海淀城市大脑智慧能源-园区碳排放监测-光伏碳出潜力分析数据集

通过梳理园区潜在可安装光伏太阳能的面积，复用光伏分析数据模型，推动园区建设规划，调研实际建筑数据，以地理空间数据、气候数据和园区经济数据为输入变量, 进行水平太阳辐射估算、屋顶和建筑特征预测、发电量预测以及建筑轮廓提取, 从而对建筑屋顶光伏发电潜力进行评估，评估新能源最大供应潜力，科学确定新能源推进时序，为碳中和预测分析提供依据。预测新增光伏发电量及月度可出售电量，为园区的新能源规划和碳减排目标提供有力支持。

By sorting out the potential photovoltaic (PV) solar installation areas within the park, reusing the PV analysis data model to facilitate the park's construction planning, and investigating actual on-site building data, this work takes geospatial data, climatic data and park economic data as input variables to carry out horizontal solar radiation estimation, roof and building feature prediction, power generation output forecasting, and building contour extraction. Thereby, it assesses the photovoltaic power generation potential of building roofs, evaluates the maximum supply potential of new energy sources, scientifically determines the promotion schedule for new energy sources, and provides a foundational basis for carbon neutrality prediction and analysis. Additionally, it forecasts the newly added photovoltaic power generation output and monthly sellable electricity volume, offering robust support for the park's new energy planning and carbon emission reduction objectives.