Effects of atmospheric dust deposition on solar PV energy production in a desert environment

沉积(地质) 大气科学 环境科学 气溶胶 沉淀 光伏系统 辐照度 太阳辐照度 气象学 干旱 太阳能资源 微粒 质量浓度(化学) 物理 环境工程 量子力学 生物 热力学 古生物学 生态学 沉积物
作者
C. Fountoukis,Benjamin Figgis,Luis Ackermann,M. Ayoub
出处
期刊:Solar Energy [Elsevier]
卷期号:164: 94-100 被引量:78
标识
DOI:10.1016/j.solener.2018.02.010
摘要

The effect of deposition of atmospheric dust onto photovoltaic modules is investigated using both field measurements and modeling. Energy yield, solar irradiance, ambient particulate matter concentrations, and meteorological data were monitored during a 12-month period at a solar test facility in the arid environment of Qatar. Dust concentration alone, is a weak predictor of PV soiling and performance, even for particles larger than 10 μm. Instead, a non-linear correlation between aerosol mass, RH and PV losses was observed. A dynamically resolved three-dimensional aerosol dispersion model coupled with online meteorology was employed to simulate the emissions and transport of dust particles in the surrounding environment. The advantage of using such a model is that most of the complexities of the deposition process are grouped together in a single parameter: the particle deposition velocity. The model predicts an average deposition velocity ranging between 1.1 cm s−1 and 3.3 cm s−1 during summer and 1.6 cm s−1 and 3.7 cm s−1 in winter for the different size ranges of coarse dust particles. A numerical weather prediction model coupled with an explicit treatment of aerosols could be a beneficial tool for comprehensive PV soiling predictive capabilities on an urban-to-regional scale. Results from the predicted geographical distribution of dust settling suggests that floating PV modules could benefit from significantly lower dust deposition.
最长约 10秒,即可获得该文献文件

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
李爱国应助科研通管家采纳,获得10
刚刚
Leif应助科研通管家采纳,获得10
1秒前
桐桐应助科研通管家采纳,获得10
1秒前
Owen应助科研通管家采纳,获得10
1秒前
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
shouyu29应助科研通管家采纳,获得10
1秒前
1秒前
小金应助科研通管家采纳,获得20
1秒前
牛逼的昂完成签到,获得积分10
1秒前
muzi给muzi的求助进行了留言
1秒前
NexusExplorer应助科研通管家采纳,获得10
1秒前
1秒前
Jasper应助科研通管家采纳,获得10
2秒前
yuhang完成签到 ,获得积分10
2秒前
汉堡包应助科研通管家采纳,获得10
2秒前
果汁完成签到,获得积分10
2秒前
NexusExplorer应助Zoe采纳,获得10
2秒前
MADKAI发布了新的文献求助10
3秒前
3秒前
领导范儿应助junzilan采纳,获得10
4秒前
打打应助激动的一手采纳,获得10
4秒前
酷波er应助艺玲采纳,获得10
5秒前
longtengfei发布了新的文献求助10
5秒前
6秒前
6秒前
ZL发布了新的文献求助10
8秒前
luca发布了新的文献求助10
8秒前
ruby发布了新的文献求助10
8秒前
沉静的颦发布了新的文献求助10
9秒前
9秒前
cjy完成签到,获得积分10
9秒前
9秒前
10秒前
Zoe完成签到,获得积分10
10秒前
10秒前
10秒前
任性完成签到,获得积分10
10秒前
an发布了新的文献求助10
11秒前
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527699
求助须知:如何正确求助?哪些是违规求助? 3107752
关于积分的说明 9286499
捐赠科研通 2805513
什么是DOI,文献DOI怎么找? 1539954
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709759