Determining heat transfer correlations for transition and turbulent flow in ducts

Taler, Dawid; Taler, Jan

doi:10.7862/rm.2014.12

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…The remaining heat transfer surfaces in contact with the fluid were modelled as simple plate conduction. The heat transfer coefficient was obtained using the Gnielinski correlation with transition flow correction (19).…”

Section: One-dimensional Modelmentioning

confidence: 99%

Computational fluid dynamics modelling of expanded metal porous matrix heat exchangers for intensified carbon capture applications

Hendry

Reay

2022

Thermal Science and Engineering Progress

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Section: One-dimensional Modelmentioning

confidence: 99%

Computational fluid dynamics modelling of expanded metal porous matrix heat exchangers for intensified carbon capture applications

Hendry

Reay

2022

Thermal Science and Engineering Progress

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“…where h f ,x is the local heat transfer coefficient, which can be determined from Nusselt (Nu)-Reynolds (Re)-Prandtl (Pr) relationship [49][50][51],…”

Section: Model Developmentmentioning

confidence: 99%

Produced Water Desalination via Pervaporative Distillation

Wang

Tanuwidjaja

Bhattacharjee³

et al. 2020

Water

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Herein, we report on the performance of a hybrid organic-ceramic hydrophilic pervaporation membrane applied in a vacuum membrane distillation operating mode to desalinate laboratory prepared saline waters and a hypersaline water modeled after a real oil and gas produced water. The rational for performing “pervaporative distillation” is that highly contaminated waters like produced water, reverse osmosis concentrates and industrial have high potential to foul and scale membranes, and for traditional porous membrane distillation membranes they can suffer pore-wetting and complete salt passage. In most of these processes, the hard to treat feed water is commonly softened and filtered prior to a desalination process. This study evaluates pervaporative distillation performance treating: (1) NaCl solutions from 10 to 240 g/L at crossflow Reynolds numbers from 300 to 4800 and feed-temperatures from 60 to 85 °C and (2) a real produced water composition chemically softened to reduce its high-scale forming mineral content. The pervaporative distillation process proved highly-effective at desalting all feed streams, consistently delivering <10 mg/L of dissolved solids in product water under all operating condition tested with reasonably high permeate fluxes (up to 23 LMH) at optimized operating conditions.

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Enhancement of evaporative cooling system in a green-house by geothermal energy

2022

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Greenhouse is one of the most recent agricultural systems that provides an economic resource by increasing production and allowing crops to be grown all year. In Iraq, this approach encounters an impediment during the summer. As a result of the rapid rise in temperatures, greenhouses are becoming increasingly ineffective. In this season, it is unusable. A two-stage evaporative cooling system was used in this study, with one indirect evaporative cooling heat exchanger and three direct evaporative cooling pads. The performance of the proposed indirect–direct evaporative cooling (IDEC) unit with various settings was tested during the summer season in Kirkuk, with dry bulb temperatures ranging from 45 to 50°C. The results reveal that using groundwater increased the IDEC unit’s efficiency to 98.3%, compared to 67.5% when using direct evaporative cooling. When covering layers were used, solar intensity entering the greenhouse was lowered from 11.4% for a single layer to 28.4% for two layers with one layer of green mesh. In comparison to ambient circumstances and according to the parameters analyzed, the IDEC system employing groundwater results in a decrease in greenhouse temperature and an increase in greenhouse relative humidity. The IDEC unit was verified using TRANSYS software and experimental measurements from a test greenhouse. For the same ambient temperature, simulated and experimental findings revealed that the simulated temperature is lower than the experimental temperature. The percentage difference in greenhouse temperature between the TRANSYS simulation and experimental measurements reached a maximum of 9.43%.

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Determining heat transfer correlations for transition and turbulent flow in ducts

Cited by 3 publications

References 11 publications

Computational fluid dynamics modelling of expanded metal porous matrix heat exchangers for intensified carbon capture applications

Computational fluid dynamics modelling of expanded metal porous matrix heat exchangers for intensified carbon capture applications

Produced Water Desalination via Pervaporative Distillation

Enhancement of evaporative cooling system in a green-house by geothermal energy

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