百萬超超臨界機(jī)組風(fēng)煙系統(tǒng)能效評(píng)價(jià)與診斷的研究
[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(xué)位授予單位】:華北電力大學(xué)(北京)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TM621
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 齊越;;基于熵權(quán)模糊綜合評(píng)價(jià)的火力發(fā)電廠選址[J];廣西電力;2016年02期
2 盛曦葵;;600MW機(jī)組空氣預(yù)熱器接觸式柔性密封改造[J];黑龍江科技信息;2015年26期
3 張興;張劍;陳濤;;大型火電機(jī)組風(fēng)煙系統(tǒng)典型故障分析[J];安徽電氣工程職業(yè)技術(shù)學(xué)院學(xué)報(bào);2015年03期
4 柯麗娜;;工業(yè)鍋爐熱效率遠(yuǎn)程在線監(jiān)測(cè)的不確定度分析[J];質(zhì)量技術(shù)監(jiān)督研究;2015年01期
5 賈常艷;;煤炭比重下降 電煤比重提高——《煤電節(jié)能減排升級(jí)與改造行動(dòng)計(jì)劃(2014-2020年)》[J];電器工業(yè);2014年10期
6 ;2014年《BP能源統(tǒng)計(jì)年鑒》中國(guó)能源調(diào)查[J];資源節(jié)約與環(huán)保;2014年08期
7 錢忠寶;;差異·權(quán)重·評(píng)標(biāo)方法定理簡(jiǎn)介[J];招標(biāo)采購(gòu)管理;2014年08期
8 邢希東;;鍋爐風(fēng)煙系統(tǒng)綜合單耗高的原因分析及解決[J];中國(guó)設(shè)備工程;2014年03期
9 劉家鈺;王宏;馬鳳;;電站鍋爐風(fēng)煙系統(tǒng)節(jié)能技術(shù)研究[J];風(fēng)機(jī)技術(shù);2013年05期
10 錢義生;;1000MW機(jī)組風(fēng)煙系統(tǒng)故障分析及優(yōu)化[J];浙江電力;2013年10期
相關(guān)碩士學(xué)位論文 前4條
1 蘇燁;基于證據(jù)推理的空冷機(jī)組能效評(píng)價(jià)方法研究[D];華北電力大學(xué);2015年
2 高芬芬;基于神經(jīng)網(wǎng)絡(luò)與模糊C均值聚類的鍋爐及其輔助系統(tǒng)能效診斷[D];華北電力大學(xué);2015年
3 王爭(zhēng)明;火力發(fā)電機(jī)組鍋爐及其輔助系統(tǒng)能效診斷方法的研究[D];華北電力大學(xué);2014年
4 馬悅;基于火電廠DCS數(shù)據(jù)的回轉(zhuǎn)式空氣預(yù)熱器運(yùn)行性能評(píng)價(jià)及其預(yù)測(cè)[D];山東大學(xué);2007年
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