{"id":501755,"date":"2026-02-14T18:08:50","date_gmt":"2026-02-14T18:08:50","guid":{"rendered":"https:\/\/tkmphoto.com\/?page_id=501755"},"modified":"2026-02-24T18:50:53","modified_gmt":"2026-02-24T18:50:53","slug":"salones-de-exposicion-de-bmw-3","status":"publish","type":"page","link":"https:\/\/tkmphoto.com\/es\/casos-practicos\/salones-de-exposicion-de-bmw-3\/","title":{"rendered":"Salones de exposici\u00f3n de BMW"},"content":{"rendered":"\n<h1 class=\"wp-block-heading has-large-font-size\">3D Scanning Solar Panel Optimisation: Metro Gross Market Rooftop Project<\/h1>\n\n<div class=\"wp-block-stackable-image stk-block-image stk-block stk-metro-hero\" data-block-id=\"metro-hero\"><style>.stk-metro-hero {margin-bottom:20px !important;}.stk-metro-hero .stk-img-wrapper{width:100% !important;height:435px !important;}.stk-metro-hero .stk-img-wrapper img{object-position:50% 50% !important;}<\/style><figure><span class=\"stk-img-wrapper stk-image--shape-stretch\"><img loading=\"lazy\" decoding=\"async\" class=\"stk-img wp-image-501499\" src=\"https:\/\/tkmphoto.com\/wp-content\/uploads\/2026\/02\/3-d-14.webp\" width=\"1920\" height=\"1374\" alt=\"3D LiDAR scanning and photogrammetry of Metro Turkey retail store rooftop for solar panel GES installation optimisation showing point cloud and 3D mesh model\" srcset=\"https:\/\/tkmphoto.com\/wp-content\/uploads\/2026\/02\/3-d-14.webp 1920w, https:\/\/tkmphoto.com\/wp-content\/uploads\/2026\/02\/3-d-14-300x215.webp 300w, https:\/\/tkmphoto.com\/wp-content\/uploads\/2026\/02\/3-d-14-1024x733.webp 1024w, https:\/\/tkmphoto.com\/wp-content\/uploads\/2026\/02\/3-d-14-768x550.webp 768w, https:\/\/tkmphoto.com\/wp-content\/uploads\/2026\/02\/3-d-14-1536x1099.webp 1536w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><\/span><\/figure><\/div>\n\n<p style=\"font-size:clamp(14px, 0.875rem + ((1vw - 3.2px) * 0.313), 18px);\"><strong>Client:<\/strong> Metro Grossmarket<br\/><strong>Industry:<\/strong> Retail &amp; Renewable Energy Infrastructure<br\/><strong>Scope:<\/strong> Aerial Photogrammetry, 3D Point Cloud Capture, As-Built Roof Documentation, Solar Panel Placement Optimisation<br\/><strong>Location:<\/strong> Konya, Turkey (nationwide rollout)<\/p>\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n<h2 class=\"wp-block-heading has-large-font-size\">The Project<\/h2>\n\n<p>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.<\/p>\n\n<p>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 \u2014 enabling engineers to calculate optimal panel placement, tilt angles, and spacing without requiring repeated physical site visits or manual measurements prone to human error.<\/p>\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n<h2 class=\"wp-block-heading has-large-font-size\">The Challenge<\/h2>\n\n<p>Rooftop solar installations on large commercial buildings are engineering projects where millimetres matter. The challenges for this project extended well beyond standard facility documentation:<\/p>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">Centimetre-Level Accuracy Requirements<\/h3>\n\n<p>Solar panel efficiency depends directly on precise positioning. Panel tilt angles must align with local solar geometry \u2014 even small deviations reduce energy yield significantly over the system&#8217;s 25+ year operational lifespan. The 3D survey data needed to achieve \u00b12cm accuracy across the entire rooftop surface, capturing subtle slopes and elevation changes invisible to the naked eye but critical for engineering calculations.<\/p>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">Complex Rooftop Geometry<\/h3>\n\n<p>Large retail buildings feature rooftops cluttered with mechanical equipment \u2014 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.<\/p>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">Scalable Methodology for National Rollout<\/h3>\n\n<p>The Konya location was a pilot \u2014 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.<\/p>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">Minimising Operational Disruption<\/h3>\n\n<p>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.<\/p>\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n<h2 class=\"wp-block-heading has-large-font-size\">Our Approach<\/h2>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">Drone-Based Aerial Photogrammetry<\/h3>\n\n<p>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 \u2014 the entire aerial capture was completed without any impact on daily business.<\/p>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">High-Density 3D Mesh &amp; Point Cloud Generation<\/h3>\n\n<p>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 \u2014 capturing the building&#8217;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.<\/p>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">As-Built Survey Maps <\/h3>\n\n<p>From the 3D model, we extracted precise as-built survey maps (halihaz\u0131r haritas\u0131) \u2014 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.<\/p>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">Solar Panel Placement Optimisation<\/h3>\n\n<p>The precise 3D data enabled engineering analysis that determined optimal panel positioning for maximum solar energy capture. By modelling the building&#8217;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&#8217;s energy production efficiency across the full annual solar cycle \u2014 a result impossible to achieve through manual measurement or estimation.<\/p>\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n<h2 class=\"wp-block-heading has-large-font-size\">Interactive 3D Model<\/h2>\n\n<p>Explore the complete 3D scan of the Metro Konya store below. This interactive model \u2014 built from drone photogrammetry data \u2014 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.<\/p>\n\n<div class=\"sketchfab-embed-wrapper\" style=\"margin-bottom:24px;\"> <iframe loading=\"lazy\" title=\"Konya Metro Ma\u011fazas\u0131 GES Halihaz\u0131r\" frameborder=\"0\" allowfullscreen=\"\" mozallowfullscreen=\"true\" webkitallowfullscreen=\"true\" allow=\"autoplay; fullscreen; xr-spatial-tracking\" xr-spatial-tracking=\"\" execution-while-out-of-viewport=\"\" execution-while-not-rendered=\"\" web-share=\"\" width=\"100%\" height=\"500\" src=\"https:\/\/sketchfab.com\/models\/719812d5550f49bc8eddb6bf501adbce\/embed\"> <\/iframe><\/div>\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n<h2 class=\"wp-block-heading has-large-font-size\">Deliverables<\/h2>\n\n<p><strong>High-Density 3D Mesh Model:<\/strong> Photorealistic 3D digital twin of the complete building (1.1M triangles, 615.9k vertices) suitable for engineering analysis, solar simulation, and stakeholder presentations.<\/p>\n\n<p><strong>Point Cloud Data Set:<\/strong> Dense, georeferenced point cloud exported in industry-standard formats (.e57, .las) compatible with BIM, CAD, and GIS platforms for downstream engineering workflows.<\/p>\n\n<p><strong>As-Built Survey Maps (Halihaz\u0131r Haritas\u0131):<\/strong> Official-format documentation with coordinate reference data meeting Turkish engineering standards for construction permits and regulatory submissions.<\/p>\n\n<p><strong>GES Optimisation Data Package:<\/strong> 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.<\/p>\n\n<p><strong>Orthophoto &amp; Site Documentation:<\/strong> High-resolution aerial orthophotos providing scaled, measurable top-down views of the building and surrounding site for project planning and record-keeping.<\/p>\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n<h2 class=\"wp-block-heading has-large-font-size\">Technical Specifications<\/h2>\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Parameter<\/th><th>Detail<\/th><\/tr><\/thead><tbody><tr><td>Project Type<\/td><td>Rooftop GES (solar energy) 3D survey &amp; optimisation<\/td><\/tr><tr><td>Capture Method<\/td><td>Drone aerial photogrammetry (DJI enterprise platform)<\/td><\/tr><tr><td>Processing Software<\/td><td>Bentley ContextCapture<\/td><\/tr><tr><td>3D Model Density<\/td><td>1.1M triangles \/ 615.9k vertices<\/td><\/tr><tr><td>Accuracy<\/td><td>\u00b12cm georeferenced precision<\/td><\/tr><tr><td>Location<\/td><td>Konya, Turkey<\/td><\/tr><tr><td>Deliverable Formats<\/td><td>3D mesh, point cloud (.e57, .las), orthophoto, halihaz\u0131r haritas\u0131<\/td><\/tr><tr><td>Project Scope<\/td><td>Pilot for nationwide Metro Turkey GES rollout<\/td><\/tr><tr><td>Operational Impact<\/td><td>Zero disruption to retail operations<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n<h2 class=\"wp-block-heading has-large-font-size\">Why This Matters<\/h2>\n\n<p>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 \u2014 lost energy yield that compounds into significant financial impact over time.<\/p>\n\n<p>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 \u2014 all from precise survey data rather than assumptions.<\/p>\n\n<p>If your facility requires <a href=\"\/3d-scanning-bim-lidar-madrid\/\">3D scanning for renewable energy planning<\/a>, rooftop documentation, or as-built surveys for infrastructure projects, we deliver the precision data that makes engineering decisions reliable. Explore our other <a href=\"\/case-studies\/\">industrial case studies<\/a> or <a href=\"\/contact\/\">discuss your project requirements<\/a>.<\/p>\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n<h2 class=\"wp-block-heading has-large-font-size\">Frequently Asked Questions<\/h2>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">How accurate is drone-based 3D scanning for solar panel planning?<\/h3>\n\n<p>Enterprise-grade drone photogrammetry with ground control points achieves \u00b12cm accuracy \u2014 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.<\/p>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">Can you scan commercial buildings without disrupting operations?<\/h3>\n\n<p>Yes. Drone-based aerial capture is completely non-invasive \u2014 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.<\/p>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">What deliverables do you provide for solar energy projects?<\/h3>\n\n<p>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.<\/p>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">How does 3D scanning improve solar panel efficiency?<\/h3>\n\n<p>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.<\/p>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">Can this methodology scale across multiple buildings?<\/h3>\n\n<p>Absolutely. The workflow was specifically designed for scalability \u2014 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.<\/p>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">Do you work on renewable energy projects in Spain and Europe?<\/h3>\n\n<p>Yes. We provide <a href=\"\/3d-scanning-bim-lidar-madrid\/\">3D scanning and LiDAR services<\/a> 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.<\/p>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">What is the difference between a 3D scan and traditional architectural drawings for solar planning?<\/h3>\n\n<p>Traditional drawings show design intent \u2014 what a building was supposed to be. 3D scanning captures as-built reality \u2014 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.<\/p>\n\n<h3 class=\"wp-block-heading has-medium-font-size\">How long does a rooftop 3D scanning project take?<\/h3>\n\n<p>Aerial capture for a single commercial building typically takes 2\u20134 hours on-site. Processing and delivery of engineering-ready 3D models and survey documentation takes 5\u20137 business days. Multi-building campaigns follow sequential scheduling for maximum efficiency. <a href=\"\/contact\/\">Contact us<\/a> with your project scope for a detailed timeline.<\/p>\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-black-background-color has-background wp-element-button\" href=\"https:\/\/tkmphoto.com\/es\/contacto\/\">Discuss Your 3D Scanning &amp; Renewable Energy Project<\/a><\/div>\n<\/div>\n\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"Article\",\n  \"headline\": \"Metro Turkey Rooftop Solar GES: 3D Scanning & Panel Placement Optimisation\",\n  \"description\": \"Case study: Drone photogrammetry and 3D scanning of Metro Turkey retail store rooftops enabling centimetre-accurate solar panel (GES) placement optimisation for maximum energy yield across a nationwide rollout.\",\n  \"image\": {\n    \"@type\": \"ImageObject\",\n    \"url\": \"HERO-IMAGE-URL-BURAYA\",\n    \"caption\": \"3D photogrammetry scan of Metro Turkey store rooftop for solar panel GES optimisation\"\n  },\n  \"author\": {\n    \"@type\": \"Organization\",\n    \"name\": \"TKM Photo\",\n    \"url\": \"https:\/\/tkmphoto.com\"\n  },\n  \"publisher\": {\n    \"@type\": \"Organization\",\n    \"name\": \"TKM Photo\",\n    \"url\": \"https:\/\/tkmphoto.com\",\n    \"logo\": {\n      \"@type\": \"ImageObject\",\n      \"url\": \"https:\/\/tkmphoto.com\/wp-content\/uploads\/2025\/10\/tkm-photo-logo.png\"\n    }\n  },\n  \"mainEntityOfPage\": {\n    \"@type\": \"WebPage\",\n    \"@id\": \"https:\/\/tkmphoto.com\/case-studies\/metro-turkey-rooftop-solar-3d-scanning\/\"\n  },\n  \"about\": {\n    \"@type\": \"Service\",\n    \"name\": \"3D Scanning for Renewable Energy Infrastructure\",\n    \"provider\": {\n      \"@type\": \"Organization\",\n      \"name\": \"TKM Photo\"\n    }\n  },\n  \"workExample\": {\n    \"@type\": \"CreativeWork\",\n    \"about\": \"Metro Turkey rooftop 3D scanning and photogrammetry for solar panel GES placement optimisation with centimetre-level accuracy\"\n  },\n  \"keywords\": [\"3D scanning solar panel\", \"rooftop photogrammetry\", \"GES optimisation\", \"drone 3D survey\", \"solar panel placement\", \"LiDAR scanning renewable energy\", \"as-built documentation\", \"point cloud solar engineering\", \"BIM solar installation\", \"3D scanning Madrid\", \"industrial drone survey\"]\n}\n<\/script>\n\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How accurate is drone-based 3D scanning for solar panel planning?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Enterprise-grade drone photogrammetry with ground control points achieves \u00b12cm accuracy \u2014 sufficient for engineering-grade solar panel placement calculations, structural load analysis, and regulatory documentation. 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