运用SPSS统计分析影响大型火电机组SO2排放量因素的研究  

Statistical Analysis of Factors Affecting SO2 Emissions in Large Thermal Power Units using SPSS Software

作　　者：石敬华 刘常永 刁鸣雷 闫倩 时亦飞 Shi Jinghua;Liu Changyong;Diao Minglei;Yan Qian;Shi Yifei(Shandong Environmental Monitoring Center,Jinan 250101,China;School of Energy and Power Engineering,Shandong University,Jinan 250061,China)

机构地区：[1]山东省环境监测中心,山东济南250101 [2]山东大学能源与动力工程学院,山东济南250061

出　　处：《环境科学与管理》2019年第10期123-128,共6页Environmental Science and Management

基　　金：山东省重点研发计划(项目号:2018GSF121005);山东大学交叉学科培育项目(项目号:2018JC049)

摘　　要：湿法烟气脱硫作为一种相对成熟、效率较高的脱硫技术,在火电脱硫行业得到了广泛的应用,但在实际运行中该技术的脱硫效果受到各种因素的影响。研究中收集并分析了30万kW大型火电机组的SO 2排放数据及影响脱硫效率的相关变量数据,总结分析大型火电机组SO 2排放的统计学规律,计算各影响因素与SO 2排放量的相关系数并排序,为脱硫系统运行参数优化、效率提升提供技术参考。Wet flue gas desulfurization,as a relatively mature and efficient desulfurization technology,has been widely used in thermal power desulfurization industry.But the desulfurization effect of this technology is affected by various factors in practical operation.In this study,the SO 2 emission data of 300,000 kW thermal power units and related variable data affecting desulfurization efficiency were collected and analyzed.The statistical law of SO 2 emission of large thermal power units was summarized and analyzed.The correlation coefficients between the influencing factors and SO 2 emission were calculated and sequenced.This study provides technical reference for operation parameter optimization and efficiency improvement of desulfurization system.

关 键 词：火力发电 湿法脱硫 影响因素 SPSS软件 统计分析 

分 类 号：X830.2[环境科学与工程—环境工程]