为降低安徽淮南煤气化过程中煤灰熔融温度,解决高灰熔融温度煤在液态排渣气化炉的应用问题,利用混料试验设计对1号(钙基助熔剂)、2号(镁基助熔剂)和3号(铁基助熔剂)3种煤气化复配助熔剂进行优化,并以煤灰流动温度为评价指标,优选出所选助熔剂的最佳复配条件,并建立数学回归模型。结果表明:回归模型得出的煤灰流动温度预测值与试验实测值相差在20℃以内;通过混料试验设计,3种助熔剂的质量分数分别为0、0.47和0.53时,对所选煤样的助熔效果最佳,且数学回归模型预测结果与验证试验结果一致。

In order to reduce the fly ash fusion temperature in the Huainan coal gasification process and solve the application of high ash fusion temperature coal to the liquid slag discharging gasifier, the blending experiment design was applied to the optimization on No.1 coal gasification complex flux (calcium-base flux) , No.2 C oal gasification complex flux (magnesium-base flux) and No.3 coal gasification complex flux (iron-base flux) .With the fly ash flow temperature as the evaluation index, t he optimum complex conditions were optimized for the selected flux and the mathematics regression model was established.The results showed that the predicted valu e of the fly ash flow temperature obtained from the regression model would have a difference within 20。C to the experiment measured value.With the blending experime nt design, when the quality fractions of the three fluxes were individually as 0, 0.47 and 0.53, those fluxes would have the best fusion assistance effect to the selected C oal samples and the predicted results of the mathematics regression model would be the same to the experiment results.

安徽省自然科学基金重点资助项目(08040102003)；