This article focuses on iodine determination by microwave plasma torch atomic emission spectrometry （MPT-AES） coupled with online preconcentration vapor generation method. A new desolvation device, multistrand Nafio...This article focuses on iodine determination by microwave plasma torch atomic emission spectrometry （MPT-AES） coupled with online preconcentration vapor generation method. A new desolvation device, multistrand Nafion dryer, was used as the substitute for condenser desolvation system. Some experimental conditions, such as preconcentration time, acidity of sample solution, rinsing solution acidity and dynamic linear range were investigated and optimized. The new desolvation system eliminates the problem of decreasing emission intensity of I（I） 206.238 nm line with the increase of working time on a conventional condenser desolvation system, thus greatly improving the reproducibility.展开更多
为了保障节能发电调度中煤耗实时在线监测系统的准确性,减少煤质的复杂性和人为离线输入的不确定性对锅炉效率在线计算造成的偏差,采用统计分析和聚类计算等方法,构建了针对特定区域电厂的煤质数据库。结果表明,所构建的"虚拟煤质&...为了保障节能发电调度中煤耗实时在线监测系统的准确性,减少煤质的复杂性和人为离线输入的不确定性对锅炉效率在线计算造成的偏差,采用统计分析和聚类计算等方法,构建了针对特定区域电厂的煤质数据库。结果表明,所构建的"虚拟煤质"计算发热量和实际煤质的化验发热量误差在0-600 k J/kg以内的占到92.4%,总体匹配度较好。实际应用中,取用的虚拟煤质库中的发热量与电厂当天的化验值保持高度一致,最大误差控制在700 k J/kg以内。展开更多
基金the Key Project for Science and Technology Development of Jilin Province, China(No.20010306-1)the China’s Post-doctoral Science Fund(No.20040350561).
文摘This article focuses on iodine determination by microwave plasma torch atomic emission spectrometry （MPT-AES） coupled with online preconcentration vapor generation method. A new desolvation device, multistrand Nafion dryer, was used as the substitute for condenser desolvation system. Some experimental conditions, such as preconcentration time, acidity of sample solution, rinsing solution acidity and dynamic linear range were investigated and optimized. The new desolvation system eliminates the problem of decreasing emission intensity of I（I） 206.238 nm line with the increase of working time on a conventional condenser desolvation system, thus greatly improving the reproducibility.
文摘为了保障节能发电调度中煤耗实时在线监测系统的准确性,减少煤质的复杂性和人为离线输入的不确定性对锅炉效率在线计算造成的偏差,采用统计分析和聚类计算等方法,构建了针对特定区域电厂的煤质数据库。结果表明,所构建的"虚拟煤质"计算发热量和实际煤质的化验发热量误差在0-600 k J/kg以内的占到92.4%,总体匹配度较好。实际应用中,取用的虚拟煤质库中的发热量与电厂当天的化验值保持高度一致,最大误差控制在700 k J/kg以内。
