Multi-objective optimization of rotary regenerator using genetic algorithm

Sanaye, Sepehr; Hajabdollahi, Hassan

doi:10.1016/j.ijthermalsci.2009.02.008

Cited by 51 publications

(35 citation statements)

References 15 publications

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“…To approximate a solution by minimizing an associated error function, it then uses variational methods from the calculus of variations. For complex geometries, FEM is very effective (Sanaye and Hajabdollahi, 2009;Wu et al, 2012). Baclic (1995) used the Galerkin method to get a closed form approximate solution.…”

Section: Finite Element Methods (Fem)mentioning

confidence: 99%

“…For obtaining the optimum performance from a rotary heat exchanger, effectiveness and pressure drop are the two crucial parameters that need to be optimized for any industrial application. Sanaye and Hajabdollahi (2009) have modeled the rotary regenerator using the Effectiveness-NTU method to estimate its pressure drop and effectiveness. Frontal area, rotational speed, ratio of hot and cold frontal heat transfer area, matrix thickness, matrix rod diameter, and porosity were the main parameters that they considered for the design.…”

Section: Optimization Techniquesmentioning

confidence: 99%

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Numerical Modeling of Regenerative Rotary Heat Exchanger: A Review

Baruah¹,

Kumar²

2017

Journal of Biosystems Engineering

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Background: Heat recovery is one of the prominent ways to save a considerable amount of conventional fossil fuel and minimize its adverse effects on the environment. The rotary heat exchanger is one of the most effective and efficient devices for heat recovery or heat exchanging purposes. It is a regenerative type of heat exchanger, which has been studied and used for many heat recovery purposes. However, regenerative thermal wheels have been mostly used as heat recovery systems in buildings. For modeling a rotary regenerator, it is very important to numerically consider all the factors involved, such as effectiveness, rotational speed, geometrical size and shape, and pressure drop (Δp). In recent times, several researchers have actively studied the rotary heat exchangers, both theoretically and experimentally. Reviews: In this paper different advances in the numerical modeling of regenerative rotary heat exchangers in relation to fluid flow and heat transfer have been discussed. Researchers have indicated that the effectiveness of the regenerative rotary heat exchanger depends on various factors including, among many others, rotational speed, rotational period and combustion power. It is reported that with the increase of periodic rotation the deviation of theoretical results from the experimental result increases. The available literature indicates that regenerative heat exchangers are having relatively more effectiveness (60-80%), compared to other heat exchangers. It is also observed that the finite difference method and finite volume methods are mostly used for discretizing the heat transfer governing equations, under some assumptions. Research also indicates that for the effectiveness calculation the ε-NTU method is the most popular and convenient.

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Section: Finite Element Methods (Fem)mentioning

confidence: 99%

Section: Optimization Techniquesmentioning

confidence: 99%

Numerical Modeling of Regenerative Rotary Heat Exchanger: A Review

Baruah¹,

Kumar²

2017

Journal of Biosystems Engineering

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“…The specific implementation process of the GA is as follows: encoding and decoding, fitness function, setting initial species group, selection, crossover, variation and termination criterion [16]. Because of the variation and crossover constant probability in GA, some problems will appear, such as slow convergence speed and immaturity convergence [17−18].…”

Section: Optimization Algorithms 31 Simulated Annealing Genetic Algomentioning

confidence: 99%

Optimal control of cobalt crust seabed mining parameters based on simulated annealing genetic algorithm

Xia

Zhang

Nie

et al. 2011

J. Cent. South Univ. Technol.

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Under the condition of the designated collection ratio and the interfused ratio of mullock, to ensure the least energy consumption, the parameters of collecting head (the feed speed, the axes height of collecting head, and the rotate speed) are chosen as the optimized parameters. According to the force on the cutting pick, the collecting size of the cobalt crust and bedrock and the optimized energy consumption of the collecting head, the optimized design model of collecting head is built. Taking two hundred groups seabed microtopography for grand in the range of depth displacement from 4.5 to 5.5 cm, then making use of the improved simulated annealing genetic algorithm (SAGA), the corresponding optimized result can be obtained. At the same time, in order to speed up the controlling of collecting head, the optimization results are analyzed using the regression analysis method, and the conclusion of the second parameter of the seabed microtopography is drawn.

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“…Regenerators are integral features of modern power generation technology, cryogenics and energy storage installations [1][2][3][4][5][6][7][8][9][10][11][12]. They operate cyclically.…”

Section: Introductionmentioning

confidence: 99%

Constructal design of regenerators

Bejan

Lorente

Kang

2012

Int. J. Energy Res.

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SUMMARY This paper documents the fundamental problem of designing a porous flow architecture that meets the requirements of facilitating flow access while storing and releasing heat to a flowing fluid. Examples of such designs are regenerators that operate cyclically in various types of heating or reheating furnaces. The main geometrical scales are determined for parallel flow channels in a fixed regenerator volume with a fixed porosity, by matching the time scales of convection along the channels and thermal diffusion. In accord with the constructal law, the route to better architectures for maximum heat transfer and minimum pressure losses is the morphing of the regenerator architecture from parallel channels to dendritic channels. Copyright © 2012 John Wiley & Sons, Ltd.

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Multi-objective optimization of rotary regenerator using genetic algorithm

Cited by 51 publications

References 15 publications

Numerical Modeling of Regenerative Rotary Heat Exchanger: A Review

Numerical Modeling of Regenerative Rotary Heat Exchanger: A Review

Optimal control of cobalt crust seabed mining parameters based on simulated annealing genetic algorithm

Constructal design of regenerators

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