引用本文
  •    [点击复制]
  •    [点击复制]
【打印本页】 【下载PDF全文】 查看/发表评论下载PDF阅读器关闭

←前一篇|后一篇→

过刊浏览    高级检索

本文已被:浏览 948次   下载 595 本文二维码信息
码上扫一扫!
基于方差分析法对变效溴化锂吸收式制冷循环的参数评估
张柯, 马海晶, 孙红磊, 王德昌, 王肖禾, 宋庆路
0
(青岛大学机电工程学院)
摘要:
本文对一种新型吸收发生热交换式(AGX)的变效溴化锂吸收式制冷循环(ARC)进行了热力学分析,该循环在高压发生器温度为93~140 ℃时,性能系数(COP)可达0.75~1.08,较传统的单/双效ARC更具商业价值。但现有对AGX变效循环中运行参数的分析无法确定参数对循环COP影响程度的顺序,不利于系统的设计和运行控制。对此,利用EES软件建立AGX变效ARC的数学模型,分析了热力参数对循环COP的影响,并在统计学基础上使用方差分析法,评估了各参数对系统COP影响的显著性和贡献率,确定了参数对COP影响程度的顺序。结果表明:蒸发温度(TE)增加5 ℃,使COP由1.035增至1.157,增幅11.8%;吸收温度(TLA)降低5 ℃使COP增加9.5%,达到1.133;冷凝温度(TC)降低5 ℃使COP增加6.7%,达到1.104。其中TE对循环COP影响最显著,显著性为45.67%,其次是TLA为29.80%,TC为17.93%,溶液分配比R1的影响最小,显著性为0.02%,因此,在系统设计和运行控制中应优先调整TE和TLA使AGX变效循环COP最大化。
关键词:  变效  吸收制冷循环  参数评估  方差分析法
DOI:
投稿时间:2021-10-07  修订日期:2021-12-28  
基金项目:国家自然科学基金(51876094)
Parametric Evaluation of Variable Effect Lithium Bromide Absorption Refrigeration Cycles Based on Variance Analysis
Zhang Ke, Ma Haijing, Sun Honglei, Sun Honglei, Wang Xiaohe, Song Qinglu
(School of Mechanical and Electrical Engineering, Qingdao University)
Abstract:
A thermodynamic analysis of the variables of a novel absorption generation heat exchange (AGX) on the variable effect lithium-bromide absorption refrigeration cycle (ARC) is performed in this study. The coefficient of performance (COP) of the cycle is 0.75–1.08 when the temperature of the high-pressure generator is 93 °C–140 °C. The abovementioned cycle has more commercial value than the conventional single/double effect ARC. However, the thermodynamic analysis of the parameters in the AGX cycle is limited, and the order of significance of thermodynamic parameters on the COP has not been determined. In this study, a thermodynamic model of the AGX cycle is established using the EES software. The effects of the parameters on the system COP are analyzed. The effects of the operational parameters on the COP are investigated statistically via the analysis of variance to determine the order of significance of the parameters. The results show that when the evaporating temperature (TE) increased by 5 °C, the COP increased by 11.8% (from 1.035 to 1.157); the absorption temperature (TLA) decreased by 5 °C; the COP increased by 9.5% to 1.133; the condensing temperature (TC) decreased by 5 °C; the COP increased by 6.7% to 1.104. TE contributes most significantly to the COP, with a contribution percentage of 45.67%, followed by TLA (29.80%), TC (17.93%), and R1 (0.02%). Therefore, TE should be prioritized in the system design and operation control to maximize the COP of the AGX cycle.
Key words:  variable effect  absorption refrigeration cycle  parametric evaluation  analysis of variance

用微信扫一扫

用微信扫一扫