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CSUK renewable energy initiative

Smart Solar Potential Analysis

90% reduction in field-survey costs through remote rooftop analysis across London suburbs. A UK clean-energy initiative needed to identify residential rooftops suitable for solar installation at city scale. Traditional field surveys were too slow, expensive, and operationally impractical for the speed required to support national renewable-energy targets. The challenge was to accurately assess roof orientation, sunlight exposure, and shading conditions across thousands of homes — without sending teams on-site. 90% reduction in surveying overhead. High-speed rooftop qualification across London districts. Accurate south-facing and shade-free roof identification for rapid solar deployment.

"Remote rooftop analysis reduced solar survey costs, accelerated renewable-energy planning and enabled scalable residential solar feasibility assessment across urban districts. "

Industry
Energy & Utilities
Service
Generative AI, Product Engineering
Smart Solar Potential Analysis
90%
Reduction in manual surveying costs
Thousands
Of residential rooftops assessed remotely
Faster
Solar rollout planning across urban districts

Challenge

The project required large-scale rooftop analysis across dense urban neighbourhoods where shading from nearby buildings and trees could drastically reduce solar efficiency. Only specific roof orientations delivered viable energy returns, making manual assessment slow, inconsistent, and expensive. The client needed a scalable way to identify installation-ready properties without relying on field teams.

Approach

SBL Infotech built a remote geospatial assessment workflow using Google Earth, Google Maps, and Roofray to analyse roof geometry, orientation, usable surface area, and shadow exposure. Dedicated GIS specialists evaluated residential properties against predefined solar viability criteria, filtering for south-facing, shade-free rooftops with optimal installation potential. Multi-layer validation across 2D and 3D mapping environments ensured consistent accuracy and rapid processing at district scale.

Outcome

The client gained a scalable solar feasibility pipeline capable of accelerating renewable-energy adoption without the bottleneck of physical inspections. High-potential rooftops could now be identified remotely, enabling faster planning, lower operational costs, and more targeted solar installation programmes across London and surrounding suburbs.
IX Case studies

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