Quantifying the effects of dust characteristics on the performance of radiative cooling PV systems

IF 10.1 1区 工程技术 Q1 ENERGY & FUELS Applied Energy Pub Date : 2024-10-18 DOI:10.1016/j.apenergy.2024.124672
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Abstract

Radiative cooling technology addresses the self-heating issue in solar cells, improving power output. However, dust accumulation poses a significant challenge for radiative cooling PV systems. This study theoretically explores the radiative properties and power efficiency of radiative cooling PV systems under dust accumulation, employing the Monte Carlo Ray Tracing method to simulate light transfer through dust with varying characteristics. The influence of dust particle size, coverage area, and solar incidence angle on system performance is examined. Results show that dust accumulation decreases solar transmittance and infrared emissivity of the radiative cooling covers, thereby reducing system efficiency. The effect of highly absorptive dust on the radiative cooling cover is more pronounced than that of non-absorptive dust. For every 1 g/m2 increase in deposition density, the power generation of RC-PVs covered with non-absorptive and absorptive dust accumulation decreases by approximately 0.96% and 4.01%, respectively. Functional relationships have been established between dust density and solar transmittance, infrared emissivity, and power generation. Additionally, optimal cleaning intervals for the systems under different dust conditions are determined. For full-automatic cleaning at a dust accumulation rate of 200 mg/m2/day, the recommended intervals for non-absorptive and absorptive dust are 44.2 and 22.1 days, respectively. These findings provide quantitative relationships between dust accumulation and its impacts on radiative cooling PV systems, highlighting the importance of regular maintenance to optimize system performance and associated costs. The results of this study offer valuable insights for the effective deployment, design, and maintenance of radiative cooling PV systems in practical applications, particularly in dusty environments.
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量化灰尘特性对辐射冷却光伏系统性能的影响
辐射冷却技术解决了太阳能电池的自热问题,提高了输出功率。然而,灰尘积累对辐射冷却光伏系统构成了巨大挑战。本研究从理论上探讨了灰尘积聚下辐射冷却光伏系统的辐射特性和功率效率,采用蒙特卡洛光线跟踪法模拟光线通过不同特性灰尘的传输。研究了灰尘颗粒大小、覆盖面积和太阳入射角对系统性能的影响。结果表明,积尘会降低辐射冷却罩的太阳透过率和红外线发射率,从而降低系统效率。与非吸收性灰尘相比,高吸收性灰尘对辐射冷却罩的影响更为明显。沉积密度每增加 1 克/平方米,覆盖着非吸收性和吸收性积尘的 RC-PV 的发电量就会分别减少约 0.96% 和 4.01%。灰尘密度与太阳透射率、红外发射率和发电量之间建立了函数关系。此外,还确定了系统在不同灰尘条件下的最佳清洁间隔。在灰尘累积率为 200 毫克/平方米/天的全自动清洁条件下,针对非吸收性和吸收性灰尘的建议间隔时间分别为 44.2 天和 22.1 天。这些研究结果提供了灰尘积累及其对辐射冷却光伏系统影响之间的定量关系,强调了定期维护对优化系统性能和相关成本的重要性。这项研究的结果为辐射冷却光伏系统在实际应用中的有效部署、设计和维护提供了宝贵的见解,尤其是在多尘环境中。
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来源期刊
Applied Energy
Applied Energy 工程技术-工程:化工
CiteScore
21.20
自引率
10.70%
发文量
1830
审稿时长
41 days
期刊介绍: Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.
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