【摘要】：隨著我國建筑能耗占社會(huì)總能耗比例的增大,建筑節(jié)能,特別是大型公共建筑的節(jié)能越來越受重視。中央空調(diào)系統(tǒng)是大型公共建筑的能耗大戶,運(yùn)行過程中存在許多能源浪費(fèi)的現(xiàn)象,需要加強(qiáng)管理,合理設(shè)置運(yùn)行參數(shù)。冷源系統(tǒng)能耗占中央空調(diào)系統(tǒng)總能耗的比例超過60%,其運(yùn)行參數(shù)的優(yōu)化對(duì)整個(gè)系統(tǒng)的經(jīng)濟(jì)運(yùn)行具有重要意義。本文以廣州市某大型公共建筑中央空調(diào)冷源系統(tǒng)為研究對(duì)象。利用中央空調(diào)監(jiān)控管理系統(tǒng)采集到的冷源系統(tǒng)實(shí)際運(yùn)行數(shù)據(jù)建立冷水機(jī)組、水泵、冷卻塔的數(shù)學(xué)模型,并對(duì)各模型的準(zhǔn)確性進(jìn)行了驗(yàn)證。利用TRNSYS軟件建立自定義模塊的功能,將這些設(shè)備的數(shù)學(xué)模型編程后經(jīng)過編譯、鏈接生成TRNSYS可以直接調(diào)用的模塊。建立Matlab控制模塊和添加其他必要輔助模塊,最終組建成中央空調(diào)冷源系統(tǒng)TRNSYS仿真平臺(tái)。利用TRNSYS仿真平臺(tái)分析冷源系統(tǒng)各設(shè)備運(yùn)行效率的影響因素。在此基礎(chǔ)上,分別分析了冷凍水變流量和冷卻水變流量對(duì)冷凍水系統(tǒng)和冷卻水系統(tǒng)運(yùn)行能效的影響。結(jié)果表明,在一定條件下,存在使冷凍水系統(tǒng)運(yùn)行能效最高的冷凍水流量,同樣也存在使冷卻水系統(tǒng)運(yùn)行能效最高的冷卻水流量。通過選取優(yōu)化變量、確立目標(biāo)函數(shù)、確定和處理約束條件,建立了冷源系統(tǒng)運(yùn)行參數(shù)優(yōu)化模型,并利用遺傳算法對(duì)其進(jìn)行了求解。利用仿真平臺(tái),以某天建筑實(shí)際的冷負(fù)荷和室外溫濕度作為已知條件,對(duì)冷源系統(tǒng)的運(yùn)行參數(shù)進(jìn)行了優(yōu)化,得到使冷源系統(tǒng)運(yùn)行能效EERr最高的冷凍水供水溫度、冷凍水流量、冷卻水流量、冷卻塔風(fēng)量。通過與實(shí)際運(yùn)行參數(shù)對(duì)比,優(yōu)化后系統(tǒng)總能耗降低了7.07%,驗(yàn)證了該優(yōu)化方法的可行性。
[Abstract]:With the increase of building energy consumption to the total energy consumption, building energy efficiency, especially the energy conservation of large-scale public buildings, has been paid more and more attention. The central air conditioning system is a large energy consumption household in large public buildings. There are many phenomena of energy waste in the operation process. It is necessary to strengthen the management and set the operating parameters reasonably. The energy consumption of the cold source system accounts for more than 60% of the total energy consumption of the central air conditioning system. The optimization of the operation parameters is of great significance to the economic operation of the whole system. This paper takes the central air conditioning cold source system of a large public building in Guangzhou as the research object. The mathematical models of water chiller, water pump and cooling tower are established by using the actual operation data of the cold source system collected by the central air conditioning monitoring and management system, and the veracity of each model is verified. The function of custom modules is established by using TRNSYS software. The mathematical models of these devices are programmed and compiled, and the modules which can be directly invoked by TRNSYS are generated by linking. The Matlab control module and other necessary auxiliary modules are added, and finally the TRNSYS simulation platform of the central air conditioning cold source system is established. The TRNSYS simulation platform is used to analyze the influencing factors of the operation efficiency of each equipment in the cold source system. On this basis, the effects of variable flow rate of frozen water and variable flow rate of cooling water on the energy efficiency of refrigerated water system and cooling water system are analyzed respectively. The results show that, under certain conditions, there is the flow rate of frozen water which makes the refrigerated water system operate the most energy-efficient, and the cooling water flow rate which makes the cooling water system run the most energy-efficient. The optimization model of operation parameters of cold source system is established by selecting optimization variables, establishing objective function, determining and dealing with constraint conditions, and solving the optimization model by genetic algorithm. By using the simulation platform and taking the actual cooling load and outdoor temperature and humidity of the building as the known conditions, the operating parameters of the cold source system are optimized, and the water supply temperature and the flow rate of the frozen water with the highest energy efficiency of EERr for the operation of the cold source system are obtained. Cooling water flow, cooling tower air volume. Compared with the actual operation parameters, the total energy consumption of the optimized system has been reduced by 7.07%, and the feasibility of the optimization method has been verified.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TU831

【共引文獻(xiàn)】

相關(guān)博士學(xué)位論文 前5條

1 呂紅麗;Mamdani模糊控制系統(tǒng)的結(jié)構(gòu)分析理論研究及其在暖通空調(diào)中的應(yīng)用[D];山東大學(xué);2007年

2 顏永民;建筑冷熱源系統(tǒng)自適應(yīng)優(yōu)化控制模型的研究[D];湖南大學(xué);2007年

3 王麗麗;太陽能—相變蓄熱新風(fēng)控制系統(tǒng)的研究[D];北京郵電大學(xué);2010年

4 閆軍威;區(qū)域供冷系統(tǒng)節(jié)能優(yōu)化運(yùn)行與控制方法研究及系統(tǒng)實(shí)現(xiàn)[D];華南理工大學(xué);2012年

5 袁磊;河西走廊太陽能和CO_2空氣源熱泵聯(lián)合采暖系統(tǒng)研究[D];西南交通大學(xué);2013年

，

本文編號(hào)：2458232