Evaluation and improvement of particle collection efficiency and pressure drop of cyclones by redistribution of dustbins

2018 ◽  
Vol 139 ◽  
pp. 52-61 ◽  
Author(s):  
Guo Zhang ◽  
Guang Chen ◽  
Xiaohong Yan
Keyword(s):  
Pressure Drop ◽  
Collection Efficiency ◽  
Particle Collection

scholarly journals Experimental Investigation of the Effects of Helical Roof on the Performance of Stairmand High Efficiency Cyclone

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Aykut Karadeniz ◽  
Selami Demir
Keyword(s):  
Pressure Drop ◽  
Treatment Cost ◽  
High Efficiency ◽  
Negative Impact ◽  
Collection Efficiency ◽  
Operating Conditions ◽  
Reduced Pressure ◽  
Particle Collection ◽  
Standard Design ◽  
Roof Design

Cost-effectiveness of a standard and a modified Stairmand high-efficiency type cyclone was compared at various inlet gas velocities. The modified design was obtained by replacing the roof of the standard design with a helical roof. Experiments were conducted by both standard and helical roof designs at the same operating conditions. Results showed that helical roof leads to reduced pressure drop in cyclones while having a negative impact on particle collection efficiency. Reductions in pressure drop can reach up to 30%, while particle collection efficiency is reduced by up to 8% simultaneously. Overall, the treatment cost of a cyclone separator can be reduced by 14.1–20.8%. Results indicated that helical roof design cyclones can be used to reduce overall treatment cost by cyclone separators.

scholarly journals A New Approach of Dedusting for IGCC by a Two-Stage Moving Granular Bed Filter

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2534
Author(s):  
Chiawei Chang ◽  
Yishun Chen ◽  
Litsung Sheng ◽  
Shusan Hsiau
Keyword(s):  
Pressure Drop ◽  
Mass Flow ◽  
Power Plants ◽  
Collection Efficiency ◽  
Size Distributions ◽  
Granular Bed ◽  
Two Stage ◽  
Mass Consumption ◽  
Particulate Size ◽  
Dust Particulate

We propose a dust removal technology in which a two-stage moving granular bed filter was employed using coarse and fine filtering granules. The pressure drop, collection efficiency, and dust particulate size distributions were investigated using various mass flow rates for coarse and fine granules at room temperature. In addition, the ratio of mass consumption was used to reveal the actual mass flow. The ratio of mass consumption influenced the pressure drop, collection efficiency, and dust particulate size distributions. Particulates larger than 1.775 μm were removed by the filter. Our results showed that a mass flow of 330 g/min for coarse granules and a mass flow of 1100 g/min for fine granules provided optimal collection efficiency and particulate size distribution. The proposed design can aid the development of high-temperature systems in power plants.

scholarly journals Uncertainty assessment of current size-resolved parameterizations for below-cloud particle scavenging by rain

2010 ◽  
Vol 10 (12) ◽  
pp. 5685-5705 ◽  
Author(s):  
X. Wang ◽  
L. Zhang ◽  
M. D. Moran
Keyword(s):  
Size Distribution ◽  
Collection Efficiency ◽  
Theoretical Calculations ◽  
Terminal Velocity ◽  
Moderate Intensity ◽  
Size Spectrum ◽  
Cloud Particle ◽  
Particle Collection ◽  
Particle Scavenging ◽  
Empirical Size

Abstract. Current theoretical and empirical size-resolved parameterizations of the scavenging coefficient (Λ), a parameter commonly used in aerosol transport models to describe below-cloud particle scavenging by rain, have been reviewed in detail and compared with available field and laboratory measurements. Use of different formulations for raindrop-particle collection efficiency can cause uncertainties in size-resolved Λ values of one to two orders of magnitude for particles in the 0.01–3 μm diameter range. Use of different formulations of raindrop number size distribution can cause Λ values to vary by a factor of 3 to 5 for all particle sizes. The uncertainty in Λ caused by the use of different droplet terminal velocity formulations is generally small than a factor of 2. The combined uncertainty due to the use of different formulations of raindrop-particle collection efficiency, raindrop size spectrum, and raindrop terminal velocity in the current theoretical framework is not sufficient to explain the one to two order of magnitude under-prediction of Λ for the theoretical calculations relative to the majority of field measurements. These large discrepancies are likely caused by additional known physical processes (i.e, turbulent transport and mixing, cloud and aerosol microphysics) that influence field data but that are not considered in current theoretical Λ parameterizations. The predicted size-resolved particle concentrations using different theoretical Λ parameterization can differ by up to a factor of 2 for particles smaller than 0.01 μm and by a factor of >10 for particles larger than 3 μm after 2–5 mm of rain. The predicted bulk mass and number concentrations (integrated over the particle size distribution) can differ by a factor of 2 between theoretical and empirical Λ parameterizations after 2–5 mm of moderate intensity rainfall.

Electrohydrodynamic gas flow in a positive polarity wire-plate electrostatic precipitator and the related dust particle collection efficiency

2006 ◽  
Vol 64 (3-4) ◽  
pp. 259-262 ◽  
Author(s):  
Janusz Podliński ◽  
Jarosław Dekowski ◽  
Jerzy Mizeraczyk ◽  
Drazena Brocilo ◽  
Jen-Shih Chang
Keyword(s):  
Dust Particle ◽  
Gas Flow ◽  
Electrostatic Precipitator ◽  
Collection Efficiency ◽  
Positive Polarity ◽  
Particle Collection

scholarly journals Grid convergence study of a cyclone separator using different mesh structures

2017 ◽  
Vol 23 (3) ◽  
pp. 311-320 ◽  
Author(s):  
R.A.F. Oliveira ◽  
G.H. Justi ◽  
G.C. Lopes
Keyword(s):  
Pressure Drop ◽  
Collection Efficiency ◽  
Fluid Dynamic ◽  
Two Phase ◽  
Mesh Structure ◽  
Pressure Drops ◽  
Regular Elements ◽  
Grid Convergence ◽  
Grid Convergence Index ◽  
Mesh Structures

In a cyclone design, pressure drop and collection efficiency are two important performance parameters to estimate its implementation viability. The optimum design provides higher efficiencies and lower pressure drops. In this paper, a grid independence study was performed to determine the most appropriate mesh to simulate the two-phase flow in a Stairmand cyclone. Computational fluid dynamic (CFD) tools were used to simulate the flow in an Eulerian-Lagrangian approach. Two different mesh structure, one with wall-refinement and the other with regular elements, and several mesh sizes were tested. The grid convergence index (GCI) method was applied to evaluate the result independence. The CFD model results were compared with empirical correlations from bibliography, showing good agreement. The wall-refined mesh with 287 thousand elements obtained errors of 9.8% for collection efficiency and 14.2% for pressure drop, while the same mesh, with regular elements, obtained errors of 8.7% for collection efficiency and 0.01% for pressure drop.

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