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Hybrid Artificial Neural Network-Genetic Algorithm Technique For Modeling And Optimization Of Plasma Reactor, Istadi, Nor Aishah Saidina Amin
Hybrid Artificial Neural Network-Genetic Algorithm Technique For Modeling And Optimization Of Plasma Reactor, Istadi, Nor Aishah Saidina Amin
Istadi
A hybrid artificial neural network-genetic algorithm (ANN-GA) numerical technique was successfully developed to model, to simulate, and to optimize a dielectric barrier discharge (DBD) plasma reactor without catalyst and heating. Effects of CH4/CO2 feed ratio, total feed flow rate, and discharge voltage on the performance of noncatalytic DBD plasma reactor were studied by an ANN-based simulation with a good fitting. From the multiobjectives optimization, the Pareto optimal solutions and corresponding optimal process parameter ranges resulted for the noncatalytic DBD plasma reactor owing to the optimization of three cases, i.e., CH4 conversion and C2+ selectivity, CH4 conversion and C2+ yield, and …
Co-Generation Of Synthesis Gas And C2c Hydrocarbons From Methane And Carbon Dioxide In A Hybrid Catalytic-Plasma Reactor: A Review, Istadi, Nor Aishah Saidina Amin
Co-Generation Of Synthesis Gas And C2c Hydrocarbons From Methane And Carbon Dioxide In A Hybrid Catalytic-Plasma Reactor: A Review, Istadi, Nor Aishah Saidina Amin
Istadi
The topics on conversion and utilization of methane and carbon dioxide are important issues in tackling the global warming effects from the two greenhouse gases. Several technologies including catalytic and plasma have been proposed to improve the process involving conversion and utilization of methane and carbon dioxide. In this paper, an overview of the basic principles, and the effects of CH4/CO2 feed ratio, total feed flow rate, discharge power, catalyst, applied voltage, wall temperature, and system pressure in dielectric-barrier discharge (DBD) plasma reactor are addressed. The discharge power, discharge gap, applied voltage and CH4/CO2 ratio in the feed showed the …