the reactor model and control unit. These techniques modify certain control parameters such as flow rate quantities, position, and switching time. ANFIS and ML were applied to make decisions on the generation and conversion of CO2 plasma. Real-time plasma control was optimized using iterative learning control (ILC).
Department of Media and Government Communication
