McGill University researchers utilized deep-learning computer vision to analyze 719 solar projects in the Western U.S., setting a new "land-sparing" benchmark for developers. The study revealed a link between geographic irradiance and land efficiency, showing that sunnier regions and compact system designs result in higher energy density. A global study further emphasized the potential for rooftop solar integration, indicating that targeted policy could make it more cost-effective than ground-mounted systems. These findings underscore the importance of strategic land management and integrating solar into the built environment to help achieve net-zero targets and minimize environmental impact.
New model reveals pathway for land-efficient U.S. solar expansion
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