Physics of Semiconductors and Solar Energy Research Team (PSES), Energy Research Center, ENS, Mohammed V University in Rabat, Rabat, Morocco.
Environ Sci Pollut Res Int. 2023 Jul;30(34):81667-81685. doi: 10.1007/s11356-022-23218-y. Epub 2022 Oct 13.
Several soiling mitigation solutions and cleaning techniques have been developed to maintain high efficiency of photovoltaic (PV) panels. First of its kind, the investigation of the adaptability of the cleaning systems to solar trackers has been performed. The majority of these systems are dedicated to fixed installations whereas only few systems that can be adapted to solar trackers are presented in the updated cleaning systems background. For this reason, this paper presents an innovative approach which consists of combining trackers with an integrated cleaning system that has been designed. Based on the conducted experimental study, a maximum of 7% in soiling losses has been found for the PV generator of 4 kWp equipped with a dual-axis tracker installed in Rabat-Morocco over almost 1 year. Consequently, a reduced cleaning prototype has been realized and tested to evaluate the energy recovery based on the performed cleaning. The automatic cleaning has presented a similar efficiency with the manual cleaning with a slight difference of 0.95 pp and an increase of energy of 11.5% in the arid region. Through the economic analysis carried out taking into account the gain in energy production, the automatic cleaning cost was 0.14 USD/kWh. It has been found that the cleaning technique based on the telescopic arm would be more effective if the tracker is installed in an arid region where soiling is higher than Rabat. In this case, the payback time of the cleaning solution is faster (8 to 9 years), hence its profitability.
已经开发了几种减污解决方案和清洁技术，以保持光伏 (PV) 电池板的高效率。首次对清洁系统适应太阳能跟踪器的适应性进行了调查。这些系统大多数都是针对固定安装的，而在更新的清洁系统背景中仅介绍了少数可以适应太阳能跟踪器的系统。因此，本文提出了一种创新方法，即将跟踪器与设计的集成清洁系统相结合。基于进行的实验研究，在摩洛哥拉巴特安装的配备双轴跟踪器的 4kWp PV 发电机上，发现污垢损失最多可达 7%，时间将近 1 年。因此，已经实现并测试了一个简化的清洁原型，以根据进行的清洁评估能量回收。自动清洁与手动清洁具有相似的效率，仅相差 0.95 个百分点，并且在干旱地区的能量增加了 11.5%。通过考虑能源生产收益进行的经济分析，自动清洁的成本为 0.14 美元/千瓦时。发现，如果在污垢比拉巴特更高的干旱地区安装跟踪器，基于伸缩臂的清洁技术将更有效。在这种情况下，清洁解决方案的投资回收期更快（8 到 9 年），因此更具盈利性。
