Assessing Co-Located Wind and Solar Energy Potential in Highway Right-of-Ways Using Secondary Resource Grading
摘要
This study presents a comprehensive assessment of wind and solar energy generation potential along China’s freeway networks. Leveraging meteorological data from the European Centre for Medium-Range Weather Forecasts (ECMWF) and spatial analysis via Google Earth Engine (GEE), A novel secondary classification system (nine-grade) was developed by integrating China’s existing resource classification standards with MATLAB and ArcGIS tools. An approach enables a synergistic evaluation of co-located wind-solar resources through spatial superposition analysis. Key findings reveal that 0.20% of freeway areas fall below the effective wind speed threshold for power generation. In comparison, 93.40% of solar resources meet or exceed the economic viability threshold (≥4,000 MJ/m2), predominantly in Grades 4–9. For complementary wind-solar potential, medium- to low-grade synergies (Grades 2–4) dominate, with 71.51% coverage, whereas high-grade complementary zones (Grades 6–9) are exceptionally scarce, at only 1.24%.This research establishes a quantitative framework for optimizing wind-solar hybrid system siting along transportation corridors, supporting China’s renewable energy infrastructure planning.