化工学报
化工學報
화공학보
JOURNAL OF CHEMICAL INDUSY AND ENGINEERING (CHINA)
2015年
8期
3218-3224
,共7页
李季%周加贝%朱家骅%夏素兰%葛敬%商剑峰%崔文鹏%刘项
李季%週加貝%硃傢驊%夏素蘭%葛敬%商劍峰%崔文鵬%劉項
리계%주가패%주가화%하소란%갈경%상검봉%최문붕%류항
吸收%增强因子%传质%磷石膏颗粒%CO2矿化
吸收%增彊因子%傳質%燐石膏顆粒%CO2礦化
흡수%증강인자%전질%린석고과립%CO2광화
absorption%enhancement factor%mass transfer%gypsum particles%CO2 mineralization
基于化学活性颗粒强化气液吸收机理,建立了磷石膏悬浮液强化氨法烟气CO2捕集模型。以液膜内量纲一传质距离λ?为特征参数,增强因子21//2E=λ?+qβλ?。用恒温反应器在不同搅拌转速及磷石膏颗粒固含量下实验测定CO2吸收增强因子对模型进行检验,结果表明:随颗粒固含量由5%增加到30%(质量分数),增强因子由1.69增加到2.10;而随搅拌转速从150 r·min?1增加到300 r·min?1,增强因子仅由1.75略增到1.80,表明磷石膏颗粒固含量及溶解速率是影响增强因子的控制性因素。实验结果与模型预测值吻合良好,偏差小于10%。
基于化學活性顆粒彊化氣液吸收機理,建立瞭燐石膏懸浮液彊化氨法煙氣CO2捕集模型。以液膜內量綱一傳質距離λ?為特徵參數,增彊因子21//2E=λ?+qβλ?。用恆溫反應器在不同攪拌轉速及燐石膏顆粒固含量下實驗測定CO2吸收增彊因子對模型進行檢驗,結果錶明:隨顆粒固含量由5%增加到30%(質量分數),增彊因子由1.69增加到2.10;而隨攪拌轉速從150 r·min?1增加到300 r·min?1,增彊因子僅由1.75略增到1.80,錶明燐石膏顆粒固含量及溶解速率是影響增彊因子的控製性因素。實驗結果與模型預測值吻閤良好,偏差小于10%。
기우화학활성과립강화기액흡수궤리,건립료린석고현부액강화안법연기CO2포집모형。이액막내량강일전질거리λ?위특정삼수,증강인자21//2E=λ?+qβλ?。용항온반응기재불동교반전속급린석고과립고함량하실험측정CO2흡수증강인자대모형진행검험,결과표명:수과립고함량유5%증가도30%(질량분수),증강인자유1.69증가도2.10;이수교반전속종150 r·min?1증가도300 r·min?1,증강인자부유1.75략증도1.80,표명린석고과립고함량급용해속솔시영향증강인자적공제성인소。실험결과여모형예측치문합량호,편차소우10%。
Based on reaction plane theory, a mass transfer model of gas-liquid reaction absorption enhanced by reactive particles was established for the absorption of CO2 into aqueous ammonia suspension with gypsum particles. The absorption enhancement factor was derived theoretically as21//2E=λ?+qβλ?with the dimensionless reaction positionλ?as the characteristic parameter. The validation experiments of CO2 absorption into the suspension was carried out in a thermostatic reactor and the enhancement factors were measured with different solids loadings at selected speeds. The results showed that the enhancement factor increased from 1.69 to 2.10 when the solids loadings varied from 5% to 30% (mass); and it changed sparingly from 1.75 to 1.80 as the stirred speed varied from 150 to 300 r·min?1. It revealed that the enhancement factors were controlled by the solids loading and dissolution rate of gypsum particles. The experimental data agreed well with the model prediction, with a maximum deviation of 10%.