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量化粉尘特性对辐射冷却光伏系统性能的影响
Quantifying the effects of dust characteristics on the performance of radiative cooling PV systems
| 作者 | Maoquan Huang · Rui Yang · Guihua Tang · Jin Huan Pu · Qie Sun · Mu Duad1 |
| 期刊 | Applied Energy |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 377 卷 |
| 技术分类 | 光伏发电技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | Relationship between dust characteristics and radiative properties of RC-PV system. |
语言:
中文摘要
摘要 辐射冷却技术可缓解太阳能电池的自热问题,从而提高发电功率输出。然而,粉尘积聚对辐射冷却光伏系统构成了重大挑战。本研究通过理论方法探讨了在不同特性的粉尘积聚条件下,辐射冷却光伏系统的辐射特性与发电效率,采用蒙特卡洛光线追踪方法模拟光在具有不同特征粉尘层中的传输过程。研究分析了粉尘颗粒尺寸、覆盖面积以及太阳入射角对系统性能的影响。结果表明,粉尘积聚会降低辐射冷却盖板的太阳光透过率和红外发射率,从而导致系统效率下降。高吸收性粉尘对辐射冷却盖板的影响比非吸收性粉尘更为显著。每增加1 g/m²的粉尘沉积密度,覆盖非吸收性粉尘和吸收性粉尘的辐射冷却光伏系统(RC-PVs)的发电量分别减少约0.96%和4.01%。本文建立了粉尘密度与太阳光透过率、红外发射率及发电量之间的函数关系。此外,确定了在不同粉尘条件下系统的最佳清洁周期。当粉尘累积速率为200 mg/m²/天并采用全自动清洁时,建议对非吸收性粉尘和吸收性粉尘的清洁周期分别为44.2天和22.1天。这些发现提供了粉尘积聚与其对辐射冷却光伏系统影响之间的定量关系,凸显了定期维护对于优化系统性能及相关成本的重要性。本研究结果为辐射冷却光伏系统在实际应用中,特别是在多尘环境下的有效部署、设计与维护提供了有价值的参考依据。
English Abstract
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/m 2 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/m 2 /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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SunView 深度解读
该辐射冷却光伏系统研究对阳光电源SG系列逆变器及iSolarCloud平台具有重要价值。研究量化了灰尘对光伏系统透射率和发电效率的影响规律,可优化我司智能运维策略:针对吸收性/非吸收性灰尘建立清洁周期模型(22-44天),结合iSolarCloud的预测性维护功能,实现基于环境监测的动态清洁调度。研究中的蒙特卡洛光线追踪方法可集成到逆变器MPPT算法中,通过实时识别灰尘遮挡特征优化功率追踪,特别适用于中东、西北等高尘环境的大型地面电站,提升系统全生命周期发电量3-5%。