蒸汽锅炉作为控制装置的数学模型

Grishyn Maksym V., Matiko Fedir D., Tarakhtij Olga S., Zhanko Kristina O., Shynder Andriy A.
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摘要

这篇文章强调了与不可预测的停电、燃料供应的不确定性、煤炭质量的不可预测变化以及由于使用高灰分燃料而导致的燃煤火力发电厂基础设施的恶化相关的问题。解决这些问题的传统方法缺乏适应性和灵活性。本研究的目的是通过改进动力煤组成随机扰动下的动力煤质量管理模型,利用除尘系统中磨料的实时自动测量,提高燃煤火力发电厂锅炉机组的运行效率,从而延长其使用寿命。建立了煤质对火力发电厂蒸汽锅炉换热面冲蚀磨损影响的仿真模型,包括煤炭运输与供应模型、煤质控制模型和煤炭磨耗性模型。通过计算机浮选试验对比实验和单因素方差分析对模型进行了验证。实验结果表明,组均值误差一般不存在显著差异。还开发了一种方法来控制燃烧煤的质量时,磨料组成的供应商形成的煤块受到干扰。拟议的模型和方法有可能通过使用计算机综合系统来管理管道耐磨性和减少过早修理和更换设备的需要,以及确保燃料和磨料成分的令人满意的质量,即将管道的使用寿命固定在5-9年之内,而不是无意识地使用高度磨损的燃料,从而大大提高火力火力发电厂的效率。这将导致一家火力发电厂在一年内紧急关闭。本研究为改善燃煤火力发电厂的运行方式开辟了道路,扩大了对煤质与设备磨损关系的认识。然而,使用更大的数据集进行进一步的实证研究将有助于提高模型的准确性和通用性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical model of a steam boiler as a control plant
The article highlights the problems associated with unpredictable outages, uncertainties in fuel supply, unpredictable changes in coal quality, and deterioration of the infrastructure ofa thermal coal-fired power plant due to the use of high-ash fuels. Traditional methods of solving these problems lack adaptability and flexibility. The aim of the study was to improve the efficiency of operation of boiler units of thermal coal-fired powerplants, which consists in increasing the service life, by improving the models of thermal coal quality management under random perturbations of its composition using automated measurement of abrasive materials in the dust removal system in real time. A simulation model of the influence of coal quality on the erosion wear of heat exchange surfaces of a steam boiler of a thermal coal-fired power plant was developed, consisting of a model of coal transportation and supply, a model of coal quality control, anda model of coal abrasiveness. The models were validated using a computerized flotation test comparison experiment and a one-factor analysis of variance. The experimental results showed that the group mean errors generally do not differ significantly. A method was also developed for controlling the quality of combusted coal when the abrasive composition of the coal batch formed by the supplier is disturbed. The proposed models and methods have the potential to significantly improve the efficiency of thermalcoal-fired power plants through the use of computer-integrated systems for managing pipe wear resistance and reducing the need for premature repair and replacement of equipment, as well as ensuring satisfactory quality of fuel and abrasive compositions, namely, fixing the service life of pipes within 5-9 years, as opposed to the unconscious use of highly abrasive fuel, which will cause an urgent shutdown of a thermal coal-fired power plant within a year. This study opens the way to improving the operation of a thermal coal-fired power plant and expands the understanding of the relationship between coal quality and equipment wear. However, further empirical studies with a larger data set would be useful to improve the accuracy and versatility of the model
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