CPFD simulation of combustion and emission characteristics of corn stalk and sludge in a CFB boiler

This study investigates the co-combustion of corn stalk and high-moisture sewage sludge in a 130 t/h CFB boiler via CPFD simulation. Its novelty is revealing how sludge blending ratio couples with combustion stability, temperature, gas components, and NO x /SO 2 emissions, supporting harmless sludge disposal and green energy utilization.The results demonstrated that the optimal sewage sludge blending ratio was 15% under conditions of 80% moisture content. The introduction of sludge significantly impacted furnace temperature; when the sludge blending ratio reached 20%, the local average temperature within the furnace dropped considerably below 1100 K, posing a significant quenching risk. Therefore, the blending ratio should be maintained within a reasonable operational window. However, outlet NO emissions showed variations within a 5% range, demonstrating co-combustion exerted only minor influence on NO release. Furthermore, the sludge incorporation ratio increased in the range from 0% to 30%, local O 2 mole fraction at the exit increased by 15%, while the CO 2 mole fraction decreased by 15%, mitigating localized oxygen-deficient conditions observed in the furnace. SO 2 emissions remained consistently low, with co-combustion showing no discernible effect on SO 2 release.

Authors

Institutions

Publication Details

Journal
Biomass Futures
Published
2026-05-01
DOI
https://doi.org/10.1016/j.bmf.2026.100047
Primary Topic
Thermochemical Biomass Conversion Processes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CPFD simulation of combustion and emission characteristics of corn stalk and sludge in a CFB boiler

Chunxia Jia, Qing Wang, Zhiming Zhou, Peng Zhou et al.
Biomass Futures
Thermochemical Biomass Conversion Processes
article

CPFD simulation of combustion and emission characteristics of corn stalk and sludge in a CFB boiler

Chunxia Jia, Qing Wang, Zhiming Zhou, Peng Zhou, Bin Shi, Hongpeng Liu, Mingyue Gu, Shichao Li
article en

Abstract

This study investigates the co-combustion of corn stalk and high-moisture sewage sludge in a 130 t/h CFB boiler via CPFD simulation. Its novelty is revealing how sludge blending ratio couples with combustion stability, temperature, gas components, and NO x /SO 2 emissions, supporting harmless sludge disposal and green energy utilization.The results demonstrated that the optimal sewage sludge blending ratio was 15% under conditions of 80% moisture content. The introduction of sludge significantly impacted furnace temperature; when the sludge blending ratio reached 20%, the local average temperature within the furnace dropped considerably below 1100 K, posing a significant quenching risk. Therefore, the blending ratio should be maintained within a reasonable operational window. However, outlet NO emissions showed variations within a 5% range, demonstrating co-combustion exerted only minor influence on NO release. Furthermore, the sludge incorporation ratio increased in the range from 0% to 30%, local O 2 mole fraction at the exit increased by 15%, while the CO 2 mole fraction decreased by 15%, mitigating localized oxygen-deficient conditions observed in the furnace. SO 2 emissions remained consistently low, with co-combustion showing no discernible effect on SO 2 release.

Biomass Futures
Northeast Electric Power University (CN), State Power Investment Corporation (China) (CN)
Natural Science Foundation of Jilin Province
Openalex Percentile: Top 9%
Thermochemical Biomass Conversion Processes
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.