Experimental and numerical study of a reversible radiative sky cooling PV window

环境科学 辐射冷却 太阳增益 玻璃 冷负荷 光伏系统 天空 辐照度 辐射传输 气象学 被动冷却 太阳能 热的 窗口(计算) 太阳辐照度 大气科学 核工程 材料科学 空调 光学 计算机科学 机械工程 物理 工程类 电气工程 复合材料 操作系统
作者
Haida Tang,Juhu Wu,Chunying Li
出处
期刊:Solar Energy [Elsevier BV]
卷期号:247: 441-452 被引量:12
标识
DOI:10.1016/j.solener.2022.10.057
摘要

Transparent envelopes, such as windows, are usually the weak points of building thermal insulation and responsible for the tremendous cooling/heating energy consumption in the building sector. An innovative reversible radiative cooling PV (RRC-PV) window was proposed, which combined the radiative sky cooling and photovoltaic window technologies. It was capable of generating electricity from incident solar energy and reducing the indoor cooling load in the daytime whilst providing natural cooling at night by dissipating heat to outer space through atmospheric window. The thermal and electrical performances were tested. Simulation program was developed with MATLAB and validated successfully. Further, year-round energy performance was evaluated based on the TMY dataset of Shenzhen. The indoor heat gain was effectively reduced by utilizing RRC-PV window instead of common clear glazing window. The total reduction was 208.16 MJ/m2 per cooling season. Meanwhile, the beneficial indoor heat gain during heating season was unfavorably reduced. With the electricity generation taken into consideration, the annual comprehensive energy saving potential was as large as 264.23 MJ/m2 over common clear glazing window under hot summer and warm winter climate of Shenzhen, China. Thermal and energy performances of RRC-PV window could be favorably improved in regions with plentiful solar irradiance and cleaner atmosphere. The local climate and comprehensive energy performance should be evaluated before practical application of RRC-PV window with the proposed methodology. Future research and development of radiative cooling materials would enhance the building energy saving and contribute to the neutral carbon cause.

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
小休完成签到 ,获得积分10
4秒前
顾瞻完成签到,获得积分10
4秒前
4秒前
小带完成签到,获得积分10
4秒前
毕誉怀发布了新的文献求助10
8秒前
电池小能手完成签到,获得积分10
11秒前
新晋老板完成签到,获得积分10
13秒前
无情愫应助科研通管家采纳,获得10
14秒前
打打应助科研通管家采纳,获得20
15秒前
斯文败类应助科研通管家采纳,获得10
15秒前
CipherSage应助科研通管家采纳,获得10
15秒前
桐桐应助科研通管家采纳,获得10
15秒前
15秒前
xiaoleeyu完成签到,获得积分10
15秒前
香蕉觅云应助科研通管家采纳,获得30
15秒前
深情安青应助科研通管家采纳,获得10
15秒前
15秒前
研友_VZG7GZ应助科研通管家采纳,获得10
15秒前
传奇3应助科研通管家采纳,获得10
15秒前
15秒前
难过冷玉完成签到 ,获得积分10
15秒前
Hello应助科研通管家采纳,获得10
15秒前
852应助科研通管家采纳,获得10
16秒前
16秒前
老福贵儿应助科研通管家采纳,获得10
16秒前
领导范儿应助科研通管家采纳,获得10
16秒前
科研通AI2S应助科研通管家采纳,获得10
16秒前
16秒前
溪鱼应助科研通管家采纳,获得30
16秒前
aqiuyuehe发布了新的文献求助20
16秒前
wanci应助科研通管家采纳,获得10
16秒前
SciGPT应助科研通管家采纳,获得10
16秒前
香蕉觅云应助科研通管家采纳,获得10
16秒前
852应助科研通管家采纳,获得10
16秒前
英姑应助科研通管家采纳,获得10
16秒前
16秒前
大个应助科研通管家采纳,获得10
17秒前
17秒前
我是老大应助科研通管家采纳,获得10
17秒前
tll应助科研通管家采纳,获得20
17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
Adverse weather effects on bus ridership 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 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 6350829
求助须知:如何正确求助?哪些是违规求助? 8165485
关于积分的说明 17182945
捐赠科研通 5407050
什么是DOI,文献DOI怎么找? 2862753
邀请新用户注册赠送积分活动 1840357
关于科研通互助平台的介绍 1689509