Characterization and quantitively analysis on the high solid biowaste de-sanding utilizing hydrocyclone

Efficient separation of inorganic particulate matter from organic waste during pretreatment is crucial for enhancing anaerobic fermentation performance. This study presents a numerical investigation of the de-sanding process in high-solid biowaste using a dual-inlet hydrocyclone. The flow behavior and particle dynamics under various operating conditions were analyzed. Results show that organic particles tend to follow the liquid flow pattern, whereas the motion of sand particles is significantly influenced by total solids (TS) concentration and feed velocity. Separation efficiency decreases with increasing feed rate and TS concentration, with feed velocity having a more pronounced effect. Notably, 100 % separation efficiency was achieved at a feed velocity of 2.5 m/s with 2 % TS concentration. Quantitative analysis further revealed that optimal sand separation occurred when particle velocities approached 3 m/s. These findings offer valuable insights into the biowaste de-sanding mechanism and provide guidance for improving anaerobic digestion efficiency. • Developed a CFD-DEM model to study biowaste separation in a dual-inlet hydrocyclone. • Analyzed the effects of feed rate and total solids concentration on separation performance. • Total solids concentration significantly influences particle dynamics and separation efficiency. • Lower solids concentration consistently yields better separation performance of sand from biowaste.

Authors

Institutions

Publication Details

Journal
Biomass and Bioenergy
Published
2025-09-23
DOI
https://doi.org/10.1016/j.biombioe.2025.108389
Primary Topic
Cyclone Separators and Fluid Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization and quantitively analysis on the high solid biowaste de-sanding utilizing hydrocyclone

Xueren Li, Xiujin Li, Jiaqi Fan, Dazhao Gou et al.
Biomass and Bioenergy
Cyclone Separators and Fluid Dynamics
article

Characterization and quantitively analysis on the high solid biowaste de-sanding utilizing hydrocyclone

Xueren Li, Xiujin Li, Jiaqi Fan, Dazhao Gou, Jiyuan Tu, Jian‐Rong Wang, Zhaogang Peng, Xiang Fang
article en

Abstract

Efficient separation of inorganic particulate matter from organic waste during pretreatment is crucial for enhancing anaerobic fermentation performance. This study presents a numerical investigation of the de-sanding process in high-solid biowaste using a dual-inlet hydrocyclone. The flow behavior and particle dynamics under various operating conditions were analyzed. Results show that organic particles tend to follow the liquid flow pattern, whereas the motion of sand particles is significantly influenced by total solids (TS) concentration and feed velocity. Separation efficiency decreases with increasing feed rate and TS concentration, with feed velocity having a more pronounced effect. Notably, 100 % separation efficiency was achieved at a feed velocity of 2.5 m/s with 2 % TS concentration. Quantitative analysis further revealed that optimal sand separation occurred when particle velocities approached 3 m/s. These findings offer valuable insights into the biowaste de-sanding mechanism and provide guidance for improving anaerobic digestion efficiency. • Developed a CFD-DEM model to study biowaste separation in a dual-inlet hydrocyclone. • Analyzed the effects of feed rate and total solids concentration on separation performance. • Total solids concentration significantly influences particle dynamics and separation efficiency. • Lower solids concentration consistently yields better separation performance of sand from biowaste.

Biomass and BioenergyVol. 204
Shanghai University of Engineering Science (CN), China University of Mining and Technology (CN), UNSW Sydney (AU), Sehenstar Energy Technology (China) (CN), Division of Materials Science and Engineering (AU), Beijing University of Chemical Technology (CN), RMIT University (AU)
Openalex Percentile: Top 72%
Cyclone Separators and Fluid Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.