家用电冰箱能耗分析及测试系统设计
发布时间:2018-05-25 02:03
本文选题:冰箱 + 能耗分析 ; 参考:《中国计量学院》2014年硕士论文
【摘要】:家用电冰箱作为生活中必不可少的家电产品,,它的能耗问题备受关注。冰箱的节能方法有很多,如改善冰箱结构、改进温度控制系统等,但仍存在一些难度大、工作量大或成本高等不足。实验分析冰箱能耗时,需要通过冰箱能耗测试系统实现。但现在能耗测试系统存在不易维护、软件编程周期长等问题。 本课题围绕冰箱能耗分析和冰箱能耗测试两方面展开研究。一方面,从理论、实验两方面详细分析冰箱能耗的影响因素,提出一种温度设定值补偿方法;另一方面,设计一套冰箱能耗测试系统,实现准确、自动的测量冰箱耗电量。主要工作围绕以下五点展开: (1)冰箱能耗理论研究:根据冰箱的工作原理,并结合热力学知识总结出冰箱功率表达式;根据冰箱的结构以及冰箱运行状态,推导出冰箱能耗数学模型;通过该模型可得出冰箱能耗的影响因素有环境温度、冷冻室温度、冷藏室温度和压缩机时间。 (2)冰箱能耗测试系统设计:设计一套基于虚拟仪器的冰箱能耗测试系统。硬件部分包括恒温恒湿实验室、空调系统和综合测试系统;软件部分采用图形化语言LabVIEW,实现的主要功能有系统设置、参数设置、实时显示、历史数据查询和远程监控。 (3)冰箱能耗实验分析:进行冰箱能耗模型验证实验,结果表明冰箱能耗模型中耗电量计算值与实验测试值的平均相对误差为5.1%,证明该能耗模型具有可使用性;通过实验总结出冰箱实际使用过程中环境温度、温控位置、冰箱内温度对耗电量影响比较大。 (4)温度设定值补偿方法的研究:提出一种根据环境温度、温度设定值、温度设定值与冰箱冷藏室温度的差值,对温度设定值小幅度补偿的方法。根据冰箱内温度的特点,选用模糊控制算法计算温度设定值的补偿值,并进行仿真研究,仿真结果符合设计目标。 (5)冰箱能耗测试系统不确定度分析:利用GUM评定方法,对冰箱能耗测试结果进行不确定度评定,相对不确定度小于5%,测试结果可靠。
[Abstract]:As a necessary household appliance product, the energy consumption of household refrigerator has attracted much attention. There are many energy-saving methods for refrigerators, such as improving the structure of refrigerators and improving temperature control systems, but there are still some disadvantages such as great difficulty, heavy workload or high cost. Experimental analysis of refrigerator energy consumption, need to be implemented through the refrigerator energy consumption testing system. However, the current energy consumption testing system is difficult to maintain, software programming cycle is long and so on. This thesis focuses on the analysis of refrigerator energy consumption and the test of refrigerator energy consumption. On the one hand, the influence factors of refrigerator energy consumption are analyzed in detail from two aspects of theory and experiment, and a compensation method of temperature setting value is put forward. On the other hand, a set of refrigerator energy consumption test system is designed to realize accurate and automatic measurement of refrigerator energy consumption. The main work focuses on the following five points: 1) theoretical study on energy consumption of refrigerator: according to the working principle of refrigerator and combined with thermodynamic knowledge, the power expression of refrigerator is summarized, and the mathematical model of energy consumption of refrigerator is deduced according to the structure of refrigerator and the state of operation of refrigerator. The influence factors of refrigerator energy consumption are ambient temperature, freezing room temperature, freezer temperature and compressor time. Design of refrigerator energy consumption test system: design a refrigerator energy consumption test system based on virtual instrument. The hardware part includes the constant temperature and humidity laboratory, the air conditioning system and the comprehensive test system, and the software part uses the graphical language LabVIEW to realize the main functions such as system setting, parameter setting, real-time display, historical data query and remote monitoring. (3) Experimental analysis of refrigerator energy consumption: the results show that the average relative error between the calculated value of energy consumption and the experimental value is 5.1, which proves that the model is usable. It is concluded that the environmental temperature, the temperature control position and the temperature in the refrigerator have a great influence on the power consumption in the process of practical use of the refrigerator. (4) study on the compensation method of temperature setting value: a small compensation method of temperature setting value is put forward according to the difference between ambient temperature, temperature setting value and refrigerator temperature. According to the characteristics of the temperature in the refrigerator, the fuzzy control algorithm is used to calculate the compensation value of the temperature set value, and the simulation research is carried out. The simulation results are in line with the design goal. Uncertainty analysis of refrigerator energy consumption test system: using GUM evaluation method, the uncertainty of the test results of refrigerator energy consumption is evaluated, the relative uncertainty is less than 5, and the test results are reliable.
【学位授予单位】:中国计量学院
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM925.21
【参考文献】
相关期刊论文 前10条
1 彭金华;舒少龙;林峰;黄志强;;家庭能耗管理系统研究综述[J];电力需求侧管理;2011年01期
2 赵明富,张聪品,吴东芳;电冰箱模糊控制的算法及应用[J];河南师范大学学报(自然科学版);2005年02期
3 蒋琳;陈俊;戴洪波;;冰箱节能技术的实例研究[J];家电科技;2011年06期
4 袁野;何春林;;VAISALA温湿度传感器工作原理及校准[J];空中交通管理;2009年04期
5 申雪峰,朱根才;冰箱制冷速度检测系统[J];数据采集与处理;1997年03期
6 张顺;祝龙记;周香诊;;基于ARM电冰箱模糊控制系统的仿真与设计[J];微计算机信息;2007年02期
7 高占凤;杜彦良;刘玉红;徐红;;基于LabVIEW的远程数据采集与传输系统[J];微电子学与计算机;2007年03期
8 赖根,肖明清,夏锐,王学奇;国外自动测试系统发展现状综述[J];探测与控制学报;2005年03期
9 李银华,张宏伟;模糊控制技术在电冰箱中的应用[J];仪表技术与传感器;1999年07期
10 崔哲;崔坤理;袁广超;丁东旭;;恒温供水风冷冷水机组的研制[J];制冷;2008年04期
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