论文标题:锅炉受热面灰污监测及吹灰优化数学模型及其软件开发
The Mathematical Models and Software Developing of Ash Monitoring and Sootblowing Advisory for Coal-Fired Boilers
论文作者
论文导师 雎刚,论文学位 硕士,论文专业 热能工程
论文单位 东南大学,点击次数 87,论文页数 70页File Size574K
2005-03-18论文网 http://www.lw23.com/lunwen_87532012/
ash monitor ;sootblowing; flue gas’s temperature; software
燃煤锅炉普遍存在受热面积灰问题,预防和减轻锅炉受热面积灰结渣是保证锅炉安全经济运行的重大问题之一。目前,我国电站锅炉吹灰缺少对受热面灰污程度的监测,这样的吹灰方式带有很大的盲目性。因此,论文以锅炉受热面灰污监测模型及吹灰优化为研究内容,并进行相关软件的开发,具有重要的应用研究价值。 论文对电站锅炉受热面灰污状态监测及吹灰优化问题进行了深入的研究,并在此基础上研制开发相关的应用软件,完成的主要研究工作和创新性的研究成果如下: 1.建立了锅炉清洁受热面传热量的计算模型。该模型主要根据锅炉受热面的布置特性和结构特性、烟气和工质的物理特性、流速、温度等进行受热面理想传热系数的计算,进而求取锅炉清洁受热面换热量。 2.建立了基于统计分析的锅炉清洁受热面传热量的计算模型。由于模型的建立是基于实际运行样本数据,因此计算结果更能反映清洁受热面的真正状态。 3.提出了一种锅炉高温区烟气温度的计算模型。该模型只需要煤的工业成分便可进行计算,并具有足够的精度,为最终实现锅炉受热面的灰污监测提供了可能性。 4.在实现锅炉受热面灰污监测的基础上,提出了根据积灰损失与吹灰引起损失之和最小的原则确定最佳吹灰时间间隔的吹灰优化方案。 5.在上述工作的基础上,开发了锅炉受热面灰污监测及吹灰运行优化软件。对软件的界面、程序结构及使用方法进行了详细的介绍。
Any heating surface has ash fouling ubiquitously in coal-fired boilers, preventing and alleviating ash fouling of heating surfaces is one of the most important problems that ensure the safety and efficiency of boilers. For the moment, sootblowing for coal-fired boilers in power plants lack the inspecting to the heating surfaces. This method is very blindness, so there is the important value that study ash monitoring and sootblowing optimizing and develop correlative software in this paper. The studying works and productions in this paper are as follows: 1. Modeling the heat transfer capacity of cleanly heating surfaces. This model can calculate the ideal heat transfer coefficient and hear transfer capacity based on boilers’framework and the characteristic of flue gas and medium. 2. Modeling the heat transfer capacity of cleanly heating surfaces based on statistical analysis. This model can reflect the facticity of cleanly heating surfaces. 3. Modeling the temperature of flue gas in high temperature regions. This model only need industrial component of coal and has enough precision. 4. Bringing forward the scheme of sootblowing optimizing that confirm time- interval of sootblowing with maximum economization. 5. Developing the ash monitoring and sootblowing advisory system software for coal-fired boilers in power plants and introducing the interfaces, framework and application of this software detailedly.
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