百万超超临界机组风烟系统能效评价与诊断的研究
发布时间：2018-12-30 17:12
【摘要】：目前,我国的火力发电机组基本上都安装了集散控制系统和厂级信息监控系统,主要实现了实时显示重要参数、在线计算供电煤耗、锅炉效率等经济性指标的功能。但是这些系统缺少对锅炉各子系统在线能效评价与诊断等技术。风烟系统作为锅炉三大系统之一,其能效水平的高低直接影响机组的节煤潜力。因此为进一步提升机组的能效水平,对风烟系统提供能效评价与诊断系统是必不可少的。针对以上问题,本文对百万超超临界机组风烟系统能效评价及诊断方法进行了研究。首先,建立系统设备树,分析设备结构功能,构建能效指标体系。对于运行参数,进行数据判稳和工况划分,依据k-means聚类和参数特性,获取参数在各工况下的基准值,并且基于EBSILON验证了基准值的合理性。基于公式法得出参数、指标对供电煤耗率的耗差因子,采用EBSILON验证了耗差因子的准确性。建立评价模型,对参数、指标及系统进行能效评价,计算系统节煤潜力。对于评价结果较差、节煤潜力较大的情况,触发能效诊断。将故障树分析法引入到能效诊断中,针对能效异常模式建立能效诊断树,将能效影响因素分为运行可调参数和可维护故障两类。对于可维护故障,建立故障识别模型,对识别出的故障采取相应的处理措施;对运行参数偏离基准值,在排除设备故障的情况下采取相应的调节措施,从而提高系统的能效水平。本文针对某电厂1000MW超超临界#5锅炉风烟系统开展能效评价及诊断的研究,结果表明,以上方法能有效提高风烟系统的能效水平,为现场运行调整工作指明了方向,对提高运行调整工作的针对性具有一定意义。
[Abstract]:At present, the thermal power generating units in our country are basically equipped with distributed control system and factory level information monitoring system, which mainly realize the functions of displaying important parameters in real time, calculating the power supply coal consumption online, boiler efficiency and other economic indexes. However, these systems lack on-line energy efficiency evaluation and diagnosis of boiler subsystems. As one of the three major boiler systems, the level of energy efficiency directly affects the coal saving potential of the unit. Therefore, it is necessary to provide energy efficiency evaluation and diagnosis system for wind smoke system in order to further improve the energy efficiency level of the unit. In view of the above problems, this paper studies the energy efficiency evaluation and diagnosis method of a million ultra-supercritical units. Firstly, the system equipment tree is established, the structure and function of the equipment are analyzed, and the energy efficiency index system is constructed. For the operation parameters, the data are determined and the working conditions are divided. According to the k-means clustering and parameter characteristics, the datum values of the parameters under each working condition are obtained, and the rationality of the reference values is verified based on EBSILON. Based on the formula method, the parameters and indexes of the power supply coal consumption factor are obtained, and the accuracy of the consumption difference factor is verified by EBSILON. The evaluation model is established to evaluate the energy efficiency of parameters, indexes and systems, and the potential of coal saving is calculated. For the situation where the evaluation result is poor and the coal saving potential is great, the energy efficiency diagnosis is triggered. The fault tree analysis method is introduced into energy efficiency diagnosis, and the energy efficiency diagnosis tree is established according to the abnormal energy efficiency model. The factors affecting energy efficiency are divided into two categories: operational adjustable parameters and maintainable faults. For maintainable faults, the fault identification model is established, and the corresponding measures are taken to deal with the identified faults. When the operating parameters deviate from the reference value, the corresponding adjustment measures are taken to improve the energy efficiency level of the system under the condition of troubleshooting the equipment. In this paper, the energy efficiency evaluation and diagnosis of 1000MW ultra-supercritical # 5 boiler air smoke system in a power plant are studied. The results show that the above methods can effectively improve the energy efficiency level of the air smoke system, and point out the direction for the field operation adjustment work. It has certain significance to improve the pertinence of operation adjustment work.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM621
本文编号：2395877
[Abstract]:At present, the thermal power generating units in our country are basically equipped with distributed control system and factory level information monitoring system, which mainly realize the functions of displaying important parameters in real time, calculating the power supply coal consumption online, boiler efficiency and other economic indexes. However, these systems lack on-line energy efficiency evaluation and diagnosis of boiler subsystems. As one of the three major boiler systems, the level of energy efficiency directly affects the coal saving potential of the unit. Therefore, it is necessary to provide energy efficiency evaluation and diagnosis system for wind smoke system in order to further improve the energy efficiency level of the unit. In view of the above problems, this paper studies the energy efficiency evaluation and diagnosis method of a million ultra-supercritical units. Firstly, the system equipment tree is established, the structure and function of the equipment are analyzed, and the energy efficiency index system is constructed. For the operation parameters, the data are determined and the working conditions are divided. According to the k-means clustering and parameter characteristics, the datum values of the parameters under each working condition are obtained, and the rationality of the reference values is verified based on EBSILON. Based on the formula method, the parameters and indexes of the power supply coal consumption factor are obtained, and the accuracy of the consumption difference factor is verified by EBSILON. The evaluation model is established to evaluate the energy efficiency of parameters, indexes and systems, and the potential of coal saving is calculated. For the situation where the evaluation result is poor and the coal saving potential is great, the energy efficiency diagnosis is triggered. The fault tree analysis method is introduced into energy efficiency diagnosis, and the energy efficiency diagnosis tree is established according to the abnormal energy efficiency model. The factors affecting energy efficiency are divided into two categories: operational adjustable parameters and maintainable faults. For maintainable faults, the fault identification model is established, and the corresponding measures are taken to deal with the identified faults. When the operating parameters deviate from the reference value, the corresponding adjustment measures are taken to improve the energy efficiency level of the system under the condition of troubleshooting the equipment. In this paper, the energy efficiency evaluation and diagnosis of 1000MW ultra-supercritical # 5 boiler air smoke system in a power plant are studied. The results show that the above methods can effectively improve the energy efficiency level of the air smoke system, and point out the direction for the field operation adjustment work. It has certain significance to improve the pertinence of operation adjustment work.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM621
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