| 含氟氯类危险废物焚烧灰渣的熔融特性研究 |
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| 引用本文： | 钱剑杰,蒋旭光,王飞,张月辉,沈兴龙. 含氟氯类危险废物焚烧灰渣的熔融特性研究[J]. 环境科学学报, 2011, 31(11): 2499-2505 |
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| 作者姓名： | 钱剑杰 蒋旭光 王飞 张月辉 沈兴龙 |
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| 作者单位： | 1. 浙江大学能源清洁利用国家重点实验室,杭州,310027
2. 浙江物华天宝能源环保有限公司,杭州,310053 |
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| 基金项目： | 国家重点基础研究发展计划(973)项目(No.2011CB201500);国家高技术研究发展计划(863)项目(No.2009AA064704);国家科技支撑计划项目(No.2007BAC27B04-3) |
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| 摘 要： | 为了解决低熔点含氟氯类危险废物（简称＂危废＂）在回转窑焚烧炉内燃烧时,灰渣熔化导致窑内结圈的问题,实验采用氧化物分析纯（SiO2、Al2O3、CaO、Fe2O3、Al2O3）和NaCl、KCl、NaF分析纯来模拟危废炉渣组分,研究了危废焚烧炉灰渣的熔融特性,并采用神经网络预测危废灰渣的熔融温度.结果表明,SiO2、Al...
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| 关 键 词： | 危险废物 化学组分 灰渣熔融温度 神经网络 |
| 收稿时间： | 2011-01-20 |
| 修稿时间： | 2011-03-16 |
Study on the melting characteristics of slag from the incinerator of hazardous wastes containing fluorine and chlorine |
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| QIAN Jianjie,JIANG Xuguang,WANG Fei,ZHANG Yuehui and SHEN Xinglong. Study on the melting characteristics of slag from the incinerator of hazardous wastes containing fluorine and chlorine[J]. Acta Scientiae Circumstantiae, 2011, 31(11): 2499-2505 |
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| Authors: | QIAN Jianjie JIANG Xuguang WANG Fei ZHANG Yuehui SHEN Xinglong |
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| Affiliation: | State Key Laboratory of Clean Energy Utilization (Zhejiang University), Hangzhou 310027,State Key Laboratory of Clean Energy Utilization (Zhejiang University), Hangzhou 310027,State Key Laboratory of Clean Energy Utilization (Zhejiang University), Hangzhou 310027,Zhejiang Best Energy & Environment Co. Ltd, Hangzhou 310053 and Zhejiang Best Energy & Environment Co. Ltd, Hangzhou 310053 |
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| Abstract: | While the hazardous wastes containing fluorine and chlorine were incinerated in the rotary kiln incinerator, the slag was melted because of the low fusion temperature. The molten slag stuck on the inner side of rotary kiln, leading to the instable operation of the incinerator. Analytical reagents (SiO2, Al2O3, CaO, Fe2O3, Al2O3, NaCl, KCl and NaF) were substituted for slag components of this kind of hazardous waste to investigate the melting characteristics. Neural network analysis was used to predict the slag fusion temperatures of hazardous wastes containing fluorine and chlorine. The experimental results showed that SiO2, Al2O3 and CaO increased the slag fusion temperature, and Na2O decreased fusion temperature sharply. Effect of NaF on slag fusion temperature of this kind of hazardous waste was dependent on the content of NaF. Neural network-predicted slag fusion temperatures agreed well with the experimental values. |
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| Keywords: | hazardous waste chemical components slag fusion temperature neural networks |
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