3D Scanning Solar Panel Optimisation: Metro Gross Market Rooftop Project
Client: Metro Grossmarket
Industry: Retail & Renewable Energy Infrastructure
Scope: Aerial Photogrammetry, 3D Point Cloud Capture, As-Built Roof Documentation, Solar Panel Placement Optimisation
Location: Konya, Turkey (nationwide rollout)
The Project
Metro Gross Market, one of the largest wholesale retail chains, planned the installation of rooftop solar energy systems across its nationwide network of stores. Before a single panel could be mounted, the engineering team needed something no architectural drawing could provide: centimetre-accurate 3D models of every rooftop, capturing exact dimensions, slopes, obstructions, drainage systems, HVAC units, and structural features that would determine where and how solar panels could be positioned for maximum energy output.
The Konya Metro store served as the pilot project for this nationwide initiative. Using drone-based aerial photogrammetry and advanced 3D modelling workflows, we produced a high-precision digital twin of the entire building — enabling engineers to calculate optimal panel placement, tilt angles, and spacing without requiring repeated physical site visits or manual measurements prone to human error.
The Challenge
Rooftop solar installations on large commercial buildings are engineering projects where millimetres matter. The challenges for this project extended well beyond standard facility documentation:
Centimetre-Level Accuracy Requirements
Solar panel efficiency depends directly on precise positioning. Panel tilt angles must align with local solar geometry — even small deviations reduce energy yield significantly over the system’s 25+ year operational lifespan. The 3D survey data needed to achieve ±2cm accuracy across the entire rooftop surface, capturing subtle slopes and elevation changes invisible to the naked eye but critical for engineering calculations.
Complex Rooftop Geometry
Large retail buildings feature rooftops cluttered with mechanical equipment — HVAC systems, ventilation units, drainage infrastructure, antenna masts, access hatches, and structural parapets. Each obstruction creates shadow zones that reduce panel efficiency and restricts available mounting area. Traditional 2D surveys and architectural plans fail to capture these elements with the spatial precision required for optimised panel layout design.
Scalable Methodology for National Rollout
The Konya location was a pilot — the methodology needed to be repeatable, efficient, and scalable across dozens of Metro stores throughout Turkey. This meant developing a standardised workflow from aerial capture through processing and engineering-ready deliverable formats, enabling consistent quality regardless of building size, location, or rooftop complexity.
Minimising Operational Disruption
Metro stores operate continuously with high customer traffic and active loading dock operations. The survey work could not disrupt retail operations, block delivery access, or create safety hazards for staff and customers. All data capture needed to be completed efficiently during a defined access window.
Our Approach
Drone-Based Aerial Photogrammetry
We deployed enterprise-grade drone systems to capture comprehensive aerial imagery of the entire building and surrounding site. Systematic flight patterns at multiple altitudes and angles produced hundreds of overlapping high-resolution photographs covering every surface, obstruction, and structural detail. This non-invasive approach eliminated the need for roof access, scaffolding, or disruption to store operations — the entire aerial capture was completed without any impact on daily business.
High-Density 3D Mesh & Point Cloud Generation
Raw aerial imagery was processed using photogrammetry software (ContextCapture) to generate a dense 3D mesh model containing over 1.1 million triangles and 615,000+ vertices — capturing the building’s geometry with centimetre-level precision. The resulting 3D model accurately represents roof slopes, elevation changes, equipment positions, parapet heights, and structural features critical for solar engineering calculations.
As-Built Survey Maps
From the 3D model, we extracted precise as-built survey maps (halihazır haritası) — the official documentation format required by Turkish engineering standards for construction and infrastructure projects. These maps provide the dimensional accuracy and coordinate reference data that structural engineers and solar installation teams need for detailed project planning, permit applications, and regulatory compliance.
Solar Panel Placement Optimisation
The precise 3D data enabled engineering analysis that determined optimal panel positioning for maximum solar energy capture. By modelling the building’s exact geometry, engineers calculated the ideal panel tilt angles, row spacing to prevent inter-row shading, and placement configurations that avoid shadow zones created by rooftop equipment. This data-driven approach maximised the system’s energy production efficiency across the full annual solar cycle — a result impossible to achieve through manual measurement or estimation.
Interactive 3D Model
Explore the complete 3D scan of the Metro Konya store below. This interactive model — built from drone photogrammetry data — shows the level of detail captured for solar panel engineering. Rotate, zoom, and inspect the rooftop geometry, equipment positions, and structural features used to calculate optimal GES panel placement.
Deliverables
High-Density 3D Mesh Model: Photorealistic 3D digital twin of the complete building (1.1M triangles, 615.9k vertices) suitable for engineering analysis, solar simulation, and stakeholder presentations.
Point Cloud Data Set: Dense, georeferenced point cloud exported in industry-standard formats (.e57, .las) compatible with BIM, CAD, and GIS platforms for downstream engineering workflows.
As-Built Survey Maps (Halihazır Haritası): Official-format documentation with coordinate reference data meeting Turkish engineering standards for construction permits and regulatory submissions.
GES Optimisation Data Package: Precise rooftop measurements, obstruction mapping, slope analysis, and dimensional data enabling engineers to calculate optimal solar panel placement, tilt angles, and row spacing for maximum energy yield.
Orthophoto & Site Documentation: High-resolution aerial orthophotos providing scaled, measurable top-down views of the building and surrounding site for project planning and record-keeping.
Technical Specifications
| Parameter | Detail |
|---|---|
| Project Type | Rooftop GES (solar energy) 3D survey & optimisation |
| Capture Method | Drone aerial photogrammetry (DJI enterprise platform) |
| Processing Software | Bentley ContextCapture |
| 3D Model Density | 1.1M triangles / 615.9k vertices |
| Accuracy | ±2cm georeferenced precision |
| Location | Konya, Turkey |
| Deliverable Formats | 3D mesh, point cloud (.e57, .las), orthophoto, halihazır haritası |
| Project Scope | Pilot for nationwide Metro Turkey GES rollout |
| Operational Impact | Zero disruption to retail operations |
Why This Matters
Renewable energy infrastructure decisions made from inaccurate data cost money for decades. A solar panel array positioned using approximate measurements or outdated architectural drawings will underperform every single day of its 25-year lifespan — lost energy yield that compounds into significant financial impact over time.
Centimetre-accurate 3D scanning eliminates guesswork from solar installation engineering. The digital twin approach means engineers can test multiple panel configurations virtually before committing to physical installation, optimising energy yield, avoiding shadow zones, and ensuring structural compatibility — all from precise survey data rather than assumptions.
If your facility requires 3D scanning for renewable energy planning, rooftop documentation, or as-built surveys for infrastructure projects, we deliver the precision data that makes engineering decisions reliable. Explore our other industrial case studies or discuss your project requirements.
Frequently Asked Questions
How accurate is drone-based 3D scanning for solar panel planning?
Enterprise-grade drone photogrammetry with ground control points achieves ±2cm accuracy — sufficient for engineering-grade solar panel placement calculations, structural load analysis, and regulatory documentation. This precision captures subtle roof slopes and elevation changes that manual measurements typically miss.
Can you scan commercial buildings without disrupting operations?
Yes. Drone-based aerial capture is completely non-invasive — no roof access, scaffolding, or building entry required. The entire scan is conducted from airspace above the building, meaning retail operations, deliveries, and customer access continue uninterrupted throughout the survey.
What deliverables do you provide for solar energy projects?
We deliver 3D mesh models, dense point clouds in industry-standard formats (.e57, .las, .rcp), georeferenced orthophotos, as-built survey maps, and rooftop obstruction documentation. All data is formatted for direct import into solar simulation software, BIM platforms, and CAD systems used by engineering teams.
How does 3D scanning improve solar panel efficiency?
Precise 3D data enables engineers to calculate exact optimal tilt angles based on actual roof geometry, determine ideal row spacing to prevent inter-row shading, and identify shadow zones from rooftop equipment. This data-driven approach maximises energy yield compared to installations planned from approximate measurements or standard assumptions.
Can this methodology scale across multiple buildings?
Absolutely. The workflow was specifically designed for scalability — the Metro Turkey project served as a pilot for nationwide rollout across the entire store network. Standardised capture protocols and processing pipelines ensure consistent quality and deliverable formats regardless of building size, location, or rooftop complexity.
Do you work on renewable energy projects in Spain and Europe?
Yes. We provide 3D scanning and LiDAR services from our Madrid base, with capability across Spain and Europe. Our methodology applies to any rooftop solar installation, ground-mount solar farm site survey, or renewable energy infrastructure documentation requiring precision 3D data.
What is the difference between a 3D scan and traditional architectural drawings for solar planning?
Traditional drawings show design intent — what a building was supposed to be. 3D scanning captures as-built reality — what the building actually is today, including modifications, settlement, equipment additions, and structural changes accumulated over years of operation. For solar engineering, only as-built accuracy delivers reliable optimisation results.
How long does a rooftop 3D scanning project take?
Aerial capture for a single commercial building typically takes 2–4 hours on-site. Processing and delivery of engineering-ready 3D models and survey documentation takes 5–7 business days. Multi-building campaigns follow sequential scheduling for maximum efficiency. Contact us with your project scope for a detailed timeline.