Modeling of combined MCFC/Gas turbine plant based on least square support vector machines

被引：0
|
作者：
Chen, Yue-Hua [1 ]
Cao, Guang-Yi [1 ]
Weng, Yi-Wu [2 ]
机构：
[1] Inst. of Fuel Cell, Shanghai Jiaotong Univ., Shanghai 200240, China
[2] Key Lab. of Power Machinery and Eng., Shanghai Jiaotong Univ., Shanghai 200240, China
来源：
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2007年 / 41卷 / 05期
关键词：
Air - Algorithms - Carbonates - Combustors - Computer simulation - Estimation - Fuel cells - Molten carbonate fuel cells (MCFC) - Support vector machines - Temperature;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The factors which affect the operating temperature of combined molten carbonate fuel cell (MCFC)/gas turbine (GT) plant mostly were analyzed, the flowrate of fuel and air was chosen to control the operating temperature of MCFC; the fuel utilization and fuel flowrate to combustor were chosen to control the turbine inlet temperature. The least square support vector machines (LS-SVM) algorithm for function estimation was put forward and applied to set up models of the combined system. The simulation result shows that the proposed modeling method has high accuracy and computes fast.
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页码：774 / 777
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