• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
风煤比、水煤比预测电煤比及在燃煤发电机组运行优化中的性能
  • Title

    Predicting the electricity coal ratio using the wind coal ratio and water coal ratioand its application in coal-fired generating unit operation optimization

  • 作者

    高飞张强甄志广王健墨庆锋周远科王志杨昊靖卓然周怀春

  • Author

    GAO Fei;ZHANG Qiang;ZHEN Zhiguang;WANG Jian;MO Qingfeng;ZHOU Yuanke;WANG Zhi;YANG Hao;JING Zhuoran;ZHOU Huaichun

  • 单位

    石家庄良村热电有限公司江苏汉光智能科技有限公司中国矿业大学低碳能源与动力工程学院

  • Organization
    Shijiazhuang Liangcun Thermal Power Co.,Ltd.
    Jiangsu Hanguang Intelligent Technology Co.,Ltd.
    School of Low-carbon Energy and Power Engineering,China University of Mining and Technology
  • 摘要
    智能发电背景下需深入探讨对燃煤发电机组运行数据深入分析、利用的方法。机组运行经济性通常用发电(供电)煤耗来表征,实质上是燃料量与发电量的比值。提出用电煤比-发电量与燃料量的比值来计算机组运行经济性,形成风煤比、水煤比、电煤比全部以单位燃料量为基准来计量的燃煤机组主要概念体系。与煤耗越低、经济性越好相反,电煤比越高、经济性越好。根据某600MW燃煤发电机组W火焰锅炉实际运行数据计算电煤比、风煤比、水煤比,并用风煤比和水煤比通过二次函数预测(拟合)电煤比的变化,预测效果较好。二次函数的变化规律和机组当前风煤比和水煤比的取值范围,可为机组运行优化调整风煤比、水煤比提供定量依据。炉内三维燃烧在线监测及锅炉闭环优化控制系统的试验结果表明,根据本文方法预测模型得到的风煤比和水煤比改进方向,与优化运行的实际参数的变化一致,试验前后该机组电煤比增加幅度达到2.42%,取得了改进机组运行经济性的实际效果,证明了本文分析方法的实用性。
  • Abstract
    In the context of intelligent power generation,it is necessary to explore in-depth methods for analyzing and utilizing the operational data of coal-fired power generation units. The economic performance of unit operation is usually characterized by the coal consumption of power generation (power supply),which is essentially the ratio of fuel consumption to power generation. This article proposes to usethe ratio of electricity to coal-the ratio of power generation to fuel to calculate the operating economy of a coal -fired boiler,forminga main conceptual system where the air coal ratio,water coal ratio,and electricity coal ratio are all measured based on unit fuel quantity.Contrary to the lower coal consumption and better economy,the higher the ratio of electricity to coal and the better the economy,indicatingthat the effective output generated by unit fuel consumption is the highest. Based on the actual operating data of a 600 MW coal-fired generating unit with a down-fired boiler,the electricity coal ratio,air coal ratio,and water coal ratio were calculated,and the air coal ratio andwater coal ratio were used to predict (fit) the changes in the electricity coal ratio through a quadratic function,with good prediction results.The variation law of the quadratic function and the range of values for the current air coal ratio and water coal ratio of the unit can providequantitative basis for optimizing and adjusting the air coal ratio and water coal ratio of the unit operation. The experimental results of theonline monitoring of three-dimensional combustion in the furnace and the closed-loop optimization control system of the boiler indicatethat the improvement direction of the air coal ratio and water coal ratio obtained from the prediction model based on this method is consistent with the changes in the actual parameters of the optimized operation. The increase in the electricity coal ratio of the unit before and after the experiment reached 2.42%,achieving practical results in improving the economic efficiency of the unit operation,and proving thepracticality of the analysis method in this paper.
  • 关键词

    燃煤发电机组风煤比水煤比电煤比经济性大数据分析

  • KeyWords

    coal-fired power generation unit;air coal ratio;water coal ratio;electricity coal ratio;economy;big data analysis

  • 基金项目(Foundation)
    国家重点研发计划资助项目(2023YFB4102800);国家自然科学基金重大科研仪器研制资助项目(51827808)
  • DOI
  • 引用格式
    高飞,张强,甄志广,等.风煤比、水煤比预测电煤比及在燃煤发电机组运行优化中的性能[J].洁净煤技术,2024,30(9):123-130.
  • Citation
    GAO Fei,ZHANG Qiang,ZHEN Zhiguang,et al.Predicting theelectricity coal ratio using the wind coal ratio and water coalratio and its application in coal-fired generating unit operation optimization[ J].Clean Coal Technology,2024,30(9):123-130.
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  • 图表
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    • 本文分析方法的逻辑运行

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主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会

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