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1000MW超超临界塔式锅炉高温管屏优化吹灰研究与应用

Research And Application of Sootblowing Optimization Test for High Temperature Heating Surface for 1000MW Ultra Supercritical Tower Type Boiler

【作者】 王小芳

【导师】 陆方; 赖炎显;

【作者基本信息】 上海交通大学 , 动力工程, 2013, 硕士

【摘要】 随着锅炉容量的增大,布置方式的多样化,由大容量、高参数带来的受热面积灰过程更加复杂,同时由于电厂一般采用定时吹灰方式,存在一定的盲目性和浪费,因此,研究超超临界塔式锅炉受热面监测和优化吹灰问题就显得很有必要。本文主要基于热平衡和传热原理建立超超临界塔式锅炉半辐射半对流受热面的污染监测模型。论文针对超超临界塔式锅炉高温受热面的半辐射半对流特点建立了高温受热面污染监测模型,在电厂受热面进、出口烟温测点及机组运行实时数据采集系统的基础上,通过热力计算得出受热面灰污变化规律,并分析了灰污系数的影响因素。随后,在国内某1000MW超超临界塔式炉进行大量的吹灰前后对比试验,验证了受热面污染监测模型的正确性和适用性。最后在受热面污染监测模型的基础上提出了合理的吹灰方案,指导锅炉优化吹灰系统的运行。

【Abstract】 Boiler fouling process influenced by the larger sizes and higher parameters is becoming more complicated in accompany with the increase of boiler capacity and diversity of configuration. Boiler fouling together with the blindness in current timely soot-blowing strategy makes it necessary to study fouling monitoring and soot-blowing optimization for boilers of ultra-supercritical tower type units.In this paper, the boiler fouling monitoring system for half radiation and half convection heating surface for boilers of ultra-supercritical tower type units were developed on the bases of thermal balance and exchange principle. The fouling monitoring system is established for the high temperature which is on its modes of the half radiation and half convection thermal energy transport. The law for the increase of fouling is found by thermal dynamic calculation based on the inlet and outlet flue gas temperature measurement of heating surface and the real-time data acquisition system. And the impact factors for the heating surface fouling coefficient were also discussed. Subsequently, the fouling monitoring model is proved to be valid and practical throughout the analysis of a series of soot-blowing experiments on a domestic 1000 MW ultra supercritical tower type boiler. Finally, the reasonable soot-blowing project is presented on the bases of fouling monitoring model which guides the operation of the boiler soot-blowing optimizing system.

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