Heat exchanger design based on economic optimisation

Caputo, Antonio Casimiro; Pelagagge, Pacifico M.; Salini, P.

doi:10.1016/j.applthermaleng.2007.08.010

Cited by 250 publications

(175 citation statements)

References 16 publications

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“…The total operating cost is dependent on the pumping power to overcome the pressure drop from both shell and tube side flow [12,18]:…”

Section: Objective Functionsmentioning

confidence: 99%

“…The operating cost Cop and the initial investment Cin for the shell and the stainless steel tube can be approximated as follows [18,36]:…”

Section: Objective Functionsmentioning

confidence: 99%

“…They minimized their cost function using seven decision variables including outside diameter of tube, tube pitch, type of shell, number of tube passes, tube length, space of baffles and baffle cut. Caputo et al [18] used the genetic algorithm in Toolbox for optimizing a heat exchanger and considered an objective function on the basis of total cost of the heat exchanger. They minimize the objective function considering decision variables such as tube diameter, shell diameter and space of baffles, and compare their results with traditional approaches.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of a Finned Shell and Tube Heat Exchanger Using a Multi-Objective Optimization Genetic Algorithm

2015

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Abstract:Heat transfer rate and cost significantly affect designs of shell and tube heat exchangers. From the viewpoint of engineering, an optimum design is obtained via maximum heat transfer rate and minimum cost. Here, an analysis of a radial, finned, shell and tube heat exchanger is carried out, considering nine design parameters: tube arrangement, tube diameter, tube pitch, tube length, number of tubes, fin height, fin thickness, baffle spacing ratio and number of fins per unit length of tube. The "Delaware modified" technique is used to determine heat transfer coefficients and the shell-side pressure drop. In this technique, the baffle cut is 20 percent and the baffle ratio limits range from 0.2 to 0.4. The optimization of the objective functions (maximum heat transfer rate and minimum total cost) is performed using a non-dominated sorting genetic algorithm (NSGA-II), and compared against a one-objective algorithm, to find the best solutions. The results are depicted as a set of solutions on a Pareto front, and show that the heat transfer rate ranges from 3517 to 7075 kW. Also, the minimum and maximum objective functions are specified, allowing the designer to select the best points among these solutions based on requirements. Additionally, variations of shell-side pressure drop with total cost are depicted, and indicate that the pressure drop ranges from 3.8 to 46.7 kPa. OPEN ACCESSSustainability 2015, 7 11680

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“…The total operating cost is dependent on the pumping power to overcome the pressure drop from both shell and tube side flow [12,18]:…”

Section: Objective Functionsmentioning

confidence: 99%

“…The operating cost Cop and the initial investment Cin for the shell and the stainless steel tube can be approximated as follows [18,36]:…”

Section: Objective Functionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization of a Finned Shell and Tube Heat Exchanger Using a Multi-Objective Optimization Genetic Algorithm

2015

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“…The objectives in heat exchanger design optimization can be classified into two groups: one is minimizing costs of heat exchangers [1][2][3][4][5]; the other is minimizing irreversibility based on the second law of thermodynamics that occurs in heat exchangers [6][7][8][9][10]. The first approach can reduce costs, but possibly at the expense of sacrificing heat exchanger performance [11].…”

mentioning

confidence: 99%

Entransy dissipation minimization for optimization of heat exchanger design

Guo

et al. 2011

Chin. Sci. Bull.

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In this paper, by taking the water-water balanced counterflow heat exchanger as an example, the entransy dissipation theory is applied to optimizing the design of heat exchangers. Under certain conditions, the optimal duct aspect ratio is determined analytically. When the heat transfer area or the duct volume is fixed, analytical expressions of the optimal mass velocity and the minimal entransy dissipation rate are obtained. These results show that to reduce the irreversible dissipation in heat exchangers, the heat exchange area should be enlarged as much as possible, while the mass velocity should be reduced as low as possible. entransy, heat exchanger, optimization design Citation:Li X F, Guo J F, Xu M T, et al. Entransy dissipation minimization for optimization of heat exchanger design.

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“…• The Temperature at shell side inlet, S 1 • A Temperature at shell side outlet before external recycle is done, S 2…”

mentioning

confidence: 99%

An Investigation on Thermo-Hydraulic Performance of Shell and Tube Heat Exchanger with Recycles

Kamitkar¹,

Tjprc²

2018

IJMPERD

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Heat transfer augmentation in heat exchangers has been a key research area in recent times. Over the years, many methods were proposed for heat transfer enhancement such as providing fins, ribs, and twisted tape inserts, etc.In addition to the above-mentioned techniques, utilization of recycles was proposed by few authors and it was demonstrated that this method could effectively increase the heat transfer rate. Several theoretical research were conducted to investigate the effect of recycles on heat transfer rate. However, most of these works are limited to parallel flow heat exchangers and very few works are related to cross-flow heat exchangers. This method of augmentation of heat transfer can be extended to shell and tube heat exchangers as these kinds of heat exchangers are widely used in industries. There is a need to establish a theoretical model to study the thermo-hydraulic performance of shell and tube heat exchanger with recycling. The present work is aimed at developing a theoretical model and hence to do the parametric study on the performance of shell and tube heat exchanger with recycles.

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Heat exchanger design based on economic optimisation

Cited by 250 publications

References 16 publications

Optimization of a Finned Shell and Tube Heat Exchanger Using a Multi-Objective Optimization Genetic Algorithm

Optimization of a Finned Shell and Tube Heat Exchanger Using a Multi-Objective Optimization Genetic Algorithm

Entransy dissipation minimization for optimization of heat exchanger design

An Investigation on Thermo-Hydraulic Performance of Shell and Tube Heat Exchanger with Recycles

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