International Scientific Journal


The main purpose of this study is to enhance the performance of solid oxide fuel cell systems. For this purpose, a mathematical model of a direct internal reforming (DIR) methane-fed solid oxide fuel cell system with waste heat recovery was designed in the engineering equation solver program. We optimised the performance of the solid oxide fuel cell using a genetic algorithm and TOPSIS technique considering exergy, power, and environmental analyzes. An ANN working with the Levenberg-Marquardt training function was designed in the MATLprogram to create the decision matrix to which the TOPSIS method will be applied. According to the power optimization, 786 kW net power was obtained from the system. In exergetic optimization, the exergy efficiency was found to be 57.6%. In environmental optimization, the environmental impact was determined as 330.6 kgCO2/MWh. According to the multi-objective optimization results, the exergy efficiency, the net power of the solid oxide fuel cell system, and the environmental impact were 504.1 kW, 40.08%, and 475.4 kgCO2/MWh.
PAPER REVISED: 2023-05-05
PAPER ACCEPTED: 2023-06-10
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THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 4, PAGES [3413 - 3422]
  1. Stambouli, A. B., Fuel cells: The Expectations for an Environmental-Friendly and Sustainable Source of Energy, Renewable and Sustainable Energy Reviews, 15 (2011), 9, pp. 4507-4520
  2. Singh, M., et al., Solid Oxide Fuel Cell: Decade of Progress, Future Perspectives and Challenges, International Journal of Hydrogen Energy, 46 (2021), 54, pp. 27643-27674
  3. Hussain, S., Yangping, L., Review of Solid Oxide Fuel Cell Materials: Cathode, Anode, and Electrolyte, Energy Transit, 4 (2020), Oct., pp. 113-126
  4. Raza, T., et al., Recent Advance in Physical Description and Material Development for Single Component SOFC: A mini-review, Chemical Engineering Journal, 444 (2022), Sept., 136533
  5. Song, S., et al., Modeling the SOFC by BP Neural Network Algorithm, International Journal of Hydrogen Energy, 46 (2021), 38, pp. 20065-20077
  6. Diaz-Aburto, I., et al., Mo, Cu-doped CeO2 as Anode Material of Solid Oxide Fuel Cells (SOFC) using Syngas as Fuel, J. Electrochem. Sci. Technol, 12 (2023), 2, pp. 246-256
  7. Chen, X., et al., Artificial Neural Network Modeling and Optimization of the Solid Oxide Fuel Cell Parameters using Grey Wolf Optimiser, Energy Reports, 7 (2021), Nov., pp. 3449-3459
  8. Zhang, M., et al., An Optimal Model Identification for Solid Oxide Fuel Cell Based on Extreme Learning Machines Optimised by improved Red Fox Optimization Algorithm, International Journal of Hydrogen Energy, 46 (2021), 55, pp. 28270-28281
  9. Subotić, V., et al., Artificial Intelligence for Time-Efficient Prediction and Optimization of Solid Oxide Fuel Cell Performances, Energy Conversion and Management, 230 (2021), Feb., 113764
  10. Song, M., et al., Thermodynamic Performance Assessment of SOFC-RC-KC System for Multiple Waste Heat Recovery, Energy Conversion and Management, 245 (2021), Oct., 114579
  11. Bai, Q., Li, H., The Application of Hybrid Cuckoo Search-Grey Wolf Optimization Algorithm in Optimal Parameters Identification of Solid Oxide Fuel Cell, International Journal of Hydrogen Energy, 47 (2022), 9, pp. 6200-6216
  12. Yousri, D., et al., Parameters Identification of Solid Oxide Fuel Cell for Static and Dynamic Simulation using Comprehensive Learning Dynamic Multi-Swarm Marine Predators Algorithm, Energy Conversion and Management, 228 (2021), Jan., 113692
  13. Wu, X., et al., Temperature Gradient Control of a Solid Oxide Fuel Cell Stack, Journal of Power Sources, 414 (2019), Feb., pp. 345-353
  14. Colpan, C. O., et al., Thermodynamic Modeling of Direct Internal Reforming Solid Oxide Fuel Cells Operating with Syngas, International Journal of Hydrogen Energy, 32 (2007), 7, pp. 787-795
  15. Li, H., Carbon Deposition on Ni/YSZ anode SOFC for Direct Methane Steam Reforming, Graduate Theses, Dissertations, and Problem Reports, 4070, West Virginia University, Morgantown, West Virginia, 2019
  16. Ranjbar, F., et al., Energy and Exergy Assessments af a Novel Trigeneration System Based on a Solid Oxide Fuel Cell, Energy Conversion and Management, 87 (2014), Nov., pp. 318-327
  17. Chan, S. H., et al., Modelling of Simple Hybrid Solid Oxide Fuel Cell and Gas Turbine Power Plant, Journal of Power Sources, 109 (2002), 1, pp. 111-120
  18. Chitsaz, A., et al., Effect of Recycling on The Thermodynamic and Thermoeconomic Performances of SOFC Based on Trigeneration Systems; A comparative study, Energy, 124 (2017), Apr., pp. 613-624
  19. Chitgar, N., et al., Investigation of a Novel Multigeneration System Driven by a SOFC for Electricity and Fresh Water Production, Energy Conversion and Management, 196 (2019), Sept., pp. 296-310
  20. Javed, A., et al., A Comparison of the Exergy Efficiencies of Various Heat-Integrated Distillation Columns, Energies, 15 (2022), 18, 6498
  21. Vojdani, M., et al., A Novel Triple Pressure HRSG Integrated with MED/SOFC/GT for Cogeneration of Electricity and Freshwater: Techno-Economic-Environmental Assessment, and Multi-Objective Optimization, Energy Conversion and Management, 233 (2021), Apr., 113876
  22. Han, X., et al., Thermodynamic Analysis and Life Cycle Assessment of Supercritical Pulverised Coal-Fired Power Plant Integrated with No. 0 Feedwater Pre-Heater under Partial Loads, Journal of Cleaner Production, 233 (2019), Oct., pp. 1106-1122
  23. Mojaver, P., et al., Multi-Objective Optimization of a Power Generation System Based SOFC using Taguchi/AHP/Topsis Triple Method, Sustainable Energy Technologies and Assessments, 38 (2020), Apr., 100674
  24. Tao, G., et al., Intermediate Temperature Solid Oxide Fuel Cell (IT-SOFC) Research and Development Activities at MSRI, Proceedings, Nineteenth Annual ACERC and ICES Conference, Provo, U., USA, 2005

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