Case study / SustainabilityResidential solar potential mapping

Rooftop data became solar rollout intelligence.

Residential rooftops across London and surrounding areas were remotely assessed for solar suitability using roof orientation, area and shading analysis.

01 Case snapshot

Operations became solar rollout intelligence.

90%
Fieldwork reduction
London
Coverage area
Multi-map
Analysis stack

Residential rooftops across London and surrounding areas were remotely assessed for solar suitability using roof orientation, area and shading analysis.

The challenge

Manual surveying could not assess enough residential buildings quickly enough to support large-scale solar rollout.

Only roofs with suitable orientation and limited shading could support the expected energy yield.

The approach

SBL defined ideal roof criteria and used Google Earth, Google Maps and Roofray to assess residential suitability remotely.

The team cross-checked roof geometry, sun exposure and shading constraints before preparing a qualified site database.

Stage 01

Define

Set suitability criteria for roof slope, orientation and shade.

Stage 02

Assess

Use map and solar tools to qualify residential rooftops remotely.

Stage 03

Prioritize

Prepare a database of high-probability solar installation sites.

The result

The program reduced manual fieldwork and gained a faster path to identify ready-to-install residential solar sites.

  • Remote analysis reduced manual surveying by about 90%.
  • South-facing and shade-free rooftops were prioritized.
  • Multiple mapping tools supported roof area and exposure review.
  • The output helped accelerate residential solar planning.
04 Talk to us

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