Abstract
Gasification is a clean thermochemical process which converts carbon-based fuels into syngas. In this work, an artificial neural network model of heavy oil gasification under different gasifying agents was developed. Model was validated with the experimental data from literature. Effect of important parameters such as equivalence ratio and oxygen ratio (OR) on the higher heating value (HHV) of the produced syngas, gasification efficiency (GE), carbon conversion efficiency (CCE) was studied. With OR increasing from 0.366 to 0.41, GE and syngas HHV decreased, but CCE increased.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
