基于冰蓄冷系统的组合式空气处理机组的操作优化研究

发布时间：2018-06-28 01:01

本文选题：组合式空气处理机组 + 冰蓄冷空调系统　；参考：《杭州电子科技大学》2017年硕士论文

【摘要】：随着空调和制冷技术的普及,空调系统的能耗问题日益凸显,据统计,我国的空调能耗约占社会总能耗的20%。空气处理机组为空调温湿度控制系统的主要装置,空气处理机组在运行过程中表冷器的降温除湿及加热器的再加热造成了冷热抵消现象,存在严重的能量浪费问题。如何在满足房间舒适度的情况下降低空调系统能耗成为研究的热点。冰蓄冷系统具有移峰填谷、平衡电力负荷的特点,能够为用户节约可观的运行费用,在办公大楼、体育馆等建筑中有着广泛的应用。国内外对空气处理机组和冰蓄冷系统展开了较多的研究,但很少有学者将两者结合起来进行优化研究。本课题对基于冰蓄冷系统的组合式空气处理机组的操作优化展开研究,旨在探讨操作优化与房间舒适度、系统能耗及系统能耗费用之间的关系。具体工作如下:(1)在分析组合式空气处理机组运行原理基础上,建立空调温湿度控制系统的数学模型,仿真分析控制变量对房间温湿度的影响,为下文的操作优化奠定基础。(2)在分析冰蓄冷系统的运行原理基础上,研究冰蓄冷系统的系统配置、运行方式、控制策略与优化控制模型。在夏季工况下,针对实际的冰蓄冷系统,采用优化控制策略,得出夏季工况下典型设计日逐时蓄冰罐和制冷机组供冷量的最优分配比例。(3)根据舒适度模型建立控制精度目标函数,依据蓄冰罐和制冷机组冷负荷分配比例建立能耗费用目标函数,并建立考虑房间舒适度和系统能耗费用的优化操作目标函数,采用联立求解方法将微分代数方程(DAOPs)转化为非线性规划问题求解。(4)利用MATLAB和GAMS软件进行仿真,得出以下三个结论:1、在满足房间舒适度容限下,当室温跟踪误差最大为0.81?c,室内含湿量跟踪误差最大为0.79 g/kg时,系统可实现13%以上的节能效果;2、考虑电价和外部环境对冰蓄冷空调系统操作优化的影响,提出了动态调整目标函数权重的策略,研究结果表明该策略进一步降低了4.3%的系统能耗;3、利用夏季工况下的操作优化方法,探讨不同季节工况下冰蓄冷空调系统的操作优化情况。研究结果表明该操作优化方法在不同季节工况下也能节约较多的能耗,且因蓄冰罐的作用,其他季节工况下的节约能耗费用效果比夏季工况下更好。本研究对冰蓄冷空调系统的节能优化控制具有一定的意义。
[Abstract]:With the popularization of air conditioning and refrigeration technology, the energy consumption of air conditioning system has become increasingly prominent. According to statistics, the energy consumption of air conditioning in China accounts for about 20 percent of the total energy consumption of society. The air treatment unit is the main device of the air conditioning temperature and humidity control system. The cooling and dehumidification of the surface cooler and the reheating of the heater during the operation of the air treatment unit cause the phenomenon of cold and heat cancellation and the serious energy waste problem exists. How to reduce the energy consumption of air conditioning system under the condition of satisfying room comfort has become a hot research topic. Ice storage system has the characteristics of shifting peak and filling valley, balancing power load, and can save considerable operating cost for users. It is widely used in office buildings, gymnasiums and other buildings. More researches have been done on air treatment units and ice storage systems at home and abroad, but few scholars have combined the two to optimize the research. In this paper, the operation optimization of combined air treatment unit based on ice storage system is studied in order to explore the relationship between operation optimization and room comfort, system energy consumption and system energy consumption. The specific work is as follows: (1) on the basis of analyzing the operation principle of combined air treatment unit, the mathematical model of air conditioning temperature and humidity control system is established, and the influence of control variables on room temperature and humidity is analyzed by simulation. (2) on the basis of analyzing the operation principle of ice storage system, the system configuration, operation mode, control strategy and optimal control model of ice storage system are studied. In summer, the optimal control strategy is adopted for the actual ice storage system. The optimal distribution ratio of cooling capacity of typical design day by day for ice storage tank and refrigeration unit is obtained under summer conditions. (3) the objective function of control precision is established according to the comfort model. According to the ratio of cooling load distribution between ice storage tank and refrigeration unit, the objective function of energy consumption cost is established, and the optimal operation objective function considering room comfort and system energy consumption cost is established. Differential algebraic equations (DAOPs) are transformed into nonlinear programming problems by means of simultaneous solution method. (4) by using MATLAB and GAMS software, the following three conclusions: 1 are obtained, which satisfy the room comfort tolerance. When the maximum tracking error at room temperature is 0.81cand the maximum tracking error of indoor moisture content is 0.79 g/kg, the energy saving effect of the system can be over 13%. The influence of electricity price and external environment on the operation optimization of ice storage air-conditioning system is considered. The strategy of dynamically adjusting the weight of the objective function is proposed. The results show that the strategy further reduces the energy consumption of the system by 4.3%, and makes use of the operation optimization method under the summer operating conditions. This paper discusses the operation optimization of ice storage air conditioning system under different seasonal conditions. The results show that the operation optimization method can save more energy under different seasonal conditions, and because of the effect of ice storage tank, the cost saving effect of other seasonal conditions is better than that of summer conditions. This research has certain significance to the ice storage air-conditioning system energy-saving optimization control.
【学位授予单位】：杭州电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TB657.2

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