【摘要】：目前,我國的火力發(fā)電機組基本上都安裝了集散控制系統(tǒng)和廠級信息監(jiān)控系統(tǒng),主要實現(xiàn)了實時顯示重要參數(shù)、在線計算供電煤耗、鍋爐效率等經(jīng)濟性指標的功能。但是這些系統(tǒng)缺少對鍋爐各子系統(tǒng)在線能效評價與診斷等技術。風煙系統(tǒng)作為鍋爐三大系統(tǒng)之一,其能效水平的高低直接影響機組的節(jié)煤潛力。因此為進一步提升機組的能效水平,對風煙系統(tǒng)提供能效評價與診斷系統(tǒng)是必不可少的。針對以上問題,本文對百萬超超臨界機組風煙系統(tǒng)能效評價及診斷方法進行了研究。首先,建立系統(tǒng)設備樹,分析設備結構功能,構建能效指標體系。對于運行參數(shù),進行數(shù)據(jù)判穩(wěn)和工況劃分,依據(jù)k-means聚類和參數(shù)特性,獲取參數(shù)在各工況下的基準值,并且基于EBSILON驗證了基準值的合理性�；诠椒ǖ贸鰠�(shù)、指標對供電煤耗率的耗差因子,采用EBSILON驗證了耗差因子的準確性。建立評價模型,對參數(shù)、指標及系統(tǒng)進行能效評價,計算系統(tǒng)節(jié)煤潛力。對于評價結果較差、節(jié)煤潛力較大的情況,觸發(fā)能效診斷。將故障樹分析法引入到能效診斷中,針對能效異常模式建立能效診斷樹,將能效影響因素分為運行可調(diào)參數(shù)和可維護故障兩類。對于可維護故障,建立故障識別模型,對識別出的故障采取相應的處理措施;對運行參數(shù)偏離基準值,在排除設備故障的情況下采取相應的調(diào)節(jié)措施,從而提高系統(tǒng)的能效水平。本文針對某電廠1000MW超超臨界#5鍋爐風煙系統(tǒng)開展能效評價及診斷的研究,結果表明,以上方法能有效提高風煙系統(tǒng)的能效水平,為現(xiàn)場運行調(diào)整工作指明了方向,對提高運行調(diào)整工作的針對性具有一定意義。
[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.
【學位授予單位】：華北電力大學(北京)
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TM621

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