化工进展2016，Vol.35Issue(9)：2640-2646,7.DOI:10.16085/j.issn.1000-6613.2016.09.002
基于大数据分析的电厂锅炉水冷壁失效研究
Failure investigation on boiler water wall tubes in power plant by large data analysis
摘要
Abstract
This paper is based on the literature survey,after collecting the power plants’ water wall tube burst accident data,and making research on the 270 pieces of literature on boiler water wall tube explosion accident,it comes to the conclusion that the direct reasons for the tube explosion of boiler water wall in power plant are overheating and chemical corrosion which accounted for 21.27% and 18.73%,respectively. The improper boiling way and uneven grain size of burning fuel which serves as the primary causes accounted for 14.44% and the deposition jams on the wall which is one of the indirect causes accounted for 10.79%. The summation of these main reasons can make up for 65.23% in the total number of explosive leakage. When boiler water wall tube leakage happened,the above reasons were the first to be considered. Also,the material quality and abrasion are the explosion factors. Chemical corrosion is divided into fire side and water side by the occurred places,which account for 35.59% and 64.41%,respectively. The factors of the water side chemical corrosion can be classified into hydrogen corrosion accounted for 36.84%,alkali corrosion accounted for 21.05%,acid corrosion accounted for 15.79% and steam corrosion accounted for 11.84%,respectively. The summation of the four kinds of corrosion types can make up to 85.52% in the total number of corrosion factors. These are priorities in the factors that should be considered. In addition,it discusses the water wall failure of different units. The above conclusions have some certain effect on the finding of water wall leakage reasons in the existing plants,and these have a certain practical significance to ensure long-time stable, safe and economic operation of boilers.关键词
大数据分析/电厂锅炉/水冷壁/爆管/失效原因/不同功率Key words
large data analysis/power plant boiler/water wall tube/leakage/failure analysis/different units分类
能源科技引用本文复制引用
石荣雪,张适宜,张胜寒..基于大数据分析的电厂锅炉水冷壁失效研究[J].化工进展,2016,35(9):2640-2646,7.基金项目
中央高校基本科研业务费专项资金项目（2015XS118）。 （）
