“…Catalytic PO is an exothermic reaction that can be coupled with an endothermic reaction to produce a valuable product. The catalytic PO's exothermic properties enable the utilization of a more compact reactor design and accelerate the initiation of reactions, presenting an encouraging advancement in technology 9 , 11 .…”
Section: Introductionmentioning
confidence: 99%
“…1 ). The increased fraction of fully oxidized DME also helps lower the amount of carbon monoxide (CO), which improves the performance of fuel cells 11 , 12 . Figure 1 H 2 production from DME SR and PO.…”
This study aims to develop two models for thermodynamic data on hydrogen generation from the combined processes of dimethyl ether steam reforming and partial oxidation, applying artificial neural networks (ANN) and response surface methodology (RSM). Three factors are recognized as important determinants for the hydrogen and carbon monoxide mole fractions. The RSM used the quadratic model to formulate two correlations for the outcomes. The ANN modeling used two algorithms, namely multilayer perceptron (MLP) and radial basis function (RBF). The optimum configuration for the MLP, employing the Levenberg–Marquardt (trainlm) algorithm, consisted of three hidden layers with 15, 10, and 5 neurons, respectively. The ideal RBF configuration contained a total of 80 neurons. The optimum configuration of ANN achieved the best mean squared error (MSE) performance of 3.95e−05 for the hydrogen mole fraction and 4.88e−05 for the carbon monoxide mole fraction after nine epochs. Each of the ANN and RSM models produced accurate predictions of the actual data. The prediction performance of the ANN model was 0.9994, which is higher than the RSM model's 0.9771. The optimal condition was obtained at O/C of 0.4, S/C of 2.5, and temperature of 250 °C to achieve the highest H2 production with the lowest CO emission.
“…Catalytic PO is an exothermic reaction that can be coupled with an endothermic reaction to produce a valuable product. The catalytic PO's exothermic properties enable the utilization of a more compact reactor design and accelerate the initiation of reactions, presenting an encouraging advancement in technology 9 , 11 .…”
Section: Introductionmentioning
confidence: 99%
“…1 ). The increased fraction of fully oxidized DME also helps lower the amount of carbon monoxide (CO), which improves the performance of fuel cells 11 , 12 . Figure 1 H 2 production from DME SR and PO.…”
This study aims to develop two models for thermodynamic data on hydrogen generation from the combined processes of dimethyl ether steam reforming and partial oxidation, applying artificial neural networks (ANN) and response surface methodology (RSM). Three factors are recognized as important determinants for the hydrogen and carbon monoxide mole fractions. The RSM used the quadratic model to formulate two correlations for the outcomes. The ANN modeling used two algorithms, namely multilayer perceptron (MLP) and radial basis function (RBF). The optimum configuration for the MLP, employing the Levenberg–Marquardt (trainlm) algorithm, consisted of three hidden layers with 15, 10, and 5 neurons, respectively. The ideal RBF configuration contained a total of 80 neurons. The optimum configuration of ANN achieved the best mean squared error (MSE) performance of 3.95e−05 for the hydrogen mole fraction and 4.88e−05 for the carbon monoxide mole fraction after nine epochs. Each of the ANN and RSM models produced accurate predictions of the actual data. The prediction performance of the ANN model was 0.9994, which is higher than the RSM model's 0.9771. The optimal condition was obtained at O/C of 0.4, S/C of 2.5, and temperature of 250 °C to achieve the highest H2 production with the lowest CO emission.
“…It can contain one or more of the following: N 2 , CO 2 , CH 4 , C x H y , and C x H y O z . SG is formed by the following processes: (i) partial oxidation [7,8]; (ii) wet reforming [9][10][11]; (iii) dry reforming [12][13][14]; (iv) autothermal reforming [15,16]; (v) hydrothermal gasification [17][18][19]; (vi) pyrolysis, or partial combustion, carbonization, or gasification [20][21][22][23]. SG can be manufactured from any carbonaceous (organic) material, including municipal waste.…”
In this study, a continuous flow of a synthetic, dry, and acidic waste synthesis gas (WSG) (containing N2, H2, CO, CH4, and CO2) at ambient temperatures was first passed through a fixed bed reactor (FBR) containing halite + m-Fe0 and then a saline bubble column diffusion reactor (BCDR) containing m-Fe0. The FBR converted 47.5% of the CO + CH4 + CO2 into n-C0. Passage of the n-C0 into the BCDR resulted in the formation of the desalination catalyst (Fe0:Fe(a,b,c)@C0) + CH4 + CO + CO2 + CxHy, where 64% of the feed n-C0 was converted to gaseous products. The desalination pellets can remove >60% of the water salinity without producing a reject brine or requiring an external energy source. The gaseous products from the BCDR included: CxHy (where x < 6), CO, CO2, and H2.
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