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

被引：24

作者：

Dolores Duran, Ma. ^{[1
]}

Valdes, Manuel ^{[2
]}

Rovira, Antonio ^{[3
]}

Rincon, E. ^{[1
]}

机构：

[1] UAEM, Dept Ingn Mecan, Fac Ingn, Col Morelos 50130, Toluca, Mexico

[2] Univ Politecn Madrid, Dept Ingn Energet & Fluidomecan, ETS Ingenieros Ind, E-28006 Madrid, Spain

[3] Univ Nacl Educ Distancia, Dept Ingn Energet, E-28040 Madrid, Spain

来源：

APPLIED THERMAL ENGINEERING | 2013年 / 52卷 / 01期

关键词：

HRSG; CCGT; Thermal dsign; Thermoeconomic optimization; Genetic algorithms; TURBINE POWER-PLANTS; THERMOECONOMIC OPTIMIZATION;

D O I：

10.1016/j.applthermaleng.2012.10.041

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

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. (c) 2012 Elsevier Ltd. All rights reserved.

引用

页码：77 / 83

页数：7

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