【摘要】：中央空調(diào)系統(tǒng)能耗在建筑能耗中占很大比例,目前大多數(shù)中央空調(diào)系統(tǒng)均按照建筑最大負(fù)荷進(jìn)行設(shè)計(jì),而系統(tǒng)在滿負(fù)荷狀態(tài)下運(yùn)行的時(shí)間頻數(shù)很小,因此本文針對(duì)中央空調(diào)系統(tǒng)在部分負(fù)荷下的節(jié)能運(yùn)行控制方法進(jìn)行了研究。本文結(jié)合南京市內(nèi)某大型商場(chǎng)中央空調(diào)系統(tǒng)的節(jié)能改造工程,首先基于工程實(shí)測(cè)數(shù)據(jù),采用機(jī)理與辨識(shí)相結(jié)合的回歸分析方法建立了中央空調(diào)系統(tǒng)各主要設(shè)備的數(shù)學(xué)模型。通過(guò)分析系統(tǒng)各部件的節(jié)能運(yùn)行特性,提出了多臺(tái)冷水機(jī)組聯(lián)合運(yùn)行時(shí)的加減機(jī)和負(fù)荷分配優(yōu)化策略、部分負(fù)荷下多臺(tái)冷卻塔優(yōu)化運(yùn)行模式以及不同控制方式下并聯(lián)水泵的最佳運(yùn)行方式�；跓峤粨Q效率法研究了變風(fēng)量、變水量、變水溫、變新風(fēng)比等因素對(duì)末端表冷器熱工性能的影響,為中央空調(diào)系統(tǒng)“量”調(diào)節(jié)和“質(zhì)”調(diào)節(jié)提供了理論基礎(chǔ)。在綜合考慮室外露點(diǎn)溫度和末端除濕要求的前提下,采用極限機(jī)器露點(diǎn)溫度法,制訂了供冷季節(jié)一次回風(fēng)系統(tǒng)的冷凍水供水溫度策略。通過(guò)分析室外濕球溫度對(duì)冷卻塔出水溫度的影響,計(jì)算了冷卻水系統(tǒng)在不同負(fù)荷率和不同室外濕球溫度下的最優(yōu)冷幅。在優(yōu)化系統(tǒng)各設(shè)備運(yùn)行模式的基礎(chǔ)上以系統(tǒng)全局能耗最低為優(yōu)化目標(biāo),以各控制變量的變化范圍和各主要設(shè)備的換熱過(guò)程為約束條件,采用非線性規(guī)劃算法對(duì)夏季典型空調(diào)制冷日的中央空調(diào)系統(tǒng)運(yùn)行參數(shù)進(jìn)行了動(dòng)態(tài)優(yōu)化�；赟imulink仿真平臺(tái)對(duì)中央空調(diào)系統(tǒng)運(yùn)行能耗進(jìn)行了動(dòng)態(tài)仿真,驗(yàn)證了系統(tǒng)優(yōu)化參數(shù)的準(zhǔn)確性和可靠性,并進(jìn)一步利用示波器模塊觀察了各變量對(duì)中央空調(diào)系統(tǒng)總能耗的影響。根據(jù)系統(tǒng)運(yùn)運(yùn)行模式和運(yùn)行參數(shù)的優(yōu)化結(jié)果提煉出了基于自適應(yīng)模糊一PID控制的中央空調(diào)系統(tǒng)群控策略,并以實(shí)際工程為例,模擬計(jì)算了系統(tǒng)及其各部件在優(yōu)化控制模式和常規(guī)運(yùn)行模式下的功耗,研究表明,優(yōu)化控制后系統(tǒng)在供冷季節(jié)的總節(jié)能率達(dá)10%左右。
[Abstract]:The energy consumption of the central air conditioning system accounts for a large proportion of the building energy consumption. At present, most central air conditioning systems are designed according to the maximum building load, and the time frequency of the system running under the condition of full load is very small. Therefore, the energy-saving operation control method of central air-conditioning system under partial load is studied in this paper. In this paper, combined with the energy saving renovation project of central air conditioning system in a large shopping mall in Nanjing, the mathematical model of the main equipment of central air conditioning system is established based on the measured data of the project and the regression analysis method combining the mechanism and identification. Based on the analysis of the energy-saving operation characteristics of various components of the system, the optimization strategy of adding and reducing machines and load distribution during the combined operation of several chillers is put forward. The optimal operation mode of several cooling towers under partial load and the optimal operation mode of parallel pumps under different control modes. Based on the method of heat exchange efficiency, the effects of variable air volume, variable water temperature and variable fresh air ratio on the thermal performance of the terminal surface cooler are studied, which provides a theoretical basis for the "quantity" and "quality" regulation of the central air conditioning system. On the premise of considering the outdoor dewpoint temperature and the dehumidification requirement of the end, the cold water supply temperature strategy of the primary return air system in the cooling season was formulated by using the dewpoint temperature method of the limit machine. By analyzing the influence of outdoor wet bulb temperature on the outlet temperature of cooling tower, the optimal cooling amplitude of cooling water system under different load rates and different outdoor wet bulb temperatures was calculated. On the basis of optimizing the operation mode of each equipment of the system, the minimum global energy consumption of the system is taken as the optimization objective, and the range of control variables and the heat transfer process of the main equipment are taken as the constraint conditions. A nonlinear programming algorithm is used to dynamically optimize the operating parameters of central air conditioning system on typical cooling days of air conditioning in summer. Based on Simulink simulation platform, the operation energy consumption of central air conditioning system is dynamically simulated, which verifies the accuracy and reliability of the system optimization parameters. Furthermore, the influence of various variables on the total energy consumption of central air conditioning system is observed by using oscilloscope module. According to the optimization results of system operation mode and operation parameters, a group control strategy of central air conditioning system based on adaptive fuzzy-PID control is extracted, and the actual project is taken as an example. The power consumption of the system and its components in the optimal control mode and the conventional operation mode are simulated and calculated. The results show that the total energy saving rate of the system in the cooling season is about 10% after the optimal control.
【學(xué)位授予單位】：東南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TU831

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本文編號(hào)：2136199