火力发电机组锅炉及其辅助系统能效诊断方法的研究

发布时间：2018-12-28 19:37

【摘要】：目前,我国的工业锅炉大部分都配备了控制系统。但是这些系统内缺少了对锅炉运行能效指标、在线能效诊断、性能评价等技术。因此,为火电厂锅炉及其辅助系统提供对于能效指标的在线监测诊断系统是必不可少的。针对以上问题,本文展开了对锅炉及其辅助系统能效诊断方法的研究。首先建立锅炉及其辅助系统能效指标诊断树,将能效指标异常作为故障处理,逐级分析,确定影响能效指标的因素集合。并将能效指标影响因素分为运行类和故障类因素。针对运行类因素,采用了动态因素权重分析法、灵敏度分析法、偏差计算等计算模型,对运行类因素进行处理,确定运行类影响因素能效指标诊断系数,确定主要运行类能效指标影响因素。并以漳泽电力河津发电厂#2机组进行了案例分析。针对故障类影响因素,本文主要研究了受热面积灰程度以及设备运行状态评价的研究,通过对积灰状况以及性能评价,寻找异常设备,确定影响能效指标下降的设备故障原因。受热面积灰程度研究中,主要计算了再热器和水冷壁的积灰系数。设备性能评价中利用了模糊综合评价的方法,对设备运行性能进行了评价。确定了能效诊断模型之后,本文根据工程项目应用验证了能效诊断模型。有效的将理论应用与实际项目中,能效诊断工作的研究对于火电厂开展节能工作、提高火电厂利润、提高火电厂竞争力具有重要意义。
[Abstract]:At present, most industrial boilers in China are equipped with control system. However, these systems are lack of boiler operation energy efficiency index, online energy efficiency diagnosis, performance evaluation and other technologies. Therefore, it is necessary to provide on-line monitoring and diagnosis system for thermal power plant boiler and its auxiliary system. In view of the above problems, the energy efficiency diagnosis method of boiler and its auxiliary system is studied in this paper. Firstly, the energy efficiency index diagnosis tree of boiler and its auxiliary system is established. The abnormal energy efficiency index is regarded as the fault treatment, and the analysis is made step by step, and the set of factors affecting the energy efficiency index is determined. The influencing factors of energy efficiency index are divided into operation class and fault type factor. The dynamic factor weight analysis, sensitivity analysis, deviation calculation and other calculation models are used to deal with the operating class factors and determine the diagnostic coefficient of the energy efficiency index of the operation class influencing factors. Determine the main operating class of energy efficiency factors. A case study of # 2 unit in Zhangze Electric Power Plant and Hejin Power Plant is given. Aiming at the influence factors of fault type, this paper mainly studies the degree of heating surface ash deposition and the evaluation of equipment running state. Through the evaluation of ash deposition condition and performance, we find out abnormal equipment and determine the causes of equipment failure that affect the decrease of energy efficiency index. The ash deposition coefficient of reheater and water wall is mainly calculated in the study of ash deposition on heating surface. In the equipment performance evaluation, the fuzzy comprehensive evaluation method is used to evaluate the performance of the equipment. After the energy efficiency diagnosis model is determined, the energy efficiency diagnosis model is verified according to the application of the project. The research of energy efficiency diagnosis is of great significance for developing energy saving work, increasing profit and improving the competitiveness of thermal power plants.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM621.2

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