Enhancement of air conditioning system using direct evaporative cooling: Experimental and theoretical investigation

蒸发冷却器 空调 聚光镜(光学) 冷却能力 环境科学 制冷 相对湿度 气象学 湿度 热舒适性 性能系数 能源消耗 工作(物理) 核工程 冷负荷 工艺工程 制冷剂 机械工程 工程类 电气工程 热交换器 物理 光学 光源
作者
Rasha Hayder Hashim,Salman Hashim Hammdi,Adel A. Eidan
出处
期刊:Open Engineering [De Gruyter]
卷期号:13 (1)
标识
DOI:10.1515/eng-2022-0415
摘要

Abstract Air conditioners (ACs) are more commonly used nowadays in residential and commercial buildings to achieve thermal comfort in the summer season. Due to the high outside temperature, condenser pressure was highest and ultimately resulted in high electricity consumption. One of the ways to reduce the energy consumption of AC systems and increase cooling capacity is by reducing air temperature entering the condenser by using the evaporative cooling principle. This article presents an experimental and theoretical investigation of improving the performance of the conventional air conditioning unit supported by a direct evaporative cooling system to increase the cooling capacity and reduce the consumption of power in hot and dry climates. A window-type AC unit was implemented in the experiment where the AC system is modulated to provide a wide range of various weather conditions. The results show that using evaporative cooling assist enhanced the system to overcome the many challenges by which the refrigeration capacity was increased in the range of 10–20%. Also, the results show a decrease in outlet temperature by 6–10°C, and the power consumption was reduced by about 3%. MATLAB program was used to analyze different data that were obtained. The input parameters for this program are the inlet conditions such as the weather conditions of the located city, namely the outdoor dry temperature and the outdoor relative humidity. The effectiveness and cooling capacity were calculated based on the frontal air velocity and the inlet air temperature. A comparison between the experimental and theoretical work showed a good agreement, as the relative difference is less than 9%.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
yy完成签到,获得积分10
刚刚
橙橙完成签到 ,获得积分10
刚刚
小白一枚完成签到 ,获得积分10
1秒前
lili完成签到,获得积分10
1秒前
79完成签到,获得积分10
2秒前
深情安青应助飞飞采纳,获得10
4秒前
79发布了新的文献求助20
5秒前
希希完成签到 ,获得积分10
6秒前
hedinghong完成签到,获得积分10
7秒前
烟花应助zhangnan采纳,获得10
10秒前
务实映之完成签到,获得积分10
11秒前
搜集达人应助wshuai采纳,获得30
12秒前
吉祥高趙发布了新的文献求助10
13秒前
愚者先生完成签到 ,获得积分10
14秒前
在水一方应助长野采纳,获得10
14秒前
失眠的向日葵完成签到 ,获得积分10
15秒前
16秒前
电子羊应助79采纳,获得10
16秒前
睡个好觉应助79采纳,获得10
16秒前
可爱的函函应助79采纳,获得10
16秒前
小鹿完成签到,获得积分10
18秒前
慕容飞凤完成签到,获得积分10
18秒前
wrahb完成签到,获得积分10
18秒前
大白应助科研通管家采纳,获得20
19秒前
19秒前
19秒前
晨夕应助科研通管家采纳,获得10
19秒前
我是老大应助科研通管家采纳,获得10
19秒前
19秒前
CodeCraft应助科研通管家采纳,获得10
19秒前
19秒前
情怀应助科研通管家采纳,获得10
19秒前
21秒前
耍酷的冷雪完成签到,获得积分10
21秒前
依古比古完成签到 ,获得积分10
21秒前
勤恳的茗茗完成签到,获得积分10
22秒前
22秒前
22秒前
79发布了新的文献求助10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6348477
求助须知:如何正确求助?哪些是违规求助? 8163474
关于积分的说明 17173545
捐赠科研通 5404882
什么是DOI,文献DOI怎么找? 2861804
邀请新用户注册赠送积分活动 1839618
关于科研通互助平台的介绍 1688928