| 生物质灰熔融温度预测模型的研究 |
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| 引用本文： | 阮芮彬,龙兵,刘志强,徐爱祥.生物质灰熔融温度预测模型的研究[J].动力工程学报,2013(6):484-489. |
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| 作者姓名： | 阮芮彬 龙兵 刘志强 徐爱祥 |
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| 作者单位： | 中南大学能源科学与工程学院;长沙金智工程咨询有限公司 |
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| 基金项目： | 中南大学中央高校基本科研业务费专项资金资助项目(2012zzts017);湖南省自然科学基金资助项目(11JJ22029) |
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| 摘 要： | 基于生物质灰成分和熔融温度实测数据构成的数据样本分析了灰成分对灰熔融性的影响,采用回归分析方法建立了灰熔融温度预测模型,并对回归方程的显著性及准确性进行了检验.结果表明:SiO2、CaO、K2O、SO3和P2O5对生物质灰熔融性的影响具有双重性;MgO和Na2O对生物质灰起助熔作用;该预测模型适用于预测生物质灰熔融温度,具有工程应用价值.
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| 关 键 词： | 生物质 灰成分 熔融温度 预测模型 结渣现象 灰熔融特性 |
Research on Prediction Model for Fusion Temperature of Biomass Ash |
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| RUAN Ruibin,LONG Bing,LIU Zhiqiang,XU Aixiang.Research on Prediction Model for Fusion Temperature of Biomass Ash[J].Journal of Power Engineering,2013(6):484-489. |
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| Authors: | RUAN Ruibin LONG Bing LIU Zhiqiang XU Aixiang |
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| Affiliation: | 1(1.School of Energy Science and Engineering,Central South University,Changsha 410083,China; 2.Changsha Jinzhi Engineering Consultation Co.,Ltd.,Changsha 410007,China) |
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| Abstract: | The influence of ash composition on its fusibility was analyzed using actual measurements from data samples,based on which a prediction model was established for the fusion temperature of ash by regression analysis method,and subsequently the significance and accuracy of relevant regression equations were verified.Results show that SiO2,CaO,K2O,SO3 and P2O5 have both positive and negative effects on the biomass ash fusibility,whereas MgO and Na2O assist the melting of biomass ash.The model is proved to be applicable to the prediction of biomass ash fusion temperature,and therefore may serve as a reference for actual engineering projects. |
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| Keywords: | biomass ash composition fusion temperature prediction model slagging phenomenon ash fusibility |
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