A considerable number of modeling studies for the investigation of sulfur
retention in atmospheric bubbling fluidized bed combustors have been carried out
and well documented in the literature. Despite 30 years of intensive study of
sulfation process in fluidized bed combustors and numerous laboratory studies,
there are still many uncertainties and disagreements on the subject. In addition,
modeling sulfur retention performance of Turkish lignites with high sulfur, volatile
matter and ash contents has not drawn much attention to date. Recent trend in
utilization of indigenous lignites in fluidized bed boilers necessitated investigation of pollutant emissions and adaptation of fluidized bed combustion technology to
these lignites. In an attempt to achieve this objective, a system model, previously
developed and tested for the prediction of the combustion behavior of fluidized bed
combustors was extended to incorporate sulfur retention.
The predictive accuracy of the model was assessed by applying it to the
prediction of the behavior of METU 0.3 MWt ABFBC test rig burning indigenous
lignites in their own ashes, and comparing its predictions with measurements taken
on the same rig. Sulfur dioxide concentration predictions throughout the combustor
were found to be in good agreement with the experimental data except for the small
discrepancy between predictions and measurements in the bed section.
Measurements and model predictions revealed that recyling enhances calcium
utilization significantly by increasing the sorbent residence time leading to higher
sulfur retention efficiencies. The system model proposed in this study proves to be a
useful tool in qualitatively and quantitatively simulating the processes taking place
in an atmospheric fluidized bed combustor.
Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/1085661/index.pdf |
Date | 01 January 2003 |
Creators | Altindag, Hakan |
Contributors | Selcuk, Nevin |
Publisher | METU |
Source Sets | Middle East Technical Univ. |
Language | English |
Detected Language | English |
Type | M.S. Thesis |
Format | text/pdf |
Rights | To liberate the content for public access |
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