电子厂房自然供冷空调系统应用的优化与其区域适应性研究

发布时间：2018-01-24 02:03

本文关键词： 区域适应性自然供冷空调系统冷却塔优化　出处：《上海交通大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着我国经济的不断发展，节能减排的重要性正在日益凸显。工业建筑作为社会用能大户，节能的重担更是责无旁贷。空调系统的能耗占到建筑能耗的30%~50%，更是节能改造或优化的重点对象。冷却塔自然供冷技术，正是在气象条件满足要求时，利用室外冷源承担系统部分或全部的负荷，进而使空调系统达到节能的一种技术。而电子工业在中国的发展已有80多年，成为了国民经济的重要支柱。本文所针对的对象是电子厂房，其特点为需要全年供冷且系统负荷具全年稳定、波动较小。在此背景下，本文以典型的电子厂房冷却塔自然供冷空调系统为研究对象进行了应用分析、节能分析及经济性分析等方面的研究。首先，根据系统的组成和特性，建立了部件的数学模型和电子厂房冷却塔自然供冷空调系统的数字仿真器。在此基础之上，，本文还设计了相应的系统运行模式控制策略、机组启停控制策略等基本控制系统。其次，根据所选取的具有典型气象条件的6个城市的气象数据，对电子厂房冷却塔自然供冷系统在不同区域应用的节能潜力进行了研究和分析。针对自然供冷时数这一指标的不足之处，提出了新的表征自然供冷系统节能潜力的指标——自然供冷节能率。这一指标能够很好的排除系统全年负荷的干扰，对系统所存在的节能潜力进行估计。再次，本文分析了影响电子厂房冷却塔自然供冷空调系统节能潜力的各大因素，并在建立的仿真器上测试了不同的优化方法对系统自然供冷节能率的影响，包括冷冻水供水温度设定值的改变、联合供冷模式下冷却水流量分配策略的优化、系统供冷模式切换策略的优化及设备（冷却塔、板式换热器）性能参数的优化。最后，为了分析各优化方法是否适用于所有地区的电子厂房冷却塔自然供冷空调系统，在仿真器上测试了6个典型城市的系统应用同一优化方法对系统自然供冷节能率的影响。研究结果表明，优化方法带来的节能潜力是随着区域的不同而不同的。文中还选取了动态投资回报周期这一指标对冷却塔自然供冷空调系统的经济性进行了简单的研究，结果表明不同的地区回报周期也是不一样的。
[Abstract]:With the continuous development of our economy, the importance of energy saving and emission reduction is becoming increasingly prominent. The energy consumption of air conditioning system accounts for 30% of the building energy consumption, and it is also the key object of energy saving transformation or optimization. Cooling tower natural cooling technology, when the meteorological conditions meet the requirements, the use of outdoor cold source to bear part or all of the system load. The electronic industry has been developed in China for more than 80 years and has become an important pillar of the national economy. The characteristics of this system are that it needs year-round cooling and the system load is stable throughout the year and the fluctuation is relatively small. Under this background, this paper takes the typical natural cooling air conditioning system of cooling tower of electronic powerhouse as the research object for application and analysis. Energy saving analysis and economic analysis and other aspects of research. Firstly, according to the composition and characteristics of the system, the mathematical model of the components and the digital simulator of the natural cooling air conditioning system of the cooling tower of the electronic powerhouse are established. This paper also designs some basic control systems, such as system operation mode control strategy, unit start and stop control strategy and so on. Secondly, according to the selected meteorological data of 6 cities with typical meteorological conditions. The energy saving potential of natural cooling system of cooling tower of electronic workshop in different regions is studied and analyzed. A new index, natural cooling energy saving rate, is proposed to characterize the energy saving potential of natural cooling system. This index can eliminate the disturbance of the system's annual load and estimate the energy saving potential of the system. Thirdly, this paper analyzes the factors that affect the energy saving potential of the natural cooling air conditioning system of the cooling tower of the electronic powerhouse, and tests the influence of different optimization methods on the natural cooling energy saving rate of the system on the established simulator. It includes the change of the set value of the refrigerated water supply temperature, the optimization of the cooling water flow distribution strategy under the combined cooling mode, the optimization of the system cooling mode switching strategy and the equipment (the cooling tower). Optimization of performance parameters for plate heat exchangers. Finally, in order to analyze whether the optimization methods are applicable to the natural cooling air conditioning system of the cooling tower of the electronic powerhouse in all regions. The effect of the same optimization method on the natural cooling energy saving rate of six typical cities was tested on the simulator. The energy saving potential brought by the optimization method is different with different regions. This paper also selects the dynamic return on investment cycle to study the economy of cooling tower natural cooling air conditioning system. The results show that different regions of the return cycle is also different.
【学位授予单位】：上海交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TB494

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