Optimal heat exchanger network synthesis with the detailed heat transfer equipment design

Ravagnani, Mauro A.S.S.; Caballero, José A.

doi:10.1016/j.compchemeng.2006.12.005

Cited by 65 publications

(32 citation statements)

References 23 publications

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“…For the problem solution, an algorithm similar to the stage-wise superstructure representation of Yee and Grossmann (1990) and also used for Ravagnani and Caballero (2007) is proposed to find the minimum global annual cost, comprising area and utilities costs. Stream splitting is considered in the HEN synthesis model.…”

Section: Problem Definitionmentioning

confidence: 99%

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Optimal heat exchanger network synthesis using particle swarm optimization

et al. 2009

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Heat exchanger network (HEN) synthesis has been a well-studied subject over the past decades. Many studies and methodologies were proposed to make possible the energy recovery, minimizing the utilities consumption and the number of heat transfer equipment.Most of papers published in this subject are based on Pinch Analysis and mathematical programming. Some recent papers use meta-heuristic techniques like Genetic Algorithms or Simulated Annealing to solve the HEN synthesis problem and good results are found but with large computational effort.In this paper an optimization model for the synthesis of HEN is proposed. The approach is based on the use of Particle Swarm Optimization to determine the HEN that minimizes the total annualized cost, accounting for capital costs of heat exchangers and the energy costs for utilities and pumping duties. The algorithm is based on a superstructure simultaneous optimization model for the HEN synthesis considering stream splitting. Some examples from the literature were used to show the application of the proposed algorithm, and the results confirm the achievement of the optimum HEN configuration with little computational effort.

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Section: Problem Definitionmentioning

confidence: 99%

“…A model similar to the proposed by Yee and Grossmann (1990) and Ravagnani and Caballero (2007) for the HEN synthesis is used. It is based on a stage-wise superstructure representation, considering stream splitting and constant heat transfer coefficients.…”

Section: Introductionmentioning

confidence: 99%

Optimal heat exchanger network synthesis using particle swarm optimization

et al. 2009

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“…The results indicated that the heat transfer coefficient of the inner tube was larger than that of the outer tube and the heat transfer rate was the highest when heat transfer rates of both sides of the annuli were equal. As to heat exchanger optimization, some researchers chose the sum of investment and optional costs, which were related to heat transfer area and fluid head loss respectively, as objective function (Fesanghary et al, 2009;Ponce-Ortega et al, 2009;Ravagnani and Caballero, 2007), some researchers chose the cost of heat transfer surface area or capital investment as objective function (Costa and Queiroz, 2008;Rao et al, 1991), and some others chose the sum of entropy generation of stream as objective function (Bejan et al, 1996;Johannessen et al, 2002;Zhang et al, 2010). Pontryagin's Maximum Principle (PMP) is proposed by Soviet mathematician Pontryagin (Pontryagin, 1987) and it has been widely used in the field of optimal control (Peng, 1990;Wang and Chen, 1999;Van Damme et al, 2014;Ozparpucu et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Structural optimization of double-tube once-through steam generator using Pontryagin's Maximum Principle

Fang

Wei

Zhao

2015

Progress in Nuclear Energy

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“…Polley et al and Silva studied HEN, which included a pressure drop analysis to assess the pumping power cost. Other studies examined different optimization methods involving the design of the HEs of the HEN, such as Ravagnani et al, Polley, Markowski, and Roque . However, the number of design variables for these exchangers were limited.…”

Section: Introductionmentioning

confidence: 99%

Applying multiple decomposition methods and optimization techniques for achieving optimal cost in mixed materials heat exchanger networks

Karimi

Ahmadi‐Danesh‐Ashtiani

Aghanajafi

2019

Int J Energy Res

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Summary The optimization of the total annual cost in heat exchanger networks has been one of the overarching goals when synthesizing these networks. Several methodologies and techniques have been developed to achieve optimal costs in mixed material heat exchanger networks. This paper demonstrates the application of two decomposition methodologies (total decomposition and partial decomposition) for typical cost rules. The objective function was defined as the optimization and minimization of the total annual cost in mixed materials heat exchanger network. Three optimization algorithms, hybrid genetic‐particle swarm optimization (GA‐PSO), shuffled frog leaping algorithm (SFLA) techniques, and ant colony optimization (ACO), were used to further optimize the total cost in mixed materials heat exchanger network. The results indicate that the total annual cost in partial decomposition method was smaller than that in full integration method and total decomposition method. The reduction of the total annual cost was about 27% for GA‐PSO algorithm, 24% for SFLA and 10% for ACO relative to the results reported in this work. In partial decomposition method, at least one mixed material of heat exchanger was used to reduce the hot and cold utility for decreasing the total annual cost. Partial decomposition method resulted in the highest reduction of the total annual cost compared with other methods. Percentage of difference of the total annual cost were 0.36%, 1.92%, and 5.05% for full integration, total decomposition, and partial decomposition methods, respectively, in comparison with the previous studies. Results have been compared with the results of other studies to demonstrate the accuracy of the applied algorithms.

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Optimal heat exchanger network synthesis with the detailed heat transfer equipment design

Cited by 65 publications

References 23 publications

Optimal heat exchanger network synthesis using particle swarm optimization

Optimal heat exchanger network synthesis using particle swarm optimization

Structural optimization of double-tube once-through steam generator using Pontryagin's Maximum Principle

Applying multiple decomposition methods and optimization techniques for achieving optimal cost in mixed materials heat exchanger networks

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