颗粒物沉降对光伏资源影响的模型研究进展

Advances in Modeling the Impact of Particle Deposition on Photovoltaic Power Generation

归纳并比较了与积尘密度、积尘组分、积尘颗粒形态及积尘消光参数等积尘性质以及相对湿度、降水量和降水强度、风速与风向等气象要素相关的积尘对光伏发电影响的模型,梳理了各因素之间的相互关系,发现积尘密度是最主要的因素。然后提出了新的光伏资源分布评估流程,最后进行了展望:1)积尘密度不等价于颗粒物干沉降累积通量,可根据颗粒物受力机制与湿沉降过程作修正。2)需开发验证方法比较各模型评估结果的差异,并评价不同来源的数据对模型评估结果的影响。3)微观影响机制的量化建模方法有待进一步发展。4)模型可与清洗规划模型耦合,得到颗粒物沉降对光伏电站运行成本影响的空间分布,或将颗粒物沉降对光伏组件发电量的影响转化为碳排放量,评价不同减排策略对实现“双碳”目标的影响。

A large number of literatures on the models that considers particle accumulation characteristics,including particle accumulation density,composition,morphology,and extinction parameters and their effects on photovoltaic power generation have been reviewed.The impact of meteorological elements,including relative humidity,precipitation/precipitation intensity,and wind speed and direction,on photovoltaic power generation is also studied.The relationships between these factors are analyzed,and particle accumulation density is found to be the most significant factor in the models.A photovoltaic resource distribution assessment process is then proposed.Finally,the following future developments are provided:1)Particle accumulation density is not equal to the particle dry deposition cumulative flux,and corrections should be considered based on the particle force mechanism and wet deposition process.2)Validation methods should be developed to compare the differences between model outputs and to evaluate the impact of different sources of data on the results.3)The micromechanism quantitative modeling methods should be further explored.4)The models can be coupled with the cleaning programming model to obtain the spatial distribution of the operating cost of photovoltaic plants under the impact of particle deposition or convert the impact of particle deposition on photovoltaic power generation into carbon emissions to evaluate the influence of different emission reduction strategies on achieving the dual carbon target.