本文選題：控制完善度 + 評估　； 參考：《上海交通大學(xué)》2014年博士論文

【摘要】：在建筑空調(diào)系統(tǒng)的實際運行過程中，空調(diào)系統(tǒng)的運行效率受到空調(diào)系統(tǒng)的控制策略和系統(tǒng)設(shè)備匹配程度等諸多因素的影響。對于空調(diào)系統(tǒng)運行和控制水平的評估，目的是為了發(fā)現(xiàn)運行和控制中存在的問題及挖掘其改進的潛力。通過對空調(diào)系統(tǒng)及其子系統(tǒng)各部分節(jié)能潛力以及運行效率進行分析和評估，，能夠更有效的發(fā)現(xiàn)空調(diào)系統(tǒng)運行和控制中所存在的缺陷，有針對性的提出優(yōu)化策略，從而最終提高空調(diào)系統(tǒng)的運行效率。因此對于空調(diào)系統(tǒng)運行和控制水平評估方法的研究對于空調(diào)系統(tǒng)的高效運行以及節(jié)能優(yōu)化具有十分重要的意義。 本文建立了航站樓建筑及空調(diào)系統(tǒng)仿真模型用以獲得空調(diào)系統(tǒng)的運行參數(shù)，并通過設(shè)置虛擬內(nèi)負荷參數(shù)的方法提高了仿真模型的計算精度。基于仿真模型，對空調(diào)系統(tǒng)的運行進行了能效和關(guān)聯(lián)分析，提出了多種優(yōu)化控制策略用以優(yōu)化空調(diào)系統(tǒng)的運行。 基于熱經(jīng)濟學(xué)結(jié)構(gòu)理論建立了以空調(diào)系統(tǒng)為對象的能流模型，通過能流模型獲得了空調(diào)系統(tǒng)及其各組元的單位火用耗系數(shù)、火用效率以及火用損率等參數(shù)，提出了組元優(yōu)化優(yōu)先級評估指標(biāo)用以分析空調(diào)系統(tǒng)各組元優(yōu)化潛力。在能流分析的基礎(chǔ)上，提出以空調(diào)系統(tǒng)實際控制條件下運行狀態(tài)與理想控制條件下運行狀態(tài)的偏差為指標(biāo)對空調(diào)系統(tǒng)的運行和控制水平進行評估的方法，該指標(biāo)在文中被定義為“控制完善度”。 在此基礎(chǔ)上，首先結(jié)合能流模型和PSO（particle swarm optimization）算法構(gòu)建“條件理想運行狀態(tài)”計算模型，獲得了空調(diào)系統(tǒng)條件理想運行狀態(tài)，即基于一定約束條件的空調(diào)系統(tǒng)理想控制條件下的運行狀態(tài)。提出以條件理想運行狀態(tài)為評估基準，條件理想運行狀態(tài)的控制完善度為指標(biāo)的評估方法。以條件理想運行狀態(tài)的控制完善度為指標(biāo)分析和評估了不同控制策略下空調(diào)系統(tǒng)及其子系統(tǒng)的運行和控制水平。 然后，指出了采用條件理想運行狀態(tài)作為評估基準用于評估和分析空調(diào)系統(tǒng)運行和控制水平以及節(jié)能潛力的不足，通過DEA（dataenvelopment analysis）方法構(gòu)建空調(diào)系統(tǒng)生產(chǎn)前沿面，獲得基于空調(diào)系統(tǒng)生產(chǎn)前沿面的理想運行狀態(tài)，將其定義為“理想運行狀態(tài)”，提出以該理想運行狀態(tài)為評估基準，以理想運行狀態(tài)的控制完善度為指標(biāo)的評估方法。采用理想運行狀態(tài)的控制完善度為指標(biāo)評估了不同控制策略下空調(diào)系統(tǒng)運行和控制水平，分析了空調(diào)系統(tǒng)的理論節(jié)能潛力。 最后，綜合上述評估基準和指標(biāo)，建立了空調(diào)系統(tǒng)運行和控制水平多層面評估模型，該模型結(jié)合了空調(diào)系統(tǒng)能流模型、條件理想運行狀態(tài)計算模型以及基于DEA方法構(gòu)建的空調(diào)系統(tǒng)生產(chǎn)前沿面，將對于空調(diào)系統(tǒng)運行和控制水平的評估分為系統(tǒng)層面、子系統(tǒng)層面以及組元層面。結(jié)果顯示，該模型能夠通過組元優(yōu)化優(yōu)先級、系統(tǒng)及子系統(tǒng)控制完善度、控制完善度等級值等指標(biāo)，從多層面的角度對空調(diào)系統(tǒng)的運行和控制水平進行聯(lián)合評估和優(yōu)化指導(dǎo)。
[Abstract]:In the actual operation of the building air conditioning system, the operating efficiency of the air conditioning system is affected by many factors such as the control strategy of the air conditioning system and the matching degree of the system and equipment. The purpose of the evaluation of the operation and control level of the air conditioning system is to discover the problems existing in the operation and control and to excavate the potential of its improvement. The energy saving potential and operation efficiency of all parts of the air conditioning system and its subsystems are analyzed and evaluated. The defects in the operation and control of the air conditioning system can be found more effectively. The optimization strategy is put forward to improve the operation efficiency of the air conditioning system. Therefore, the evaluation method for the operation and control level of the air conditioning system is made. The research is of great significance for the efficient operation of air conditioning system and the optimization of energy saving.
This paper establishes the simulation model of the terminal building and air conditioning system to obtain the operating parameters of the air conditioning system, and improves the calculation precision of the simulation model by setting the virtual internal load parameters. Based on the simulation model, the energy efficiency and correlation analysis of the air conditioning system are analyzed, and a variety of optimal control strategies are proposed for optimization. The operation of the air conditioning system.
Based on the thermal economic structure theory, the energy flow model based on the air conditioning system is established. Through the energy flow model, the unit exergy consumption coefficient, the exergy efficiency and the exergy loss rate are obtained by the energy flow model. The optimization priority evaluation index of the component is put forward to analyze the optimization potential of each component in the air conditioning system. On the basis of the analysis, a method is proposed to evaluate the operation and control level of the air conditioning system based on the operating state of the air conditioning system under the actual control condition and the operating state under the ideal control condition. The index is defined as "control perfection" in the paper.
On this basis, first of all, combining the energy flow model and the PSO (particle swarm optimization) algorithm, the "condition ideal running state" calculation model is constructed, and the ideal condition of the condition of the air conditioning system is obtained, that is, the running state of the air conditioning system under the ideal control condition based on certain constraint conditions. The control perfection of the condition ideal operating state is the evaluation method of the index. The operation and control level of the air conditioning system and its subsystems under different control strategies is analyzed and evaluated with the control perfection of the condition ideal operating state as the index.
Then, it is pointed out that the condition ideal running state is used as the evaluation criterion to evaluate and analyze the operation and control level of air conditioning system and the shortage of energy saving potential. Through the method of DEA (dataenvelopment analysis), the production frontier of air conditioning system is constructed, and the ideal running state based on the production frontier of air conditioning system is obtained. "Ideal running state", the evaluation method based on the ideal running state as the evaluation criterion and the control perfection of ideal running state is proposed. The operation and control level of air conditioning system under different control strategies is evaluated with the control perfection of ideal running state, and the theoretical energy saving potential of the air conditioning system is analyzed.
Finally, a multi level evaluation model of air conditioning system operation and control is established by combining the above criteria and indexes. The model combines the energy flow model of the air conditioning system, the ideal condition calculation model and the production front of the air conditioning system based on the DEA method, and the evaluation of the operation and control level of the air conditioning system is divided into the evaluation of the air conditioning system operation and control level. The system level, the subsystem level and the component level. The results show that the model can optimize the priority of the unit, control the perfection of the system and subsystem, control the grade of the degree of perfection and so on, and conduct joint evaluation and optimization guidance on the operation and control level of the air conditioning system from a multilevel angle.
【學(xué)位授予單位】：上海交通大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TU831

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