Particle-size optimization for SO2 capture by limestone in a circulating fluidized bed

Jaakko Saastamoinen

Research output: Contribution to journalArticleScientificpeer-review

18 Citations (Scopus)

Abstract

Sulfur capture by limestone particles in a circulating fluidized bed is studied by modeling. Small particles are reactive but they have a short residence time depending on the separation efficiency of the cyclone. With large particles, the residence time is longer, but the rate and degree of sulfur capture are lower. Then the large particles removed in the bottom ash flow may have reached a lesser degree of conversion (from CaO to CaSO4), especially if the rate of attrition is low. The optimum particle size or particle-size distribution to minimize the limestone feed rate to achieve a given efficiency of sulfur capture is discussed. A methodology to calculate the optimum size is presented.
Original languageEnglish
Pages (from-to)7308-7316
JournalIndustrial & Engineering Chemistry Research
Volume46
Issue number22
DOIs
Publication statusPublished - 2007
MoE publication typeA1 Journal article-refereed

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Calcium Carbonate
Limestone
Sulfur
Fluidized beds
Particle size
Ashes
Coal Ash
Particle size analysis

Keywords

  • sulfur
  • sulfur capture
  • sulfur dioxide
  • circulating fluidized beds
  • fluidized beds
  • limestone

Cite this

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abstract = "Sulfur capture by limestone particles in a circulating fluidized bed is studied by modeling. Small particles are reactive but they have a short residence time depending on the separation efficiency of the cyclone. With large particles, the residence time is longer, but the rate and degree of sulfur capture are lower. Then the large particles removed in the bottom ash flow may have reached a lesser degree of conversion (from CaO to CaSO4), especially if the rate of attrition is low. The optimum particle size or particle-size distribution to minimize the limestone feed rate to achieve a given efficiency of sulfur capture is discussed. A methodology to calculate the optimum size is presented.",
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Particle-size optimization for SO2 capture by limestone in a circulating fluidized bed. / Saastamoinen, Jaakko.

In: Industrial & Engineering Chemistry Research, Vol. 46, No. 22, 2007, p. 7308-7316.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Particle-size optimization for SO2 capture by limestone in a circulating fluidized bed

AU - Saastamoinen, Jaakko

PY - 2007

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N2 - Sulfur capture by limestone particles in a circulating fluidized bed is studied by modeling. Small particles are reactive but they have a short residence time depending on the separation efficiency of the cyclone. With large particles, the residence time is longer, but the rate and degree of sulfur capture are lower. Then the large particles removed in the bottom ash flow may have reached a lesser degree of conversion (from CaO to CaSO4), especially if the rate of attrition is low. The optimum particle size or particle-size distribution to minimize the limestone feed rate to achieve a given efficiency of sulfur capture is discussed. A methodology to calculate the optimum size is presented.

AB - Sulfur capture by limestone particles in a circulating fluidized bed is studied by modeling. Small particles are reactive but they have a short residence time depending on the separation efficiency of the cyclone. With large particles, the residence time is longer, but the rate and degree of sulfur capture are lower. Then the large particles removed in the bottom ash flow may have reached a lesser degree of conversion (from CaO to CaSO4), especially if the rate of attrition is low. The optimum particle size or particle-size distribution to minimize the limestone feed rate to achieve a given efficiency of sulfur capture is discussed. A methodology to calculate the optimum size is presented.

KW - sulfur

KW - sulfur capture

KW - sulfur dioxide

KW - circulating fluidized beds

KW - fluidized beds

KW - limestone

U2 - 10.1021/ie070567p

DO - 10.1021/ie070567p

M3 - Article

VL - 46

SP - 7308

EP - 7316

JO - Industrial & Engineering Chemistry Research

JF - Industrial & Engineering Chemistry Research

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