A burnout prediction model based around char morphology

Journal Article · Mon May 15 04:00:00 EDT 2006 · Energy and Fuels

OSTI ID:20762216

Wu, Tao; Lester, Edward; Cloke, Michael ^[1]

---

1. University of Nottingham, Nottingham (United Kingdom). School of Chemical, Environmental and Mining Engineering

Several combustion models have been developed that can make predictions about coal burnout and burnout potential. Most of these kinetic models require standard parameters such as volatile content and particle size to make a burnout prediction. This article presents a new model called the char burnout (ChB) model, which also uses detailed information about char morphology in its prediction. The input data to the model is based on information derived from two different image analysis techniques. One technique generates characterization data from real char samples, and the other predicts char types based on characterization data from image analysis of coal particles. The pyrolyzed chars in this study were created in a drop tube furnace operating at 1300{sup o}C, 200 ms, and 1% oxygen. Modeling results were compared with a different carbon burnout kinetic model as well as the actual burnout data from refiring the same chars in a drop tube furnace operating at 1300{sup o}C, 5% oxygen, and residence times of 200, 400, and 600 ms. A good agreement between ChB model and experimental data indicates that the inclusion of char morphology in combustion models could well improve model predictions. 38 refs., 5 figs., 6 tabs.

• OSTI ID: 20762216
• Journal Information: Energy and Fuels, Journal Name: Energy and Fuels Journal Issue: 3 Vol. 20; ISSN ENFUEM; ISSN 0887-0624
• Country of Publication: United States
• Language: English

Related Subjects

01 COAL, LIGNITE, AND PEAT
BURNOUT
CHARS
COMBUSTION KINETICS
FORECASTING
IMAGE PROCESSING
MATHEMATICAL MODELS
MORPHOLOGY