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 หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Optimal Operation of Tubular Solid Oxide Fuel Cell Based on Efficiency and Environmental Impact) ผู้เขียน: Kittisak Kosaksri, Meena Jongjitjaroen,  ดร.ธงไชย โรหิตะดิษฐ ศรีนพคุณ, ศาสตราจารย์ , Michael W. Fowler, Eric Croiset สื่อสิ่งพิมพ์:pdf AbstractSolid oxide fuel cell (SOFC) technology dominates other fuel cell technologies because it is a highly efficient form of electric energy generation from natural gas, with both simple fuel cell plants and with integrated cogeneration power plants. This study proposed a tubular SOFC stack with methane gas feeding, internal reforming of hydrocarbons and internal air preheating. To achieve this goal, ‘optimal’ operating conditions for enhanced unit performance were identified. Thus, the genetic algorithm (GA) technique with the min-max method was employed to perform a multi-objective optimization on the unit performance. Simultaneous maximization of efficiency and minimization of environmental impact were considered as the two objective functions. Pareto-optimal sets of operating conditions were successfully obtained by GA with the min-max method for different process conditions and were used to achieve the effective operation of a tubular SOFC stack power generator with the diameter, the thickness of the cathode, anode and electrode, and the length being 22.0 ? 10-3, 2.0 ? 10-3, 1.0 ? 10-4, 4.0 ? 10-5 and 1.5 m, respectively. The fixed current density model produced the optimal solution with 75.52% efficiency and 16.35 ? 10-2 g.s-1.kW and an environmental impact score of 221.28 kW. The fixed outlet temperature option prodcued 50.41% system efficiency, 31.15 ? 10-2 g.s-1.kW and an environmental impact score of 38.22 kW. |
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ผลงานตีพิมพ์ในวารสารวิชาการAutomated Quantization and Retraining for Neural Network Models Without Labeled Dataผู้แต่ง:Kundjanasith Thonglek, KEICHI TAKAHASHI, Kohei Ichikawa, Mr.Chawanat Nakasan, Lecturer , HIDEMOTO NAKADA, RYOUSEI TAKANO, Dr.Pattara Leelaprute, Associate Professor , HAJIMU IIDA, วารสาร:  
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ผลงานตีพิมพ์ในวารสารวิชาการApplication of computational fluid dynamics and response surface methodology in downdraft gasification using multiple biomass pelletsผู้แต่ง:Ngamsidhiphongsa, N., Dr.Phantisa Limleamthong, Assistant Professor, Chalermsinsuwan, B., Prasertcharoensuk, P., Wiyaratn, W., Arpornwichanop, A., วารสาร: |
ผลงานตีพิมพ์ในวารสารวิชาการA Comparative Study of State-of-the-art Metaheuristics for Solving Many-objective Optimization Problems of Fixed Wing Unmanned Aerial Vehicle Conceptual Designผู้แต่ง:Anosri, S., Panagant, N., Champasak, P., Bureerat, S., Dr.Chinnapat Thipyopas, Assistant Professor , Kumar, S., Pholdee, N., Yฤฑldฤฑz, B.S., Yildiz, A.R., วารสาร: |
 ที่มา:The 16th International Annual Symposium on Computational Science and Engineeringหัวเรื่อง:Optimizing Application Cost and Time in Multilevel Cloud Provider Environment Using Genetic Algorithm |
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