Abstract
This paper investigates the emissions released when Hwange coal and Pinus sawdust are combusted in a drop tube furnace using a cocombustion model. This study is motivated by the need to reduce emissions from coal fired industrial boilers whilst tackling waste from sawdust. The submodels that were utilized to develop the cocombustion model included the discrete phase model, eddy dissipation concept reaction model, single kinetic devolatilization model, multiple surface heterogenous char reaction model. The refined Jones and Lindstedt 4 step reaction mechanism was employed to model the homogenous volatile combustion mechanisms whilst the P1 model and weighted sum of grey gases was employed to model the radiation properties during combustion. Increasing the blending ratio of Pinus sawdust in coal from 0% to 30% by mass produced a decrease in NOx emissions from 257 to 187 ppm when the furnace temperature is 1673 K. Sox emissions reduced by 22% as the blending by sawdust increased to 20%. An important deduction that the cocombustion model was able to make apparent was how the Fuel NOx produced during the combustion process forms an integral part of the final NOx as compared to Thermal NOx when blending is being considered.
| Original language | English |
|---|---|
| Title of host publication | 2025 16th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 53-59 |
| Number of pages | 7 |
| Edition | 2025 |
| ISBN (Electronic) | 9798331509323 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 16th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2025 - Cape Town, South Africa Duration: 16 May 2025 → 18 May 2025 |
Conference
| Conference | 16th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2025 |
|---|---|
| Country/Territory | South Africa |
| City | Cape Town |
| Period | 16/05/25 → 18/05/25 |
Keywords
- biomass
- coal
- cocombustion
- emissions
- modelling
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Industrial and Manufacturing Engineering
- Mechanical Engineering
- Safety, Risk, Reliability and Quality