CFD simulation of dust particle removal efficiency of a venturi scrubber in CFX

Ali, Majid; Yan, Changqi; Sun, Zhongning; Wang, Jianjun; Gu, Haifeng

doi:10.1016/j.nucengdes.2012.12.013

Cited by 45 publications

(17 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moving water droplet on textured surfaces can pick up the particles through which the dust can be removed. The model studies picking the dust from the surface provides information on the mechanisms of the cleaning process; however, experimental data are required to explore such mechanisms in detail. In addition, introducing a small temperature gradient at the droplet edge and the surface can result in thermally induced flow inside the droplet .…”

Section: Introductionmentioning

confidence: 99%

Solar energy harvesting and a water droplet cleaning of micropost arrays surfaces

2019

View full text Add to dashboard Cite

Summary Solar energy harvesting in dusty environments initiates many challenges for sustainable operation of photovoltaic panels. Environmental dust reduces photovoltaic device performance and requires regular cleaning of active surfaces. Self‐cleaning of surfaces by water droplets offers advantages in terms of reduced cost and sustainable operation. The present study investigates dust removal from hydrophobic and optically transparent micropost arrays surfaces in relation to solar energy applications. The micropost arrays are replicated using polydimethylsiloxane (PDMS) casting on textured silicon wafers. The replicated micropost arrays result in hydrophobic surface with contact angle of about 147.6° ± 5° and the hysteresis of 16° ± 2°. In relation to self‐cleaning, water droplet behavior on the inclined replicated micropost arrays is simulated and droplet movement is examined experimentally. The optical transmittance of micropost arrays is tested in outdoor dusty environments. It is found that droplet slides on the inclined micropost surface and expanding droplet size enhances the sliding velocity. Alkaline dust compounds dissolve in droplet while increasing pH from 4.35 to 7.94 and surface tension from 0.072 to 0.120 N/m. This alters droplet pinning and lowers the sliding velocity from 0.2 to 0.15 m/s. Optical transmittance of the samples was tested in outdoor dusty environments improve considerably by sliding water droplet cleaning on daily bases (transmittance reduces only 3% or less as reference to surface being kept indoor environments). Hence, introducing micropost arrays on photovoltaic panel protective cover surface can provide self‐cleaning effect, via droplet rolling, while slightly reducing optical transmittance of cover glass (approximately 2.5%‐3%) in outdoor environments.

show abstract

Section: Introductionmentioning

confidence: 99%

Solar energy harvesting and a water droplet cleaning of micropost arrays surfaces

2019

View full text Add to dashboard Cite

show abstract

“…The realisable and the Re-Normalisation group (RNG) k-models are two such examples that address the drawbacks of the standard k-model. The RNG k-model has improvements incorporated for enhanced prediction of rotating flows (Papageorgakis & Assanis 1999;Majid et al 2013) whereas the realisable k-model outperforms the standard k-model for a range of benchmark test flows (Shih et al, 1995). Hoekstra et al (1999) compared the performances of the k-ԑ, the RNG k-ԑ and the RSM and concluded that both the standard k-ԑ and RNG k-ԑ model predicted unrealistic distributions of axial and tangential velocities.…”

Section: Other Turbulence Modelsmentioning

confidence: 99%

“…Generally, small droplets can be assumed to be spherical (Herne, 1930). The Schiller-Newmann drag law is widely used by researchers simulating two-phase flow (Rahimi & Abbaspour 2008;Galletti et al 2008;Majid et al 2013). Karimi et al (2012) compared the results obtained using four different drag coefficients with the Eulerian-Eulerian approach.…”

Section: Drag Coefficientmentioning

confidence: 99%

“…An average difference of 25.2% between the predicted and experimental data was reported and the authors suggested further improvement in the drag coefficient correlations to better account for the forces between continuous and dispersed phases. Majid et al (2013) used the Schiller-Newmann drag coefficient for both liquid droplets and dust particles to account for the interaction of primary and secondary phases in a venturi scrubber. The difference between predicted and measured velocities was seen to increase as the gas flow rate was increased, which may be due to not taking droplet shape change into account.…”

Section: Drag Coefficientmentioning

confidence: 99%

“…Pak & Chang (2006) and Ali et al( 2013) used it for numerical simulation of the collection efficiency of venturi scrubbers. However, since Brownian diffusion and interception may constitute significantly towards the total collection efficiency in venturi scrubbers, the results reported by these authors may not be a true representation of the collection efficiency of venturi scrubbers.…”

Section: Use Of Inertial Impaction Parameter In Cfdmentioning

confidence: 99%

See 2 more Smart Citations

Improvement of Centrifugal Wet Scrubber Design Through Laboratory Experimentation and Computational Fluid Dynamics

Ali¹

View full text Add to dashboard Cite

Numerical prediction of dust capture efficiency of a centrifugal wet scrubber

2017

View full text Add to dashboard Cite

The gas, liquid, and dust particle behavior inside a centrifugal wet scrubber was simulated and a submodel for predicting its collection efficiency was developed that also takes in account the reduction in collection efficiency due to droplet carryover. Centrifugal wet scrubbers are used in many industries and deliver a high scrubbing efficiency at relatively low capital and operational costs. However, they often experience problems such as droplet carryover at high gas flows and reduced collection efficiency at low gas flows. An improved understanding of flow processes inside the scrubbers is needed to develop a better scrubber design. An experimental test facility was setup for this purpose which also served to validate the CFD modeling results. Ideal operating parameters for maximum scrubbing efficiency and minimum droplet carryover were identified. © 2017 American Institute of Chemical Engineers AIChE J, 64: 1001–1012, 2018

show abstract

CFD simulation of dust particle removal efficiency of a venturi scrubber in CFX

Cited by 45 publications

References 8 publications

Solar energy harvesting and a water droplet cleaning of micropost arrays surfaces

Solar energy harvesting and a water droplet cleaning of micropost arrays surfaces

Improvement of Centrifugal Wet Scrubber Design Through Laboratory Experimentation and Computational Fluid Dynamics

Numerical prediction of dust capture efficiency of a centrifugal wet scrubber

Contact Info

Product

Resources

About