【摘要】：目前,我國的工業(yè)鍋爐大部分都配備了控制系統(tǒng)。但是這些系統(tǒng)內(nèi)缺少了對鍋爐運(yùn)行能效指標(biāo)、在線能效診斷、性能評價(jià)等技術(shù)。因此,為火電廠鍋爐及其輔助系統(tǒng)提供對于能效指標(biāo)的在線監(jiān)測診斷系統(tǒng)是必不可少的。 針對以上問題,本文展開了對鍋爐及其輔助系統(tǒng)能效診斷方法的研究。首先建立鍋爐及其輔助系統(tǒng)能效指標(biāo)診斷樹,將能效指標(biāo)異常作為故障處理,逐級分析,確定影響能效指標(biāo)的因素集合。并將能效指標(biāo)影響因素分為運(yùn)行類和故障類因素。針對運(yùn)行類因素,采用了動態(tài)因素權(quán)重分析法、靈敏度分析法、偏差計(jì)算等計(jì)算模型,對運(yùn)行類因素進(jìn)行處理,確定運(yùn)行類影響因素能效指標(biāo)診斷系數(shù),確定主要運(yùn)行類能效指標(biāo)影響因素。并以漳澤電力河津發(fā)電廠#2機(jī)組進(jìn)行了案例分析。針對故障類影響因素,本文主要研究了受熱面積灰程度以及設(shè)備運(yùn)行狀態(tài)評價(jià)的研究,通過對積灰狀況以及性能評價(jià),尋找異常設(shè)備,確定影響能效指標(biāo)下降的設(shè)備故障原因。受熱面積灰程度研究中,主要計(jì)算了再熱器和水冷壁的積灰系數(shù)。設(shè)備性能評價(jià)中利用了模糊綜合評價(jià)的方法,對設(shè)備運(yùn)行性能進(jìn)行了評價(jià)。 確定了能效診斷模型之后,本文根據(jù)工程項(xiàng)目應(yīng)用驗(yàn)證了能效診斷模型。有效的將理論應(yīng)用與實(shí)際項(xiàng)目中,能效診斷工作的研究對于火電廠開展節(jié)能工作、提高火電廠利潤、提高火電廠競爭力具有重要意義。
[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.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM621.2

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