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COMPARISON OF ASH DEPOSITION PROPENSITY PREDICTED BY INDICES WITH ACTUAL ASH DEPOSITION BEHAVIOUR

机译:指数预测的灰分沉积倾向与实际灰分沉积行为的比较

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Slagging and fouling of a boiler can cause significant disruption to boiler performance resulting in outages and significant loss of revenue in severe cases. Many power plants that utilise a wide variety of coals attempt to minimise fuel costs by blending cheap, poorer quality coals with more expensive coals which can result in many operational problems, one of them being slagging and fouling. Ash deposition indices and ash fusion temperatures are convenient methods of estimating ash deposition propensity of coals with unknown ash deposition characteristics. These techniques have been utilised widely for decades by power plant operators, coal procurement divisions and value-in- use models to estimate the impacts of ash constituents on slagging and fouling and consequently boiler performance. Ash deposition indices are typically calculated using ash constituents. Ash fusion temperatures are measured in the laboratory using the appropriate standard. It is widely known that ash fusion temperatures and ash deposition indices do not accurately predict ash deposition propensity yet they are still widely used as a better alternative is currently unavailable in the public domain. One of the problems with ash deposition indices is that they usually only apply to similar coals to the ones the index was developed from. Consequently, the indices may be inaccurate in predicting ash deposition propensity in other coals. The authors have significant experience in investigating ash deposition behaviour in Australian and international power plants. This paper compares predictions from various indices published in the literature with actual ash deposition behaviour for several Australian coals. The research provides an appreciation of how useful the indices are for real world use and what is required in an empirical ash deposition model to improve predictions over the use of traditional indices.
机译:锅炉的结渣和结垢可能会严重破坏锅炉的性能,从而在严重的情况下导致停运并严重损失收益。许多利用多种煤的发电厂试图通过将廉价,质量较差的煤与较昂贵的煤混合来降低燃料成本,这可能会导致许多运行问​​题,其中之一是结渣和结垢。灰分沉积指数和灰分熔融温度是估算具有未知灰分沉积特性的煤的灰分沉积倾向的便捷方法。这些技术已被电厂运营商,煤炭采购部门和使用价值模型广泛使用了数十年,以估算灰分成分对结渣和结垢的影响,并因此评估锅炉的性能。通常使用灰分成分来计算灰分沉积指数。灰熔融温度在实验室中使用适当的标准进行测量。众所周知,灰分熔化温度和灰分沉积指数不能准确预测灰分沉积的倾向,但它们仍被广泛使用,因为目前在公共领域尚无更好的替代方法。灰分沉积指数的问题之一是它们通常仅适用于与该指数所产生的煤相似的煤。因此,在预测其他煤中的灰分沉积倾向时,该指标可能不准确。作者在调查澳大利亚和国际发电厂的灰分沉积行为方面具有丰富的经验。本文将文献中发表的各种指标的预测结果与几种澳大利亚煤炭的实际灰分沉积行为进行了比较。该研究提供了对这些指标在现实世界中的有用性以及经验性灰分沉积模型在改进传统指标的使用方面的预测所需要的知识的赞赏。

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