中国建筑屋顶光伏发电及碳减排潜力数据集(2020年)

中国建筑屋顶光伏发电及碳减排潜力数据集，数据表征时间为2020年。利用多源异构地理空间数据和机器学习回归方法，确定了中国354座城市的建筑屋顶面积，然后结合各城市太阳辐射及电网排放水平计算了建筑屋顶光伏的发电及碳减排潜力，最后将计算结果以城市尺度汇总统计（Excel格式）；该数据产品同时提供本研究所使用的中国90座城市建筑物屋顶矢量数据集（shapefile格式），以FTP形式共享。

Dataset of Building Rooftop Photovoltaic Power Generation and Carbon Emission Reduction Potential in China (data representing the year 2020). Using multi-source heterogeneous geospatial data and machine learning regression methods, the building rooftop areas of 354 cities across China were quantified. Subsequently, the photovoltaic power generation and carbon emission reduction potential of building rooftops were calculated by combining the solar radiation and grid emission levels of each city. Finally, the calculation results were aggregated and statistically summarized at the city level in Excel format. This data product also provides the building rooftop vector dataset (shapefile format) for 90 Chinese cities utilized in this study, which is shared via FTP.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于2020年中国建筑屋顶光伏发电及碳减排潜力评估，覆盖354座城市。它基于多源地理空间数据和机器学习方法，计算了屋顶面积、太阳辐射及电网排放水平，以城市尺度汇总发电和碳减排潜力数据，并提供部分城市的屋顶矢量数据集，适用于可再生能源和碳排放研究。