Fractal textured glass surface for enhanced performance and self-cleaning characteristics of photovoltaic panels

分形 光伏系统 材料科学 纹理(宇宙学) 复合材料 润湿 反射(计算机编程) 光学 工程类 计算机科学 电气工程 物理 数学 图像(数学) 数学分析 人工智能 程序设计语言
作者
Karunesh Kant,R. Pitchumani
出处
期刊:Energy Conversion and Management [Elsevier BV]
卷期号:270: 116240-116240 被引量:8
标识
DOI:10.1016/j.enconman.2022.116240
摘要

Photovoltaic (PV) modules face significant performance loss due to the reflection of solar radiation and dust accumulation on the PV glass cover. Micro- and nanoscale texturing of the PV panel glass cover is an effective means of reducing solar radiation reflection and providing surface hydrophobicity to reduce dust accumulation and ease cleaning. Considering multiscale surface texturing of PV panel glass cover, represented generically as fractal surfaces, the study comprehensively investigates the effect of texturing on the module’s optical, thermal, and overall performance, as well as the surface’s wettability characteristics. Numerical simulations over a range of fractal texturing parameters and geographical locations indicate that texturing reduces reflectance by over an order of magnitude and boosts the power output by as much as over 4 % depending on the fractal parameters, which is within 0.2 % of the theoretical maximum for an ideal case of zero reflectance on the glass cover. Complementing the power production enhancement, texturing is also shown to impart hydrophobicity or superhydrophobicity, which is essential for the surfaces to resist or easily remove soiling and dust accumulation. A design map for tailoring the fractal texture parameters so as to achieve the desired self-cleaning characteristic is derived from the study. The article elucidates, for the first time, a systematic fundamental understanding of texturing to enhance PV panel performance and provides information for designing texturing parameters for desired performance enhancement.

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
赤子心i完成签到 ,获得积分10
刚刚
lx完成签到,获得积分10
刚刚
老王完成签到,获得积分10
刚刚
1秒前
龚小丽完成签到,获得积分10
2秒前
害怕的过客完成签到,获得积分10
2秒前
5秒前
丘比特应助drawf采纳,获得20
5秒前
12秒前
13秒前
14秒前
15秒前
15秒前
七月不远发布了新的文献求助30
15秒前
16秒前
sing发布了新的文献求助10
18秒前
科研通AI6.3应助蜂蜜柚子采纳,获得10
19秒前
19秒前
舒易云发布了新的文献求助10
20秒前
drawf发布了新的文献求助20
20秒前
明朗完成签到 ,获得积分10
21秒前
Cherry发布了新的文献求助10
21秒前
岩下松风完成签到,获得积分10
22秒前
22秒前
23秒前
24秒前
小xy发布了新的文献求助10
25秒前
27秒前
上官若男应助aaaamy采纳,获得10
27秒前
qiuqiu发布了新的文献求助20
28秒前
29秒前
飞快的香烟应助zhou国兵采纳,获得10
30秒前
vv发布了新的文献求助10
31秒前
31秒前
威武的访梦完成签到,获得积分10
32秒前
希望天下0贩的0应助sing采纳,获得10
34秒前
34秒前
xin完成签到,获得积分10
35秒前
molihuakai应助幸福的鞋垫采纳,获得10
36秒前
drawf完成签到,获得积分10
37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
Health Psychology 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7591022
求助须知:如何正确求助?哪些是违规求助? 9168357
关于积分的说明 19624411
捐赠科研通 7169815
什么是DOI,文献DOI怎么找? 3267414
关于科研通互助平台的介绍 2432229
邀请新用户注册赠送积分活动 2259699