青藏高原2021年0.1°分辨率风光发电潜力评估数据集（ERA5-Land驱动）

本研究基于欧洲中期天气预报中心（ECMWF）提供的ERA5-Land高分辨率（0.1°×0.1°）再分析数据，结合土地利用、数字高程模型（DEM）及电力消耗数据，系统评估了2021年青藏高原地区风能和太阳能的技术开发潜力。其中，太阳能评估​​采用光伏发电理论模型，综合考虑太阳辐射（直接辐射、漫射辐射及反射辐射）、光伏组件效率（20%）、温度修正（-0.41%/℃）、阴影损失及土地利用率等因素，计算了逐小时理论发电量（MW/格点）。光伏板倾角优化及间距计算基于太阳几何学，确保模型精确性。​​风能评估​​则是通过10米高度风速数据推算100米高度风况，结合风力涡轮机功率曲线（考虑切入、额定及切出风速），量化了理论风电发电潜力。每个格点的数值代表该格点内平均每小时可开发量（MW），空间分辨率为0.1°。

This study systematically evaluated the technical development potential of wind and solar energy in the Qinghai-Tibet Plateau in 2021, based on the high-resolution (0.1°×0.1°) ERA5-Land reanalysis data provided by the European Centre for Medium-Range Weather Forecasts (ECMWF), combined with land use data, digital elevation model (DEM) and electricity consumption data. For the solar energy assessment, a theoretical photovoltaic (PV) power generation model was adopted, which calculated the hourly theoretical power generation (MW/grid point) by comprehensively considering multiple factors including solar radiation (direct, diffuse and reflected radiation), photovoltaic module efficiency (20%), temperature correction (-0.41%/℃), shading loss and land utilization rate. The optimization of photovoltaic panel tilt angle and the calculation of spacing were based on solar geometry to ensure the accuracy of the model. For the wind energy assessment, the wind conditions at 100 meters height were extrapolated from the wind speed data at 10 meters height, and the theoretical wind power generation potential was quantified by combining with the power curve of wind turbines (considering cut-in, rated and cut-out wind speeds). The value of each grid point represents the average hourly developable capacity (MW) within that grid point, with a spatial resolution of 0.1°.

搜集汇总

背景与挑战

背景概述

该数据集基于ERA5-Land高分辨率数据，评估了2021年青藏高原0.1°分辨率的太阳能和风能发电潜力，包含逐小时理论发电量计算，适用于可再生能源潜力研究。