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ผลงานตีพิมพ์ในวารสารวิชาการMulti-objective Optimization of Pelletized Coffee Silver Skin in Flue Gas Torrefaction for Producing Premium Solid Fuelผู้แต่ง: Dr.Kanit Manatura, Associate Professor ,  Klinkesorn, S., Chalermsinsuwan, B., Samsalee, N., Sutthipoj Wongrerkdee, Associate Professor , Dr.Kitipong Jaojaruek, Associate Professor , Pattiya, A., Li, J., วารสาร: 
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 ที่มา:The 16th International Annual Symposium on Computational Science and Engineeringหัวเรื่อง:Optimizing Application Cost and Time in Multilevel Cloud Provider Environment Using Genetic Algorithm |
 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. |
หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Optimal Coastal Gate Operation Method through Simulation-Optimization Approach) ผู้เขียน:ปกรณ์ ดิษฐกิจ, ดร.สุวัฒนา จิตตลดากร, ศาสตราจารย์เกียรติคุณ สื่อสิ่งพิมพ์:pdf AbstractCoastal gate refers to the water gate constructed in a coastal river basin. Initially, the main purpose of construction of this water control structure is to prevent saline water intrusion into upstream freshwater and also storage freshwater along the water by closing the water gates during the dry season. Nevertheless, the water gate cannot be permanently closed due to the requirement of environmental flow which provides the critical contributions to river health, economic development and poverty alleviation. Therefore, it is necessary to develop a methodology for appropriately operating the coastal gate, which corresponds to various objectives of water resources management system simultaneously. In this paper, the methodology for planning optimal coastal gate opening serving several desired state variables through simulation-optimization approach is presented. The Differential Evolution (DE) approach and River Operation Model (ROM) are applied herein as the optimization and simulation model, respectively. The developed method was then applied to the problem of coastal gate operations in Pak Phanang River Basin (PPRB), which mainly covers the area in Nakhon Si Thammarat province, the southern part of Thailand. The results illustrated that the purposed model can be used as decision support model for management of optimal coastal gate operations under several environmental, ecological and hydraulic conditions. |
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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: |