基于数据挖掘的燃煤电厂湿法脱硫系统优化方法  

Research on Optimization Method of Wet Desulfurization System in Coal-fired Power Plant Based on Data Mining

作　　者：张洪兵 吴炳坤 赵伟 赵志忠 张真龙 Zhang Hongbing;Wu Bingkun;Zhao Wei;Zhao Zhizhong;Zhang Zhenlong(Guizhou Wu River Hydropower Development Co.,Ltd.,Dalong Branch,Tongren Guizhou 554300)

机构地区：[1]贵州乌江水电开发有限责任公司大龙分公司,贵州铜仁554300

出　　处：《现代工业经济和信息化》2022年第4期101-103,共3页Modern Industrial Economy and Informationization

摘　　要：阐述了燃煤电厂烟气脱硫系统现状,从运行控制角度对影响脱硫效率的重要因素进行了分析,分析了现行燃煤电厂在运行方面存在的不足,介绍了基于数据挖掘的脱硫优化系统的基本原理和实现功能,对湿法脱硫的系统优化和燃煤电厂的节能降耗具有一定的参考价值。This paper expounds the present situation of flue gas desulfurization system in coal-fired power plants,analyzes the important factors influencing the desulfurization efficiency from the angle of Operation Control,and analyzes the insufficiency of the present coal-fired power plants in operation,this paper describes the basic principle and realization function of desulfurization optimization system based on data mining,which has certain reference value for system optimization of wet desulfurization and energy saving of coal-fired power plant.

关 键 词：石灰石-石膏湿法烟气脱硫系统 数据挖掘 烟气脱硫运行优化 

分 类 号：X773[环境科学与工程—环境工程]