Modeling of simultaneous heat and mass transfer within passive down-draft evaporative cooling (PDEC) towers with spray in FLUENT

Kang, Daeho; Strand, Richard Karl

doi:10.1016/j.enbuild.2013.02.039

Cited by 48 publications

(23 citation statements)

References 9 publications

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“…[13]. Some previous studies also already analyzed the impact of physical parameters [12,18]. However, to the best of our knowledge, none of these studies included grid-sensitivity analysis, and none of them included a drop spectrum rather than a single drop size.…”

Section: Introductionmentioning

confidence: 99%

CFD analysis of the impact of physical parameters on evaporative cooling by a mist spray system

Montazeri

Blocken

Hensen

2015

Applied Thermal Engineering

118

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Section: Introductionmentioning

confidence: 99%

CFD analysis of the impact of physical parameters on evaporative cooling by a mist spray system

Montazeri

Blocken

Hensen

2015

Applied Thermal Engineering

118

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“…In particular, the standard k-e model is the one used most widely (Talal, 2013;Wang et al, 2009a;Xu et al, 2012). However, the standard k-e model is overly diffusive and inaccurate for treating near-wall situations, whereas the RNG k-e model shows the best agreement with the options of enhanced wall treatment (Kang and Strand, 2013). Therefore, in this study, the RNG k-e model, which was developed by Yakhot and Orzag (1986), was chosen to describe the turbulence flow behavior in the reactor for its default option with ''low Reynolds number'' and ''differential viscosity model'' as recommended by FLUENT (Schaffrath et al, 2007).…”

Section: Methodsmentioning

confidence: 99%

“…In this study, the authors used the FLUENT software (Kang and Strand, 2013;Li et al, 2014), which is becoming more widely available for analyzing either simple single-phase or complex multiphase flow problems, to simulate and analyze the flow regime in the TISTD reactor. The combinational effect of the key parameters of the reactor structure, including the upward communicating pore, height of inlet tubule, downward communicating pore, diameter of inner recycling pipe, and height of inner recycling pipe in the TISTD reactor, was investigated with an L 16 (4 5 ) orthogonal test to optimize the most effective flow regime.…”

Section: Introductionmentioning

confidence: 99%

Optimization Design and Experimental Study of Two‐Phase Integrated Sludge Thickening and Digestion Reactor

Luo

Wang

et al. 2015

Water Environment Research

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In this study, FLUENT software was used to simulate the flow regime of an integrated sludge thickening and digestion reactor. To optimize the flow regime, the combinational effect of key parameters of the reactor structure was investigated with an L16 (4(5)) orthogonal test. The reactor was then redesigned based on the optimization results, and a series of experiments was conducted to study the treatment effect with sludge dosage rates of 12, 18, 24, and 30%. The operation results showed that the reactor obtained the best treatment efficiency when the sludge dosage rate was 24%. At this dosage, the water content of the sludge decreased from 99.1% to 91.8%, with organic matter content (volatile solids [VS]/total solids) decreasing to 21.2% and average gas production (CH4 62.66%, CO2 11.56%, N2 23.91%, O2 1.59%) reaching 231.3 L/kg VS. Therefore, the results implied that the optimized reactor has good effects on sludge thickening and digestion.

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“…Basically the multi-stage model is the development from the predecessor single stage model to improve the performance. Some design and investigations were reported in various publications, such as in experiment [1,2,3] also by using a simulation CFD approach [4,5,6]. In order to improve the cooling effect, additional water spray from the nozzle into the chimney can be useful [7].…”

Section: Introductionmentioning

confidence: 99%

Selecting Nozzle Arrangement of a Chimney Tower to Reduce the Temperature and to Increase the Entrainment Mass Flow

al.¹

2018

IJMPERD

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The aim of this research work was to find the best arrangement of nozzles inside the chimney tower to reduce the temperature and to increase the entrainment mass flow. An existing design of the nozzle arrangement was used as the reference. Six configuration models as replacement alternatives were tested by using Computational Fluid Dynamics (CFD), an analysis tool to see the effect of different configurations to the temperature and entrainment mass flow. Some parameters were examined including temperature distribution inside the chimney in conjunction with an evaporative cooling system and the velocity flow. Prior to the analysis of other nozzle arrangements, five meshing types were tried and selected one to get the similar result with the existing design. The simulation results of new nozzle arrangement configuration with 8 nozzles at the top layer and 3 nozzles at the height of 3.5m from the base of the stack produces the optimum capacity in decreasing temperature and increasing the rate of water vapor.

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Modeling of simultaneous heat and mass transfer within passive down-draft evaporative cooling (PDEC) towers with spray in FLUENT

Cited by 48 publications

References 9 publications

CFD analysis of the impact of physical parameters on evaporative cooling by a mist spray system

CFD analysis of the impact of physical parameters on evaporative cooling by a mist spray system

Optimization Design and Experimental Study of Two‐Phase Integrated Sludge Thickening and Digestion Reactor

Selecting Nozzle Arrangement of a Chimney Tower to Reduce the Temperature and to Increase the Entrainment Mass Flow

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