【摘要】：本文以某電廠超超臨界百萬(wàn)機(jī)組為背景,對(duì)機(jī)組冷端系統(tǒng)進(jìn)行能效監(jiān)測(cè)、分析、評(píng)價(jià)與診斷。冷端系統(tǒng)對(duì)電廠能效水平具有較大影響,是保證電廠高效經(jīng)濟(jì)安全運(yùn)行的重要部分,因此需重點(diǎn)研究。首先,對(duì)某電廠冷端系統(tǒng)設(shè)備組成、功能及規(guī)格進(jìn)行了詳細(xì)的分析,并作出冷端系統(tǒng)流程圖與設(shè)備樹(shù)。依據(jù)三個(gè)原則,選取合適的指標(biāo)與參數(shù),在此基礎(chǔ)上構(gòu)建冷端系統(tǒng)能效指標(biāo)體系,搭建冷端系統(tǒng)數(shù)學(xué)模型。然后,采用基于數(shù)據(jù)挖掘(k均值聚類(lèi))的方法獲取基準(zhǔn)值,并結(jié)合EBSILON仿真平臺(tái)對(duì)所挖掘的基準(zhǔn)值進(jìn)行驗(yàn)證。利用耗差因子分析原理,對(duì)冷端系統(tǒng)指標(biāo)類(lèi)耗差因子與參數(shù)類(lèi)耗差因子分別進(jìn)行詳細(xì)分析研究。依據(jù)評(píng)優(yōu)系數(shù)、評(píng)差系數(shù)對(duì)所有能效指標(biāo)進(jìn)行單指標(biāo)評(píng)價(jià),綜合得到冷端系統(tǒng)的能效評(píng)價(jià)評(píng)語(yǔ)。同時(shí)對(duì)不同工況、不同循環(huán)水溫度工況合理安排循環(huán)水泵運(yùn)行方式。根據(jù)能效評(píng)價(jià)結(jié)果,對(duì)冷端系統(tǒng)實(shí)施能效診斷,分別建立了冷端系統(tǒng)能效異常知識(shí)庫(kù)、數(shù)據(jù)庫(kù)和模型庫(kù),利用故障樹(shù)分析和故障模式及影響分析的方法,結(jié)合導(dǎo)致冷端系統(tǒng)能效水平下降原因、影響、征兆、解決措施等因素,在能效水平異常時(shí),利用能效診斷規(guī)則IF-THEN,尋找到相應(yīng)的故障模式,提供了一套完整的能效診斷流程。最后闡述了某電廠超超臨界百萬(wàn)機(jī)組能效評(píng)價(jià)與故障診斷系統(tǒng)軟件的工程應(yīng)用。介紹了系統(tǒng)的開(kāi)發(fā)環(huán)境、軟件功能、預(yù)期目標(biāo)等,實(shí)現(xiàn)了本文理論研究的綜合應(yīng)用。并對(duì)冷端系統(tǒng)三種典型工況進(jìn)行了能效分析與評(píng)價(jià)實(shí)例探究,驗(yàn)證了所開(kāi)發(fā)系統(tǒng)模塊的有效性。
[Abstract]:In this paper, the energy efficiency monitoring, analysis, evaluation and diagnosis of the cold end system of a power plant are carried out under the background of ultra supercritical million units. The cold end system has great influence on the energy efficiency level of power plant, and is an important part of ensuring the efficient, economical and safe operation of the power plant, so it needs to be studied emphatically. Firstly, the composition, function and specification of the cold end system in a power plant are analyzed in detail, and the flow chart and equipment tree of the cold end system are made. According to the three principles, the appropriate indexes and parameters are selected, and then the energy efficiency index system of the cold end system is constructed, and the mathematical model of the cold end system is built. Then, the data mining (k-means clustering) method is used to obtain the datum value, and the datum value is verified with the EBSILON simulation platform. Based on the principle of loss factor analysis, the index class loss factor and parameter class consumption factor of cold end system are analyzed in detail. According to the evaluation coefficient and the difference coefficient, the single index evaluation of all energy efficiency indexes is carried out, and the evaluation of energy efficiency of the cold end system is synthetically obtained. At the same time, the operation mode of circulating water pump is arranged reasonably under different working conditions and different circulating water temperature conditions. According to the result of energy efficiency evaluation, the energy efficiency diagnosis of cold end system is carried out, and the knowledge base, database and model base of energy efficiency anomaly of cold end system are established, and the methods of fault tree analysis, fault mode and impact analysis are used. Combined with the causes, effects, symptoms, solutions and other factors that lead to the decline of energy efficiency level of cold end system, when the energy efficiency level is abnormal, the energy efficiency diagnosis rule (IF-THEN,) is used to find the corresponding fault mode. A complete process of energy efficiency diagnosis is provided. Finally, the engineering application of energy efficiency evaluation and fault diagnosis system software for ultra supercritical million units in a power plant is described. The development environment, software function and expected target of the system are introduced, and the comprehensive application of this paper is realized. An example of energy efficiency analysis and evaluation of three typical cold end systems is given to verify the effectiveness of the developed system modules.
【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(lèi)號(hào)】：TM621

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本文編號(hào)：2373995