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Predictive Modeling and Optimization of Biogas Reforming and Proton-Conducting SOFCs Integrated System
(2025-01-01)
Patcharavorachot, Yaneeporn
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Saebea, Dang
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Arpornwichanop, Amornchai
In this study, the power generation performance of a proton-conducting solid oxide fuel cell (H-SOFC) integrated with biogas steam reforming is investigated to determine the optimal operating conditions. The system design and process simulation are carried out using Aspen Plus. The effects of three key operating parameters - reformer temperature, steam-to-biogas (S/C) molar ratio, and SOFC operating temperature - on electrical performance and CO emissions are examined. Predictive modeling is developed using a Regression Tree to capture the relationship between input parameters and performance indicators. Subsequently, a Genetic Algorithm (GA) is employed to identify the optimal operating conditions that maximize power output and SOFC efficiency while minimizing CO emissions. The results indicate that the optimal reformer temperature is 1024.26 K with an S/C ratio of 1.5, and the H-SOFC should operate at 1024.53 K, yielding a power output of 427.60 kW, an SOFC efficiency of 43.53%, and CO<inf>2</inf> emissions of 226.62 g/kWh. This demonstrates that the integrated system provides a highly efficient and low-carbon power generation solution.
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Performance analysis and optimization of a trigeneration process consisting of a proton-conducting solid oxide fuel cell and a LiBr absorption chiller
(2023-02-28)
Sornumpol, Ratikorn
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Arpornwichanop, Amornchai
;
Patcharavorachot, Yaneeporn
In this work, the trigeneration system, consisting of a proton-conducting solid oxide fuel cell (SOFC–H+) and a single-stage LiBr absorption chiller, was proposed. The SOFC–H+ and single-stage LiBr absorption chiller models were developed through Aspen Plus V10. From the sensitivity analysis, the results show that increases in temperature and fuel utilization can improve the performance of the SOFC–H+. Conversely, the air to fuel (A/F) molar ratio and pressure negatively affect the electrical efficiency and overall system efficiency. In the case of the absorption chiller, the coefficient of performance was increased and made stable according to a constant value when the generator temperature was increased from 90 to 100 °C. When the optimization was performed, it was found that the SOFC–H+ should be operated at 700 °C and 10 bar with fuel utilization of 0.8 and A/F molar ratio of 2 to achieve a maximum overall efficiency of 93.34%. For the energy and exergy analysis, a combined heat and power SOFC–H+ was found to have the highest energy and exergy efficiencies, followed by the trigeneration process. This indicates that the integration of the SOFC–H+ and LiBr absorption chiller is possible to efficiently produce electricity, heating and cooling.
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Modeling and optimization of proton-conducting solid oxide electrolysis cell: Conversion of CO2 into value-added products
(2016-11-01)
Namwong, Lawit
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Authayanun, Suthida
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Saebea, Dang
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Patcharavorachot, Yaneeporn
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Arpornwichanop, Amornchai
Proton-conducting solid oxide electrolysis cells (SOEC-H+) are a promising technology that can utilize carbon dioxide to produce syngas. In this work, a detailed electrochemical model was developed to predict the behavior of SOEC-H+ and to prove the assumption that the syngas is produced through a reversible water gas-shift (RWGS) reaction. The simulation results obtained from the model, which took into account all of the cell voltage losses (i.e., ohmic, activation, and concentration losses), were validated using experimental data to evaluate the unknown parameters. The developed model was employed to examine the structural and operational parameters. It is found that the cathode-supported SOEC-H+ is the best configuration because it requires the lowest cell potential. SOEC-H+ operated favorably at high temperatures and low pressures. Furthermore, the simulation results revealed that the optimal S/C molar ratio for syngas production, which can be used for methanol synthesis, is approximately 3.9 (at a constant temperature and pressure). The SOEC-H+ was optimized using a response surface methodology, which was used to determine the optimal operating conditions to minimize the cell potential and maximize the carbon dioxide flow rate.
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Using a membrane reactor for the oxidative coupling of methane: Simulation and optimization
(2014-01-01)
Patcharavorachot, Yaneeporn
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Tiraset, Sirikarn
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Wiyaratn, Wisitsree
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Assabumrungrat, Suttichai
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Arpornwichanop, Amornchai
An oxidative coupling of methane (OCM) is a promising process to convert methane into ethylene and ethane; however, it suffers from the relatively low selectivity and yield of ethylene at high methane conversion. In this study, a membrane reactor is applied to the OCM process in order to prevent the deep oxidation of a desirable ethylene product. The mathematical model of OCM process based on mass and energy balances coupled with detailed OCM kinetic model is employed to examine the performance of OCM membrane reactor in terms of CH<inf>4</inf> conversion, C<inf>2</inf> selectivity, and C<inf>2</inf> yield. The influences of key operating parameters (i.e., temperature, methane-to-oxygen feed ratio, and methane flow rate) on the OCM reactor performance are further analyzed. The simulation results indicate that the OCM membrane reactor operated at higher operating temperature and lower methane-to-oxygen feed ratio can improve C<inf>2</inf> production. An optimization of the OCM membrane reactor using a surface response methodology is proposed in this work to determine its optimal operating conditions. The central composite design is used to study the interaction of process variables (i.e., temperature, methane-to-oxygen feed ratio, and methane flow rate) and to find the optimum process operation to maximize the C<inf>2</inf> products yield.

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