Parameter optimization of heat recovery steam generators by using genetic algorithms

被引:0
|
作者
Zhou, Quan [1 ]
Zhu, Xiao-Liang [1 ]
机构
[1] Faculty of Power Engineering, South-East University, Nanjing 210096, China
来源
Dongli Gongcheng/Power Engineering | 2005年 / 25卷 / 04期
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摘要
Making use of the Genetic Algorithm theory, an optimization model for heat recovery steam generators of combined cycle power plants is being suggested, accompanied by a practical example concerning a certain type of gas turbine. Results show that optimized design parameters can be obtained with the above mentioned calculation model, which may maximize the economic benefit of the relevant combined cycle power plant.
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页码:513 / 516
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