ABSTRACT

This study aims to investigate the lignite ash behavior during combustion for electricity generation and to predict the Ash Fusion Temperatures (AFTs) using ash chemical composition. The studied lignite samples were collected from the area of Ptolemais-Amyntaio at Western Macedonia district of Northwest Greece. Ash chemical composition and its AFTs were determined for all collected samples. Results indicated that the chemical composition of the ash varies significantly and is rich in CaO. AFTs, as well as, slagging and fouling indices derived from the chemical analysis results, showed the tendency for slagging and fouling fluctuates also significantly. The varying chemical composition and AFTs, requires frequent sampling and laboratory analysis. Since AFTs determination is a time-consuming laboratorial procedure, multiple linear regression models, capable to predict AFTs from ash chemical composition, were developed. The adjusted regression coefficients of the prediction models were around to 0.90, while the relative root mean square error was approximately 4%.

摘要

本研究旨在研究发电燃烧过程中褐煤灰的行为，并使用灰化学成分预测灰熔融温度 (AFT)。所研究的褐煤样品是从希腊西北部马其顿西部地区的 Ptolemais-Amyntaio 地区采集的。测定所有收集的样品的灰分化学成分及其 ​​AFT。结果表明，灰的化学成分变化很大，富含CaO。由化学分析结果得出的 AFT 以及结渣和结垢指数显示出结渣和结垢趋势也有显着波动。不同的化学成分和 AFT，需要经常取样和实验室分析。由于 AFT 的测定是一个耗时的实验室程序，因此采用多元线性回归模型，开发了能够从灰分化学成分预测 AFT 的方法。预测模型的调整回归系数约为0.90，而相对均方根误差约为4%。