CFD simulation for flow distribution in manifolds of central-type compact parallel flow heat exchangers

Zhou, Jiren; Sun, Zhongning; Ding, Ming; Bian, Haozhi; Zhang, Nan; Meng, Zhaoming

doi:10.1016/j.applthermaleng.2017.07.194

Cited by 26 publications

(11 citation statements)

References 14 publications

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“…Gandhi et al [14] tested meshes consisting of hexahedral and tetrahedral elements. A similar flow geometry (with a slightly higher number of tubes) was also investigated by Zhou et al [15] who used relatively new polyhedral cells in combination with prismatic elements. Regarding the flow system including only 14 tubes and 2 headers, the grid independence test [15] indicated that the optimal mesh should contain almost three million cells.…”

Section: Overview Of the Modelling Approachesmentioning

confidence: 99%

“…A similar flow geometry (with a slightly higher number of tubes) was also investigated by Zhou et al [15] who used relatively new polyhedral cells in combination with prismatic elements. Regarding the flow system including only 14 tubes and 2 headers, the grid independence test [15] indicated that the optimal mesh should contain almost three million cells. It should be noted that these two studies did not examine heat transfer, and moreover, the maximum number of tubes was only 50 [14] and 70 [15].…”

Section: Overview Of the Modelling Approachesmentioning

confidence: 99%

“…Regarding the flow system including only 14 tubes and 2 headers, the grid independence test [15] indicated that the optimal mesh should contain almost three million cells. It should be noted that these two studies did not examine heat transfer, and moreover, the maximum number of tubes was only 50 [14] and 70 [15]. In practice, heat transfer apparatuses with much larger tube bundles are employed.…”

Section: Overview Of the Modelling Approachesmentioning

confidence: 99%

“…Most authors use various versions of a commercial software Ansys Fluent, except for, e.g., Zhou et al [15] (Siemens' STAR-CCM+) and Manickam et al [20]. The last-mentioned authors [20] solved a waste heat recovery boiler problem using the software CFD-FLOW3D (now provided by Ansys as a software tool CFX).…”

Section: Overview Of the Modelling Approachesmentioning

confidence: 99%

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Analysis of Fired Equipment within the Framework of Low-Cost Modelling Systems

Fialová

Jegla

2019

Energies

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Fired equipment suffers from local overloading and fouling of heat transfer surfaces, products are not of the required quality, and operating costs are increased due to the high pressure drop of process fluids. Such operational issues are affected by the non-uniform distribution of fluid flow and heat flux variability. Detailed numerical analyses are often applied to troubleshoot these problems. However, is this common practice effective? Is it not better to prevent problems from occurring by using quality equipment design? It is, according to the general consensus. Still, the experience of designing fired apparatuses reveals that the established standards do not reflect the real maldistribution sufficiently. In addition, as found from the given overview of modelling approaches, the radiant chamber and the convection section are usually analysed separately without significant continuity. A comprehensive framework is hence introduced. The proposed procedure clearly defines the interconnection of traditional thermal-hydraulic calculations and low-cost modelling systems for radiant and convection sections. A suitable combination of simplified methods allows for the reliable design of complex equipment and fast identification of problematic areas. The utilisation of selected low-cost models, i.e., the second phase of the systematic framework, is presented regarding the example of a steam boiler.

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Section: Overview Of the Modelling Approachesmentioning

confidence: 99%

Section: Overview Of the Modelling Approachesmentioning

confidence: 99%

Section: Overview Of the Modelling Approachesmentioning

confidence: 99%

Section: Overview Of the Modelling Approachesmentioning

confidence: 99%

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Analysis of Fired Equipment within the Framework of Low-Cost Modelling Systems

Fialová

Jegla

2019

Energies

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“…In order to obtain the minimum energy loss, it is necessary to analyze the sensitivity of the geometric parameters of the MCCS structure to pressure loss and pressure drop. At the present time, few studies address MCCS structure, but many researchers have studied the application of similar structures, such as flow distribution devices [8,9], heat exchangers [10,11], and thermal solar collectors [12,13]. The different structures depend on the applications in the relevant equipment.…”

Section: Introductionmentioning

confidence: 99%

A Numerical Investigation of the Influence of Geometric Parameters on the Performance of a Multi-Channel Confluent Water Supply

Zhao¹,

Li²,

Zhu³

2019

Energies

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Transportation efficiency is a problem of particular interest in multi-channel confluent water supply engineering. Transportation efficiency depends not only on the system control strategy but also on the pressure loss (pressure difference between the inlet and outlet) and pressure drop (amplitude of outlet pressure fluctuations) of its structure. In this article, sensitivity analyses of the pressure loss and pressure drop to changes in multi-channel confluent water supply geometry are presented. An experimental set-up was established to validate computational fluid dynamic (CFD) predictions and obtain the boundary conditions for two-channel synchronous switching. The influences of the geometric structure varies by the clustered pipe diameter (40 mm < Dc < 80 mm), main pipe diameter (30 mm < Do < 80 mm), channel pitch (60 mm < L < 400 mm) and number of channels (2 ≤ n ≤ 4); those variables were investigated with the help of CFD simulations. The results showed that configuration “C” can be considered a costless method of decreasing pressure loss (βC(2.05) < βA(2.42) < βB(2.64)) and that the different configurations are insensitive to pressure drop. The variations of the influence of channel pitch and clustered pipe diameter on pressure loss have extremes at L/d = 5 and Dc/d = 2.5, respectively, but the effect on pressure drop is not obvious. The main pipe diameter and the inlet velocity have more significant influences on efficiency. The results can be used to choose the proper geometry of multi-channel confluent water supply to enable energy savings.

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