Modelling of SO2 and NOx Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach

Chemical looping combustion (CLC) is one of the most advanced technologies allowing for reduction in CO2 emissions during solid fuels. The modified method combines chemical with oxygen uncoupling (CLOU) and situ gasification (iG-CLC). As a result, an innovative hybrid came into existence, making above two complementary. Since complexity CLC still not sufficiently recognized, study this process practical significance. paper describes experiences modelling complex geometry equipment. experimental facility consists reactors: air reactor fuel reactor. introduces fuzzy logic (FL) as artificial intelligence (AI) approach prediction SO2 NOx (i.e., NO + NO2) from coal biomass carried out air-firing; oxyfuel; iG-CLC; CLOU conditions. developed model has been successfully validated on 5 kWth research unit called dual fluidized bed fuels (DFB-CLC-SF).