• Title/Summary/Keyword: Ash deposition propensity

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Consideration on the Prediction Approach of Ash Deposition Propensity in Coal-fired Boilers (석탄 보일러에서 회분 부착성향 예측 접근 방법에 대한 고찰)

  • Kim, Daehee;Choi, Sangmin;Kim, Jung-Rae
    • Journal of the Korean Society of Combustion
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    • v.22 no.4
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    • pp.27-34
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    • 2017
  • Various approaches have been proposed to predict the ash deposition (slagging and fouling) propensity of coal, which is essential in maintaining high efficiency and preventing corrosion/damage of a coal-fired boiler. The common method is to establish an index of the ash deposition propensity based on elementary coal composition and advanced characterization of ash properties, which is readily applicable to design, operation and maintenance of coal-fired boilers. Although many indexes have been developed for this purpose, their validity is still not satisfactory in actual applications to particular coal types or operating conditions. This paper reviews the status of predictive approaches for the ash deposition propensity, and assesses the performance of existing indexes by comparing the results for selected coals. This work will contribute to the development of a comprehensive and practical method for prediction of the ash deposition propensity.

Prediction of ash deposition propensity in a pilot-scaled pulverized coal combustion (미분탄 연소에 따른 슬래깅 예측 모델 개발 및 검증)

  • Jang, Kwonwoo;Han, Karam;Huh, Kang Y.;Park, Hoyoung
    • 한국연소학회:학술대회논문집
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    • 2013.06a
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    • pp.87-90
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    • 2013
  • In pulverized coal fired boilers, slagging and fouling may cause significant effect on the operational life of boiler. As increasing a consumption of low rank coal, slagging and fouling are main issues in pulverized coal combustion. This study predicts ash deposition propensity in a 0.7 MW pilot-scale furnace. Slagging model is employed as a User-Defined Function (UDF) of FLUENT and validated against measurement and prediction. The results show good agreement compared with experiment. There is need to development of a pulverized coal combustion and slagging analysis at low coal.

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Prediction of Slagging/Fouling Propensity of Coal Ash (석탄 회분의 Slagging/Fouling 예측)

  • Lee, Si-Hyun;Park, Chu-Sik;Choi, Sang-Il;Shon, Eung-Kwon
    • 한국연소학회:학술대회논문집
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    • 1995.06a
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    • pp.91-103
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    • 1995
  • In recent years, significant advances have been made in the development of methods to predict ash behavior in utility boilers. This paper provides an overview of methods used to assess and predict ash formation and deposition. It has discussed some of the key problems associated with the formation and deposition of ash during the combustion of pulverized coal. Although considerable progress has been made in understanding of the fundamental mechanisms of ash formation, transport, growth, and strength development, there is still much work to be done. There is a need to develop quantitative relationships between the characteristics of the entrained ash and the physical properties of ash deposits that influence deposit growth, strength development, and cleanability. Also data from bench-scale, pilot-scale, and full-scale units are needed in order to determine operating conditions which will minimize deposition problems, maximize efficiency, and reduce emissions.

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Advanced slagging propensity of coal and its assessment with the conventional indices (석탄회의 용융특성을 고려한 신개념 슬래깅 지수 평가)

  • Park, Ho Young;Im, Hyeon-Soo;Kim, Eui Hwan;Kim, Young Ju;Kim, Kyung Soo;Lee, Jeong Eun
    • Journal of Energy Engineering
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    • v.21 no.4
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    • pp.427-434
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    • 2012
  • The fuel characteristics and combustion behaviors of bituminous (Anglo) and sub-bituminous (Tanito) coals used in 500MW coal fired power plant have been investigated. With ashes of those coals, the ash fusibility is characterized with thermo mechanical analyzer, and the advanced ash slagging propensity, BHEL index, has been obtained. The melting-down of tanito coal ash happened in the temperature range of 1,200 to $1,250^{\circ}C$, and for anglo coal ash it occurred near $1,550^{\circ}C$. BHEL indices for two coals gives the high slagging propensity, and these are compared with the existing traditional indices which give different tendencies.