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Prediction of Sorbent Performance in a CFB Boiler Based on Sorbent Petrographic Properties

机译:基于吸附剂岩体性质的CFB锅炉吸附性能预测

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The required expenditure for purchasing sorbent in the operation of a Circulating Fluidized Bed (CFB) boiler is often a significant item in a plant's operating budget. This requirement is a function of sorbent usage by the boiler and the cost of the sorbent delivered to the boiler. While the latter may be readily estimated, predicting the former is a challenge. The availability of such a means would be of benefit for CFB power plants, which have several available sources of sorbent, the goal being to minimize plant compliance costs. A method for prediction of sorbent consumption is presented here, and has been developed based on plant operating data for a boiler in which several limestone and dolostone products were tested under similar firing conditions. The method considers the characteristic partitioning of calcium and sulfur between the flyash and bottom ash stream for the boiler, the feed particle size distribution of the sorbent, and petrographic properties of the sorbents. The predictions of sorbent usage were compared with plant operating data for five sorbents, of two distinct petrographic types. The plant operating data used featured full load operation. The five sorbents tested were all from Pennsylvania and each contained greater than 40 wt% CaO. In four of the five cases, the predicted sorbent usage was within 10 wt% of the average full load sorbent usage by the boiler.
机译:在循环流化床(CFB)锅炉操作中购买吸附剂的所需支出通常是工厂的运营预算中的重要项目。这一要求是锅炉吸附剂用法的函数和送到锅炉的吸附剂的成本。虽然后者可以容易地估计,但预测前者是一个挑战。这种手段的可用性将是CFB发电厂的好处,该工厂具有若干可用的吸附剂来源,目标是最大限度地减少工厂合规性成本。这里介绍了一种预测吸附剂消耗的方法,并且已经基于用于锅炉的植物操作数据开发,其中在类似的烧制条件下测试了几种石灰石和多氏铁酮产品。该方法考虑锅炉泡出和底灰流之间的钙和硫的特征分配,吸附剂的饲料粒度分布,吸附剂的岩石特性。将吸附剂使用的预测与植物操作数据进行了比较了两种不同的岩浆类型。工厂运行数据使用了全负载操作。测试的五种吸附剂均来自宾夕法尼亚州,各自含有大于40重量%的CaO。在五种情况下,预测的吸附剂用法占锅炉平均全载吸附剂使用量的10%wt%。

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