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A methodology for the geometric design of heat recovery steam generators applying genetic algorithms

机译:应用遗传算法进行热回收蒸汽发生器几何设计的方法

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This paper shows how the geometric design of heat recovery steam generators (HRSG) can be achieved. The method calculates the product of the overall heat transfer coefficient (U) by the area of the heat exchange surface (A) as a function of certain thermodynamic design parameters of the HRSG. A genetic algorithm is then applied to determine the best set of geometric parameters which comply with the desired UA product and, at the same time, result in a small heat exchange area and low pressure losses in the HRSG. In order to test this method, the design was applied to the HRSG of an existing plant and the results obtained were compared with the real exchange area of the steam generator. The findings show that the methodology is sound and offers reliable results even for complex HRSG designs.
机译:本文展示了如何实现热回收蒸汽发生器(HRSG)的几何设计。该方法根据HRSG的某些热力学设计参数来计算总传热系数(U)乘以热交换表面(A)的面积的乘积。然后,应用遗传算法确定符合所需UA产品的最佳几何参数集,同时导致HRSG中的热交换面积小和压力损失小。为了测试该方法,将该设计应用于现有工厂的HRSG,并将获得的结果与蒸汽发生器的实际交换面积进行比较。研究结果表明,该方法是合理的,即使对于复杂的HRSG设计也可提供可靠的结果。

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