ASSET / SOLAR
Solar PV inspection: finding the one hot module among tens of thousands
A utility-scale solar plant holds tens of thousands of modules. A failing module often looks fine but runs hot. This guide shows how thermal drones change the walk-the-rows inspection, and which checks still belong to ground-based measurement.
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Where solar plants start to deteriorate
Faults in a solar plant fall into three families: module degradation (cell cracks, hot spots, failed bypass diodes, potential-induced degradation (PID), discoloured or delaminated encapsulant, broken glass), electrical faults (open strings, overheating connectors and junction boxes, tripped inverters), and structure, ground and surroundings (corrosion, loose bolts, vegetation, erosion).
| Element | Typical defects | If missed |
|---|---|---|
| Cells & modules | Micro-cracks, hot spots, PID, delamination | Yield loss, local overheating |
| Bypass diodes & junction boxes | Shorted or open diodes, hot terminals | Part of a module stops producing; burn damage |
| Strings, connectors & cables | Open circuits, poor contacts, damaged insulation (including rodents) | A whole string offline; fire risk |
| Glass surface | Breakage, soiling (bird droppings, dust), shading | Soiled spots become hot spots |
| Racking, foundations & ground | Corrosion, loose bolts, slope failure, poor drainage | Racking collapse in storms, washouts |
| Surroundings | Overgrown vegetation, tree shading | Shading losses, blocked access paths |
Today’s inspection and its pain points
In Japan, the 2017 revision of the feed-in tariff (FIT) scheme required generators to carry out maintenance and inspection in line with their approved business plan. Neglecting maintenance can put the approval at risk. Industry associations publish checklists and guides, and inspection typically combines visual checks, electrical measurements and infrared imaging.
The problem is area. Utility-scale plants cover several to dozens of hectares, many on hillsides. Walking the rows in midsummer with a handheld thermal camera, module by module, is slow and carries a real risk of heat stroke.
| Method | Strength | Pain point |
|---|---|---|
| Walking visual inspection | Good for broken glass, racking, vegetation | Days on large sites, work under the sun |
| Handheld thermal camera | Close temperature check | Slow, one module at a time; depends on angle and irradiance |
| I-V curve tracing | Quantifies string performance | Work at every combiner box; hard to pinpoint the module |
| Remote production monitoring | Continuous, flags anomalies early | Often cannot tell which module is at fault |
| Electroluminescence (EL) imaging | Reveals cell cracks | Needs darkness and current injection; laborious in the field |
The other pain is who does the work, and at what scale. Large plants have dedicated O&M contractors, but small plants are far more numerous and often get little attention. Japan has been extending notification and safety-check requirements to smaller commercial PV systems as well.
What drones change
Solar is one of the first fields where drone inspection became routine. The sky is open, GNSS is reliable, and the targets lie flat in neat rows. A drone carrying a thermal and a visible camera together flies an automated route and covers the plant in one go.
| Approach | Typical aircraft & sensors | Best for |
|---|---|---|
| Thermal screening of the whole plant | Radiometric thermal + visual payloads (e.g. DJI Zenmuse H20T/H30T class, Matrice 3TD class) | Hot spots, diode failures, offline strings |
| High-resolution visual imaging | High-megapixel camera | Broken glass, soiling, racking and cable condition |
| Photogrammetry & 3D | RTK drone with mapping camera | Slopes, drainage and ground movement on graded sites |
| Night-time EL & UV fluorescence | High-sensitivity cameras (mostly trials) | Area-wide mapping of cell cracks |
| Docked, scheduled flights | Drone-in-a-box systems | Routine patrols on large sites, rapid post-disaster checks |
The basic pattern is a back-and-forth automated route along the rows. Thermal capture needs strong in-plane irradiance: an IEA PVPS review recommends imaging at more than 600 W/m²; without it, faulty and healthy cells do not separate in temperature. Altitude is set backwards from the resolution needed to resolve a single faulty cell in the thermal image.
How to plan a capture around sun, reflection and infrared conditions is laid out in planning a thermal and visual capture around sun and reflection (Airffic Flight Institute). The same reasoning applies to solar arrays.
Overcoming the environment
Solar sites are open and easy to fly. But the best time to inspect is midday under strong sun — the hottest part of the day. Aircraft, batteries and people all bake. And module glass is also a mirror for the sky and sun, which can fool thermal images.
- Heat: at midsummer noon battery temperatures climb and flight time can shrink. Store packs in shade, let them cool after charging and rotate spares. Plan for heat stroke prevention for the crew too. Heat
- Reflections: the sun or the drone itself mirrored in the glass can look like a hot spot. Capture close to perpendicular to the module plane and plan routes that avoid solar reflections.
- Clouds and wind: passing clouds change irradiance and scramble temperature differences; strong wind cools the surface and hides contrast. Log conditions with an irradiance meter.
- Floating and rooftop PV: floating plants risk a ditched aircraft; rooftops often have people below. See water, spray & humidity and urban areas & people below.
From images to decisions
A single flight produces thousands of thermal images. From them you find thermal anomalies, classify them, identify the exact module and decide repair priority. Thermal patterns have recognisable shapes: one hot cell, a hot stripe (suspect a bypass diode), a whole hot module, a whole hot string. The pattern points to the likely cause.
| Step | What machines do | What people own |
|---|---|---|
| Detection | Flag temperature anomalies automatically (deep learning, thresholds) | Reject false alarms from shading, reflection, soiling |
| Classification | Infer fault type from the thermal pattern | Read it alongside visual images to judge the cause |
| Localisation | Overlay orthomosaics on the layout to map module IDs and strings | Check the drawings match what is built |
| Change detection | Compare with last inspection and production data | Interpret how degradation is progressing |
| Decision | — | Replace, clean or claim warranty; confirm with ground measurements |
Solar inspection data becomes far more valuable when linked to production records. If you know how much energy each thermal anomaly is costing, repair priority can be set in money terms. Tie every module ID to the layout, the string and the production data from the start.
Rules and responsibility
In Japan, PV plants fall under both the Electricity Business Act (conformity to technical standards and a safety organisation scaled to plant size) and the Renewable Energy Act (maintenance in line with the business plan). Whether to use drones is the operator’s choice, but recording the results and fixing faults is the operator’s responsibility.
Internationally, IEC TS 62446-3 sets out how infrared inspection of PV plants should be carried out and has become the common language for capture conditions and fault classes. Warranty claims sometimes require reports in this format.
Flight rules are separate. Most plants are outside densely inhabited districts, but distance to roads and houses beyond the fence and whether you fly beyond visual line of sight (BVLOS) automatically change what permissions you need — all the more so for unattended patrols from a drone dock. Compare countries in world regulations.
What drones cannot do
- Confirming the cause: you can see that a module is hot but often not why. Back it up with I-V tracing or a close-up check.
- Electrical safety: insulation resistance tests and work inside combiner boxes are for qualified electricians.
- Fine cell cracks: some cracks never show in daytime thermal images. They need EL imaging or another method.
- Under the modules: racking and bolts under the panels are invisible from above; check them from the ground.
- Weak-sun days: under cloud or weak winter sun, thermal contrast simply does not appear. Inspection windows are limited.
2035: the world where inspection works
In the corner of a hillside plant sits a drone box. When the irradiance sensor reads strong enough sun, the drone takes off on its own, maps the rows thermally and returns. By evening, a list of modules worth fixing — thermal images matched against production records — reaches the O&M contractor. After heavy rain it checks the slopes for washouts too. That is the picture our editors expect.
Nobody walks the rows under a burning sun. Instead people fix faults in order of lost energy, handle warranty claims and plan for recycling when modules reach end of life. Inspection shifts from searching module by module to caring for the whole life of the plant.
PREPARATION
Pre-flight preparation checklist
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Cases for this asset
- 55 MW solar field in Tamil Nadu, India: thermal drone survey flags 2,481 of about 233,000 panelsMoongiltholuvu, Tamil Nadu, India · 2021
- DEWA (Dubai): drone checks of the 600 kW rooftop PV array on its sustainable buildingDEWA sustainable building, Al Quoz, Dubai, United Arab Emirates · 2015
Related papers
- Survey on Coverage Path Planning with Unmanned Aerial VehiclesCabreira, T. M. 2019
- Light Unmanned Aerial Vehicles (UAVs) for Cooperative Inspection of PV PlantsBellezza Quater, P. 2014
- Drone-Based Non-Destructive Inspection of Industrial Sites: A Review and Case StudiesNooralishahi, P. 2021
- Thermal Infrared and Visual Inspection of Photovoltaic Installations by UAV Photogrammetry—Application Case: MoroccoZefri, Y. 2018
Country sources(55)
- Solar PV panel drone inspection support solutionJP · シャープ 研究開発本部
- Smart drones manage Saemangeum onshore solar plantKR · 스마트투데이
- Korea Southern Power unveils drone-AI renewable inspection systemKR · 뉴시스
- AI and drones to catch solar plant defectsKR · 산업일보
- Use of drones in digital inspection of PV power stationsCN · 农村电气化(中国电机工程学会系期刊)
- China Three Gorges launches its first smart drone inspection system for PV and windCN · IT之家
- UAV safety inspection requirements for onshore oil and gas fields, Part 4: PV plantsCN · 公共安全科学技术学会(全国团体标准信息平台)
- Thermographic inspections of solar photovoltaic plants in India using UAVs: Analysing the gap between theory and practiceIN · Renewable Energy (Elsevier), via RePEc/IDEAS
- Solar PV plant assessment using Unmanned Aerial Vehicle (Drone)IN · TÜV India (TÜV NORD Group)
- Construction journey of Sembcorp Tengeh Floating Solar FarmSG · Sembcorp Industries
- Drones and AI used to survey and analyse solar plant dataVN · Tạp chí Công Thương(商工省系の業界誌)
- Automated drones to monitor floating solar farm in ThailandTH · Southeast Asia Infrastructure
Check the evidence
Rules, figures and cases cite the sources below. Future scenarios and design proposals are the editors’ own view.
- IEC TS 62446-3: Photovoltaic systems – Outdoor infrared thermography of photovoltaic modules and plantsInternational Electrotechnical Commission · Full text read
- Aichi Prefecture: Maintenance of residential PV systems (FIT Act requirement)Aichi Prefectural Government · Full text read
- JPEA et al.: Simple checklist for PV plants (2018, Japanese)JPEA and the Renewable Energy Maintenance Technology Association · Full text read
- IEA PVPS Task 13: Review on Infrared and Electroluminescence Imaging for PV Field Applications (2018)International Energy Agency PVPS · Full text read
- Sharp: Drone-based PV panel inspection supportSharp R&D · Full text read
- MLIT: No-fly airspace and flight methods for unmanned aircraftMLIT Civil Aviation Bureau · Full text read
Sources checked: 2026-10-22