气溶胶是地-气系统间辐射能量收支过程中最不确定的影响因素之一。定量评估气溶胶对太阳辐射量和太阳光伏发电量的影响，对于深入理解我国能源消费和气候变化之间的关系具有重要的科学意义。但是，受数据来源和模型估算效率的限制，现有研究未量化自然和人为气溶胶排放的动态变化对太阳光伏发电量的影响，且研究成果的空间分辨率较粗。本课题拟建立一套可解释性较强的大范围、长时序和高分辨率的太阳光伏发电量数值模拟方法，以在更为精细的时空尺度上量化气溶胶对我国太阳光伏发电量的影响。主要研究内容包括：（1）耦合WRF-Chem模式和PV_LIB模型的太阳光伏发电量数值模拟方法（WRF-PVLIB耦合模型）；（2）太阳光伏发电量的时空变化与人为气溶胶排放之间的关系；（3）气溶胶颗粒物质量浓度的动态变化对太阳光伏发电量的影响。本课题研究成果对于我国太阳能发展和大气污染防治政策的制定与反馈具有一定的实际应用价值。

Aerosol is one of the most uncertain factors in the solar radiative energy budget between the earth surface and the atmosphere. Quantitatively evaluating the effects of aerosols on solar radiation and solar photovoltaic power potential (PV) is of great scientific significance for understanding the relationship between climate change and energy consumptions. However, limited by the data availability and model computational efficiency, the effect of the variations of natural and anthropogenic aerosols emissions on solar photovoltaic power generation has not been quantified and classified. Moerover, the spatial resolution of existing researches is relatively coarse. Therefore, this study attempts to establish numerical simulation method for estimating solar photovoltaic power generation with strong interpretability to quantify the effect of aerosol on PV power. The main research contents of this project include: (1) solar photovoltaic power generation estimation method based on WRF-Chem model and PV_LIB model; (2) spatial and temporal variations of PV power and its relationship with anthropogenic aerosol; (3) the effects of the dynamic variation of aerosol particle mass concentration on solar photovoltaic power generation. The research would assist the formulation and feedback of solar energy development and air pollution control policy.