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首页> 外文期刊>International Journal of Thermal Sciences >Single and multi-objective optimizations of rotary regenerative air preheater for coal-fired power plant considering the ammonium bisulfate deposition
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Single and multi-objective optimizations of rotary regenerative air preheater for coal-fired power plant considering the ammonium bisulfate deposition

机译:考虑氨基硫酸铵沉积的燃煤发电厂旋转再生空气预热器的单个和多目标优化

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摘要

Although much work has been done on the optimization of the recuperative heat exchangers, little attention has been paid to the optimization of rotary regenerative air preheater (RAPH) in coal-fired power plants. It is known that the ammonium bisulfate deposition (ABS) can adversely affect the safe operation of RAPH, so an improved Radian number was proposed to estimate the impact of ABS in the optimization of RAPH. The thermal hydraulic calculation program integrated with genetic algorithms was developed to conduct optimizations of RAPH. The design parameters included rotor radius, each fluid sector angle and each matrix layer height. The multi-objective optimization was carried out to maximize the effectiveness and to minimize the pressure drop from the perspective of users, while the single-objective optimization was performed to minimize the weight of the heat transfer elements from the perspective of manufacturers. The improved Radian number is more reasonable to reflect the ABS deposition compared with the original Radian number. The designer can estimate the ABS deposition status using the improved Radian number not only in the operating process but also in the design process of RAPH. The range of optimal solution becomes smaller but the rank of the Pareto solution stays unchanged with the decrease in the restriction of improved Radian number. The optimization with larger rotor radius restriction could obtain better Pareto results. The total weight of heat transfer elements could be reduced by at least 26.5% compared with that of the original design by using genetic algorithm.
机译:虽然已经在恢复热交换器的优化方面做了很多工作,但是在燃煤发电厂中的旋转再生空气预热器(RAPH)的优化时已经注意到了很少的关注。众所周知,双硫酸铵沉积(ABS)可能对雷斐的安全操作产生不利影响,因此提出了一种改进的弧度数来估计ABS在raph的优化中的影响。开发了与遗传算法集成的热液压计算程序以进行raph的优化。设计参数包括转子半径,每个流体扇区角度和每个矩阵层高度。进行多目标优化以最大限度地提高效果,并从用户的角度最小化压降,而进行单目标优化以使热传递元件的重量从制造商的角度最小化。与原始弧度数相比,改进的弧度数更合理地反映ABS沉积。设计人员可以使用不仅在操作过程中的改进的弧度数来估计ABS沉积状态,而且可以在Raph的设计过程中估算ABS沉积状态。最佳溶液的范围变小,但帕累托溶液的等级保持不变,随着改善的弧度数的限制而保持不变。具有较大转子半径限制的优化可以获得更好的Pareto结果。通过使用遗传算法与原始设计相比,传热元件的总重量可以减少至少26.5%。

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