基于能流分析的空调系统运行和控制水平评估方法研究

发布时间：2018-06-13 01:15

本文选题：控制完善度 + 评估　；参考：《上海交通大学》2014年博士论文

【摘要】：在建筑空调系统的实际运行过程中，空调系统的运行效率受到空调系统的控制策略和系统设备匹配程度等诸多因素的影响。对于空调系统运行和控制水平的评估，目的是为了发现运行和控制中存在的问题及挖掘其改进的潜力。通过对空调系统及其子系统各部分节能潜力以及运行效率进行分析和评估，，能够更有效的发现空调系统运行和控制中所存在的缺陷，有针对性的提出优化策略，从而最终提高空调系统的运行效率。因此对于空调系统运行和控制水平评估方法的研究对于空调系统的高效运行以及节能优化具有十分重要的意义。本文建立了航站楼建筑及空调系统仿真模型用以获得空调系统的运行参数，并通过设置虚拟内负荷参数的方法提高了仿真模型的计算精度。基于仿真模型，对空调系统的运行进行了能效和关联分析，提出了多种优化控制策略用以优化空调系统的运行。基于热经济学结构理论建立了以空调系统为对象的能流模型，通过能流模型获得了空调系统及其各组元的单位火用耗系数、火用效率以及火用损率等参数，提出了组元优化优先级评估指标用以分析空调系统各组元优化潜力。在能流分析的基础上，提出以空调系统实际控制条件下运行状态与理想控制条件下运行状态的偏差为指标对空调系统的运行和控制水平进行评估的方法，该指标在文中被定义为“控制完善度”。在此基础上，首先结合能流模型和PSO（particle swarm optimization）算法构建“条件理想运行状态”计算模型，获得了空调系统条件理想运行状态，即基于一定约束条件的空调系统理想控制条件下的运行状态。提出以条件理想运行状态为评估基准，条件理想运行状态的控制完善度为指标的评估方法。以条件理想运行状态的控制完善度为指标分析和评估了不同控制策略下空调系统及其子系统的运行和控制水平。然后，指出了采用条件理想运行状态作为评估基准用于评估和分析空调系统运行和控制水平以及节能潜力的不足，通过DEA（dataenvelopment analysis）方法构建空调系统生产前沿面，获得基于空调系统生产前沿面的理想运行状态，将其定义为“理想运行状态”，提出以该理想运行状态为评估基准，以理想运行状态的控制完善度为指标的评估方法。采用理想运行状态的控制完善度为指标评估了不同控制策略下空调系统运行和控制水平，分析了空调系统的理论节能潜力。最后，综合上述评估基准和指标，建立了空调系统运行和控制水平多层面评估模型，该模型结合了空调系统能流模型、条件理想运行状态计算模型以及基于DEA方法构建的空调系统生产前沿面，将对于空调系统运行和控制水平的评估分为系统层面、子系统层面以及组元层面。结果显示，该模型能够通过组元优化优先级、系统及子系统控制完善度、控制完善度等级值等指标，从多层面的角度对空调系统的运行和控制水平进行联合评估和优化指导。
[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.
【学位授予单位】：上海交通大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：TU831

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