The USDataverse Global Solar Photovoltaic and Wind Turbine Data is a foundational geospatial dataset, generated through the interpretation of high-resolution imagery, covering commercial solar photovoltaic (PV) power stations and onshore wind turbines worldwide. Its core deliverable, provided in standardized image format, clearly annotates the geographic locations and spatial extents of over 375,000 wind turbines and more than 86,000 PV power plants globally. All facilities have been precisely georeferenced, forming a base map ready for direct visualization and macro-level analysis. This dataset provides a unique, consistent, and comparable foundational data support for quantifying the construction scale, evolving geographical patterns, and land use of global renewable energy infrastructure. It serves as a valuable resource for gaining insights into the actual progress of the global energy transition.
Data Features
- High-Precision Spatial Base Map: The data is generated through interpretation from high-quality imagery based on uniform standards, providing a verifiable and comparable spatial reference for renewable energy facilities on a global scale.
- Flexible Extensibility: Provided in common geospatial data formats, the data can be seamlessly integrated with mainstream GIS platforms and various external data sources (such as administrative boundaries, terrain, and socio-economic statistics), facilitating multi-source data fusion and complex spatial analysis.
- Support for Customized Deep Analysis: Beyond providing basic spatial locations, we can offer professional, in-depth data processing services tailored to specific research objectives. This includes extracting facility clusters, calculating spatial density, generating aggregated data for specific statistical units, and directly delivering application-oriented, analysis-ready data products.
Data Application Value
- Serving Energy Planning and Policy Evaluation: Provides governments and research institutions with an intuitive baseline map of global and regional solar and wind facility distributions, aiding in resource potential assessment, infrastructure planning, and policy impact analysis.
- Supporting Interdisciplinary Academic Research: Offers a high-quality spatial foundation for research in energy geography, land science, environmental economics, and other fields. It facilitates integrated studies combining other datasets for site selection analysis, investigation of driving factors, and assessment of environmental and social impacts.
- Empowering Industry Analysis and Business Decision-Making: Provides energy companies and investment institutions with essential infrastructure mapping, supporting preliminary site screening, analysis of market competition landscapes, and enabling customized in-depth data analysis based on specific business scenarios.
This database comprehensively presents the spatial layout of global solar and wind power generation facilities. It can serve as a direct tool for macro-analysis or as a structured data foundation for conducting in-depth research, providing reliable spatial data support for studies, planning, and decision-making related to the energy transition.
Time Coverage
From Q4 2017 to Q2 2024