随着环境问题的日益严重,许多国家制定了能源转型目标以助力《巴黎协定》的实现.利用太阳能作为传统能源替代品支持能源转型已成为国际共识.因此分析太阳能资源分布、储量及质量不仅可以帮助单个国家有效利用本国资源,更有助于实现洲际资源规模化互补与利用.本研究构建了全球太阳能资源评估数据库、建模方法和平台工具.首先,通过对全球太阳能资源进行评估,包括理论储量(TRs)、技术装机容量(TPIC)和平均开发成本(ADC),对各大洲评估结果进行了分析比较.其次,基于大数据和地理信息系统(GIS)技术,通过容量因子和平均开发成本这两个核心指标计算出全球太阳能技术装机容量分布特征.此外.对太阳能资源精细化开发潜力进行了数据驱动的定量评估.最后,对资源评估结果合理性进行了验证.“,”With the increasing severity of environmental problems, many countries have set energy transition targets to promote the realization of the Paris Agreement. There has been a global consensus on utilizing solar energy resources as alternatives to conventional sources to support this energy transition. In this regard, analyzing the “location,” “quantity,” and “quality” of global solar energy resources will not only assist an individual country to efficiently utilize these resources but also promote the realization of large-scale intercontinental resource utilization and complementation. This study established the basic database, model methods, and platform tools for global solar energy assessment, Then, a global solar energy resource assessment was conducted, which included the theoretical reserves (TRs), technical installed potential capacity (TPIC), and average development cost (ADC). A comparative analysis of the assessment results for all continents was also performed. After that, based on big data analysis and geographic information system (GIS) calculations, the distribution characteristics of the global solar power TPIC were calculated with the two core indicators, namely the capacity factor and ADC. Furthermore, a data-driven quantitative evaluation of the refined development potential of solar energy resources was performed. Finally, the reasonableness and coincidence analysis of the resource assessment results were verified using data from global and specifically Chinese photovoltaic (PV) bases.