Optimization of compact heat exchangers by a genetic algorithm

Xie, Gongnan; Sundén, Bengt; Wang, Qiuwang

doi:10.1016/j.applthermaleng.2007.07.008

Cited by 213 publications

(77 citation statements)

References 20 publications

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“…The genetic algorithm is a powerful tool to address the multi-variable optimization problems. Recently the application of genetic algorithm on thermal engineering has received much attention [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Optimization design of shell-and-tube heat exchanger by entropy generation minimization and genetic algorithm

Guo

Cheng

2009

Applied Thermal Engineering

141

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Section: Introductionmentioning

confidence: 99%

Optimization design of shell-and-tube heat exchanger by entropy generation minimization and genetic algorithm

Guo

Cheng

2009

Applied Thermal Engineering

141

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“…Genetic Algorithm (GA) based on evolutionary global search technique is particularly suitable for such problems [11]. Genetic algorithm has been applied successfully for the optimum design of different thermal systems and components namely convectively cooled electronic components [12] and cooling channels [13], fin profiles [14], finned surface and finned annular ducts [15], compact high performance coolers [11], shell and tube heat exchangers [10] and compact plate-fin heat exchangers [16]. Further, optimisation of crossflow plate-fin heat exchangers have been done by minimising total annual cost [17] and total thermoeconomic cost [18] of the exchanger.…”

Section: Introductionmentioning

confidence: 99%

Second law based optimisation of crossflow plate-fin heat exchanger design using genetic algorithm

Mishra

Das

Sarangi

2009

Applied Thermal Engineering

138

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“…Sobre la base de la superficie total del intercambiador de calor (A), la longitud del tubo necesaria (L) es, (19) Prt es el número de Prandtl en el lado del tubo y está dado por, (20) Donde es la conductividad térmica del fluido (dato). El número de Reynolds para el lado de la coraza es: (25) El número de Prandtl para el lado de la coraza es: (26) La velocidad de flujo para el lado de la coraza se puede obtener a partir de [31].…”

Section: Iv1 Lado Del Tubounclassified

Minimizing the of shell and tube heat exchangers cost using evolutionary algorithms

Rodríguez¹,

Rodríguez²,

León³

et al. 2015

ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)

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Shell and Tube Heat exchangers (STHEs) are the most common type of heat exchangers. They are applied in numerous industrial installations. The minimization of the costs of these heat exchangers is a key goal for both designers and users. The design of this type of heat exchanger involves complex processes, including selection of the geometrical and operating parameters. The traditional design approach of Shell and Tube Heat Exchangers consists of the evaluation of a number of different exchanger geometries to identify those satisfying a requirement of heat and a set of geometric and operational constraints. However, this approach is slow, inaccurate and does not guarantee an optimal solution. In this paper, different evolutionary algorithms to optimize STHEs economically are analyzed and applied, including the particle swarm optimization, genetic algorithms and mixed ant colony optimization, this last one developed by the authors. As objective function the minimization of total annual cost was considered. For optimization were considered as independent design variables the inside diameter of the shell, the outer pipe diameter and spacing between the baffles. They were also considered for optimizing two patterns or arrangements of tubes, in a triangle and a square. An example of three case studies of optimization of heat exchanger is presented. The results of the optimization using the mixed ant colony technique are compared with those obtained using particle swarm and genetic algorithms.Key words: Heat exchangers, optimization, evolutive algorithms, ant colony.Minimización del costo de los intercambiadores de calor de tubo y coraza mediante algoritmos evolutivos RESUMEN Los intercambiadores de calor de tubo y coraza (ICTC) son el tipo más común de los intercambiadores de calor. Los mismos se aplican en numerosas instalaciones industriales. La minimización de los costes de estos intercambiadores de calor es un objetivo clave tanto para los diseñadores como para los usuarios. El diseño del intercambiador de calor implica procesos complejos, incluyendo la selección de los parámetros geométricos y parámetros de funcionamiento. El enfoque tradicional de diseño para los intercambiadores de calor de tubo y coraza consiste en la evaluación de un determinado número de geometrías diferentes del intercambiador para identificar aquellas que satisfacen un requerimiento de calor y un conjunto de restricciones geométricas y operacionales. Sin embargo, este enfoque es lento, poco preciso y no garantiza una solución óptima. En el presente trabajo se analizan y aplican diferentes algoritmos evolutivos para optimizar económicamente los mismos, entre ellos la optimización con enjambre de partículas, por algoritmos genéticos y por colonia de hormigas mixto, este último desarrollado por los autores. Como función objetivo se consideró la minimización del costo total anual. Para la optimización se consideraron como variables independientes de diseño el diámetro interior de la coraza, el diámetro exterior del tubo y el espaciami...

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Optimization of compact heat exchangers by a genetic algorithm

Cited by 213 publications

References 20 publications

Optimization design of shell-and-tube heat exchanger by entropy generation minimization and genetic algorithm

Optimization design of shell-and-tube heat exchanger by entropy generation minimization and genetic algorithm

Second law based optimisation of crossflow plate-fin heat exchanger design using genetic algorithm

Minimizing the of shell and tube heat exchangers cost using evolutionary algorithms

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