Optimization of hydrogen production via catalytic autothermal reforming of crude glycerol using response surface methodology and artificial neural network

Nwosu, Christian; Ayodele, Olumide Bolarinwa; Ibrahim, Hussameldin

doi:10.1002/er.7120

Cited by 12 publications

(5 citation statements)

References 38 publications

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“…RSM developed a polynomial model to describe and predict the data. It guarantees perfect interactions between the independent variables and no lack of fit related to surface curvature [107]. The second-order quadratic polynomial model may be defined using the following relation: In the context of complicated interactions, RSM may be used to assess the relative importance of various elements.…”

Section: Parameter Optimizationmentioning

confidence: 99%

Modeling and Optimization of a Compression Ignition Engine Fueled with Biodiesel Blends for Performance Improvement

et al. 2022

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Biodiesel is considered to be a promising alternative option to diesel fuel. The main contribution of the current work is to improve compression ignition engine performance, fueled by several biodiesel blends. Three metrics were used to evaluate the output performance of the compression ignition engine, as follows: brake torque (BT), brake specific fuel consumption (BSFC), and brake thermal efficiency (BTE), by varying two input parameters (engine speed and fuel type). The engine speeds were in the 1200–2400 rpm range. Three biodiesel blends, containing 20 vol.% of vegetable oil and 80 vol.% of pure diesel fuel, were prepared and tested. In all the experiments, pure diesel fuel was employed as a reference for all biodiesel blends. The experimental results revealed the following findings: although all types of biodiesel blends have low calorific value and slightly high viscosity, as compared to pure diesel fuel, there was an improvement in both BT and brake power (BP) outputs. An increase in BSFC by 7.4%, 4.9%, and 2.5% was obtained for palm, sunflower, and corn biodiesel blends, respectively, as compared to that of pure diesel. The BTE of the palm oil biodiesel blend was the lowest among other biodiesel blends. The suggested work strategy includes two stages (modeling and parameter optimization). In the first stage, a robust fuzzy model is created, depending on the experimental results, to simulate the output performance of the compression ignition engine. The particle swarm optimization (PSO) algorithm is used in the second stage to determine the optimal operating parameters. To confirm the distinction of the proposed strategy, the obtained outcomes were compared to those attained by response surface methodology (RSM). The coefficient of determination (R2) and the root-mean-square-error (RMSE) were used as comparison metrics. The average R2 was increased by 27.7% and 29.3% for training and testing, respectively, based on the fuzzy model. Using the proposed strategy in this work (integration between fuzzy logic and PSO) may increase the overall performance of the compression ignition engine by 2.065% and 8.256%, as concluded from the experimental tests and RSM.

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Section: Parameter Optimizationmentioning

confidence: 99%

Modeling and Optimization of a Compression Ignition Engine Fueled with Biodiesel Blends for Performance Improvement

et al. 2022

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“…Considering the varieties of biomass in Thailand, glycerol—a main by‐product of biodiesel production—becomes as an attractive resource for hydrogen production 3 . It was reported that the biodiesel production of 10 kg can provide 1 kg of crude glycerol 4 . When the production of biodiesel increases, a huge amount of glycerol can be expected in the future.…”

Section: Introductionmentioning

confidence: 99%

“…3 It was reported that the biodiesel production of 10 kg can provide 1 kg of crude glycerol. 4 When the production of biodiesel increases, a huge amount of glycerol can be expected in the future. Although glycerol can be utilized in many industries (eg, food, cosmetic, and pharmacy), an expensive purification unit is required.…”

mentioning

confidence: 99%

Performance assessment of a 10 kW pressurized solid oxide fuel cell integrated with glycerol supercritical water reforming

Patcharavorachot

Chatrattanawet

Saebea

et al. 2022

Intl J of Energy Research

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Summary In this work, the integrated system of pressurized solid oxide fuel cell (SOFC) and supercritical water reforming of glycerol was proposed. The syngas from the reforming process has high temperature and pressure and thus, it can be used as fuel for the SOFC. The performance of an integrated system was determined through the Aspen Plus simulator in which the electrochemical equations were also included. The developed model was employed to examine the performance of the integrated system with respect to the wider ranges of operation of the reformer and SOFC. In this work, the desired power output of an SOFC stack is set as 10 kW and thus, the area of an SOFC is determined. A smaller area is required as it normally leads to a lower fabrication cost for the SOFC. The simulation results revealed that the smallest SOFC area can be provided when the reformer is operated at 800°C and 240 atm with a ratio of supercritical water to glycerol as 50 whereas the SOFC operation is at 900°C and 4 atm with the current density as 7000 A/m2. Under these operating conditions, the integrated system can provide the cell voltage, required area, fuel utilization, and SOFC efficiency as 1 V, 1.42 m2, 75% and 61%, respectively. From the exergy analysis, it was found that the compressor, heater, and turbine are the highest exergy destruction units whereas the reformer has the lowest exergy destruction, followed by the SOFC stack.

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“…Typical hydrocarbon-reforming technologies are steam reforming (SR), autothermal reforming (ATR), and partial oxidation (POX) [22][23][24][25]. Wu Z et al [26] studied the methane steam reforming in grille-sphere composite packed bed, and the effect of the diameter distribution of particles in the packed bed reactor on the efficiency was investigated.…”

Section: Introductionmentioning

confidence: 99%

Hydrogen Production System through Dimethyl Ether Autothermal Reforming based on Model Predictive Control

Zhang¹,

Jung²,

Kim³

2022

Preprint

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The objective of this study is to design an optimal model predictive control (MPC) strategy using manipulated variables to control the production of a sufficient amount of hydrogen through low temperature autothermal reforming of dimethyl ether (DME), a reforming reaction performed using PdO/ZnO/γ-Al2O3 catalysts coated on honeycomb cordierite ceramics. Experiments and simulation have verified that the optimal activity temperature of the catalyst is 400 °C, and the hydrogen volume fraction in syngas is over 43%. In the implementation of the hydrogen production system, the MPC controller can precisely determine the feed rates of DME, high-purity air, and water based on the space state equation of the reformer, to achieve the anti-disturbance of the reformer temperature. Thus, the reduction of hydrogen yield and sintering of the catalyst as a result of overheating are prevented. As the static and dynamic performance of hydrogen production exhibits excellent tracking of the setpoints, an autonomous, automated, and reliable continuous system was designed to meet the desired hydrogen demand situation. This study shows that an autonomous, automated, and reliable continuous hydrogen production reforming system can be designed to actively respond to the on-board hydrogen usage situation.

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Optimization of hydrogen production via catalytic autothermal reforming of crude glycerol using response surface methodology and artificial neural network

Cited by 12 publications

References 38 publications

Modeling and Optimization of a Compression Ignition Engine Fueled with Biodiesel Blends for Performance Improvement

Modeling and Optimization of a Compression Ignition Engine Fueled with Biodiesel Blends for Performance Improvement

Performance assessment of a 10 kW pressurized solid oxide fuel cell integrated with glycerol supercritical water reforming

Hydrogen Production System through Dimethyl Ether Autothermal Reforming based on Model Predictive Control

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