洁净煤技术
潔淨煤技術
길정매기술
CLEAN COAL TECHNOLOGY
2015年
2期
25-29,34
,共6页
晁俊楠%吕俊复%杨海瑞%王鹏%董卫果%张科达
晁俊楠%呂俊複%楊海瑞%王鵬%董衛果%張科達
조준남%려준복%양해서%왕붕%동위과%장과체
流化床%煤燃烧%固体颗粒对流换热%物理模型
流化床%煤燃燒%固體顆粒對流換熱%物理模型
류화상%매연소%고체과립대류환열%물리모형
fluidized bed%coal combustion%solid particle convective heat transfer%physical model
为深入理解流化床密相区内活性颗粒表面换热过程,论述了乳化相模型、单颗粒和双颗粒模型、变物性模型以及接触热阻模型等流化床密相区内固体颗粒对流换热模型的研究进展,提出了模型发展方向。当流化风速较低时,固体颗粒对流换热系数可采用乳化相模型进行预测。针对流化风速较大的工况,有学者提出了单颗粒和双颗粒模型、变物性模型以及接触热阻模型,并采用适当假设简化模型,然而模型的可靠性仍需进一步验证。最后提出现应加强固体颗粒对流换热过程的模型研究,提高模型在较宽风速范围内对固体颗粒对流换热系数预测的适用性;重点研究活性颗粒在密相区内的运动形式及活性颗粒表面固体颗粒对流换热关键参数测量方法。
為深入理解流化床密相區內活性顆粒錶麵換熱過程,論述瞭乳化相模型、單顆粒和雙顆粒模型、變物性模型以及接觸熱阻模型等流化床密相區內固體顆粒對流換熱模型的研究進展,提齣瞭模型髮展方嚮。噹流化風速較低時,固體顆粒對流換熱繫數可採用乳化相模型進行預測。針對流化風速較大的工況,有學者提齣瞭單顆粒和雙顆粒模型、變物性模型以及接觸熱阻模型,併採用適噹假設簡化模型,然而模型的可靠性仍需進一步驗證。最後提齣現應加彊固體顆粒對流換熱過程的模型研究,提高模型在較寬風速範圍內對固體顆粒對流換熱繫數預測的適用性;重點研究活性顆粒在密相區內的運動形式及活性顆粒錶麵固體顆粒對流換熱關鍵參數測量方法。
위심입리해류화상밀상구내활성과립표면환열과정,논술료유화상모형、단과립화쌍과립모형、변물성모형이급접촉열조모형등류화상밀상구내고체과립대류환열모형적연구진전,제출료모형발전방향。당류화풍속교저시,고체과립대류환열계수가채용유화상모형진행예측。침대류화풍속교대적공황,유학자제출료단과립화쌍과립모형、변물성모형이급접촉열조모형,병채용괄당가설간화모형,연이모형적가고성잉수진일보험증。최후제출현응가강고체과립대류환열과정적모형연구,제고모형재교관풍속범위내대고체과립대류환열계수예측적괄용성;중점연구활성과립재밀상구내적운동형식급활성과립표면고체과립대류환열관건삼수측량방법。
In order to grasp heat transfer rule at the surface of active particles in dense phase of fluidized bed,the research progress of the solid particle convective heat transfer models including the packet model,the single particle and two particle models,the variable property model and the surface resistance model were presented. The development direction of these models in application are proposed. The solid particle convective heat transfer coefficient could be predicted using the packet model when the fluidization velocity was relatively low. with some proper assumptions,the other three models were proposed as complements for the cases under higher fluidization velocities. However, the reliability of these models still need further verification. The applicability of present models under different operating conditions should be extended and further experimental investigations were needed to verify the form of the models and determine unknown parameters in the models.