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Plasma Reactor / Optimization

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Optimization Of Methane Conversion To Liquid Fuels Over W-Cu/Zsm-5 Catalysts By Response Surface Methodology, Istadi Istadi Nov 2008

Optimization Of Methane Conversion To Liquid Fuels Over W-Cu/Zsm-5 Catalysts By Response Surface Methodology, Istadi Istadi

Istadi

The conversion of methane to liquid fuels is still in the development process. The modified HZSM-5 by loading with Tungsten (W) enhanced its heat resistant performance, and the high reaction temperature (800 ◦C) did not lead to the loss of W component by sublimation. The loading of ZSM-5 with Tungsten and Copper (Cu) resulted in an increment in the methane conversion, CO2, andC5+ selectivities. The high methane conversion and C5+ selectivity, and low H2O selectivity are obtained by using W/3.0Cu/ZSM-5. The optimization of methane conversion over 3.0W/3.0Cu/ZSM-5 under different temperature and oxygen concentration using response surface methodology (RSM) are studied. …


Modelling And Optimization Of Catalytic-Dielectric Barrier Discharge Plasma Reactor For Methane And Carbon Dioxide Conversion Using Hybrid Artificial Neural Network – Genetic Algorithm Technique, Istadi, Nor Aishah Saidina Amin Aug 2007

Modelling And Optimization Of Catalytic-Dielectric Barrier Discharge Plasma Reactor For Methane And Carbon Dioxide Conversion Using Hybrid Artificial Neural Network – Genetic Algorithm Technique, Istadi, Nor Aishah Saidina Amin

Istadi

A hybrid Artificial Neural Network - Genetic Algorithm (ANN-GA) was developed to model, simulate and optimize the catalytic-dielectric barrier discharge plasma reactor. Effects of CH4/CO2 feed ratio, total feed flow rate, discharge voltage and reactor wall temperature on the performance of the reactor was investigated by the ANN-based model simulation. Pareto optimal solutions and the corresponding optimal operating parameter range based on multi-objectives can be suggested for two cases, i.e. simultaneous maximization of CH4 conversion and C2+ selectivity (Case 1), and H2 selectivity and H2/CO ratio (Case 2). It can be concluded that the hybrid catalytic-dielectric barrier discharge plasma reactor …


Optimization Of Process Parameters And Catalyst Compositions In Carbon Dioxide Oxidative Coupling Of Methane Over Cao–Mno/Ceo2 Catalyst Using Response Surface Methodology, Istadi Istadi, Nor Aishah Saidina Amin Aug 2007

Optimization Of Process Parameters And Catalyst Compositions In Carbon Dioxide Oxidative Coupling Of Methane Over Cao–Mno/Ceo2 Catalyst Using Response Surface Methodology, Istadi Istadi, Nor Aishah Saidina Amin

Istadi

The optimization of process parameters and catalyst compositions for the CO2 oxidative coupling of methane (CO2-OCM) reaction over CaO–MnO/CeO2 catalyst was developed using Response Surface Methodology (RSM). The relationship between the responses, i.e. CH4 conversion, C2 hydrocarbons selectivity or yield, with four independent variables, i.e. CO2/CH4 ratio, reactor temperature, wt.% CaO and wt.% MnO in the catalyst, were presented as empirical mathematical models. The maximum C2 hydrocarbons selectivity and yields of 82.62% and 3.93%, respectively, were achieved by the individual-response optimization at the corresponding optimal process parameters and catalyst compositions. However, the CH4 conversion was a saddle function and did …


Hybrid Artificial Neural Network-Genetic Algorithm Technique For Modeling And Optimization Of Plasma Reactor, Istadi, Nor Aishah Saidina Amin Aug 2006

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 Aug 2006

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 …


A Hybrid Numerical Approach For Multi-Responses Optimization Of Process Parameters And Catalyst Compositions In Co2 Ocm Process Over Cao-Mno/Ceo2 Catalyst, Istadi Istadi Aug 2005

A Hybrid Numerical Approach For Multi-Responses Optimization Of Process Parameters And Catalyst Compositions In Co2 Ocm Process Over Cao-Mno/Ceo2 Catalyst, Istadi Istadi

Istadi

A new hybrid numerical approach, using Weighted Sum of Squared Objective Functions (WSSOF) algorithm, was developed for multiresponses optimization of carbon dioxide oxidative coupling of methane (CO2 OCM). The optimization was aimed to obtain optimal process parameters and catalyst compositions with high catalytic performances. The hybrid numerical approach combined the single-response modeling and optimization using Response Surface Methodology (RSM) and WSSOF technique of multi-responses optimization. The hybrid algorithm resulted in Pareto-optimal solutions and an additional criterion was proposed over the solutions to obtain a final unique optimal solution. The simultaneous maximum responses of C2 selectivity and yield were obtained at …