Modules (Number of modules: 3 520)
Neznámé - použit vzorový panel 315 W
Structure
Roof structure
Module technology
-
Module layout
-
Data collection
Name
DroneTech s.r.o.
Pilot
Ing. Ondřej Staněk
UAS
Matrice 30T
Camera
M30T
Weather
Humidity
60 %
Temperature
13° C
Wind speed
0 m/s
Intensity of solar radiation
1050 W/m2
Cloud cover
Inspection
Inspection type
DEFAULTREGULAREMERGENCY
Overall assessment
h
CZK/kWh
The following anomalies were found on the panels of the inspected photovoltaic power plant, with a total of 140 on 140 modules. The total estimated annual power loss is 21 784 000 000,00 kWh.
Anomaly name
Number of anomalies *(1)
Number of modules *(2)
Estimated power loss (kW) *(3)
Estimated power loss (%) *(4)
Estimated annual power loss (kWh) *(5)
Estimated annual financial loss (CZK) *(6)
0.52
416000000
1664000000
Cell Low
5
5
0,52 kW
0,06 %
416 000 000,00 kWh
1 664 000 000,00 CZK
0.1
80000000
320000000
Cell Medium
1
1
0,10 kW
0,01 %
80 000 000,00 kWh
320 000 000,00 CZK
0.16
128000000
512000000
Cell Multi High
1
1
0,16 kW
0,02 %
128 000 000,00 kWh
512 000 000,00 CZK
1.42
1136000000
4544000000
Cell Multi Low
9
9
1,42 kW
0,15 %
1 136 000 000,00 kWh
4 544 000 000,00 CZK
0.47
376000000
1504000000
Cell Multi Medium
3
3
0,47 kW
0,05 %
376 000 000,00 kWh
1 504 000 000,00 CZK
0.95
760000000
3040000000
Cracking
3
3
0,95 kW
0,10 %
760 000 000,00 kWh
3 040 000 000,00 CZK
5.98
4784000000
19136000000
Diode
57
57
5,98 kW
0,63 %
4 784 000 000,00 kWh
19 136 000 000,00 CZK
0.21
168000000
672000000
Diode Multi
1
1
0,21 kW
0,02 %
168 000 000,00 kWh
672 000 000,00 CZK
0.31
248000000
992000000
Internal Short Circuit High
3
3
0,31 kW
0,03 %
248 000 000,00 kWh
992 000 000,00 CZK
0.1
80000000
320000000
Internal Short Circuit Low
1
1
0,10 kW
0,01 %
80 000 000,00 kWh
320 000 000,00 CZK
16.38
13104000000
52416000000
Module
52
52
16,38 kW
1,73 %
13 104 000 000,00 kWh
52 416 000 000,00 CZK
0.63
504000000
2016000000
Soiling
4
4
0,63 kW
0,07 %
504 000 000,00 kWh
2 016 000 000,00 CZK
Total
140
140
27,23 kW
2,88 %
21 784 000 000,00 kWh
87 136 000 000,00 CZK
*(1) Anomaly: Number of occurrences of a given anomaly type. *(2) Modules: Number of modules affected by the given anomaly type. *(3) Estimated Power Loss (kW): The estimated power loss is defined as the product of the number of affected modules, the plant’s peak power (STC), and the anomaly-specific performance impact factor (on a scale from 0 to 1). *(4) Estimated Power Loss (%): The estimated power loss expressed as the ratio of the lost power to the plant’s total capacity, shown in percentage terms. *(5) Estimated Annual Power Loss (kWh): The estimated annual energy loss in kilowatt-hours, calculated as the power loss multiplied by the number of solar hours per year. *(6) Estimated Annual Financial Loss (CZK): The estimated annual financial loss is calculated based on the annual energy loss in kilowatt-hours multiplied by the price per kilowatt-hour. The price per kilowatt-hour is determined according to the feed-in tariff provided by the client for the purpose of this calculation.
For more information about individual anomaly types, please refer to the end of this document.
Course and Processing of Aerial Thermographic Measurement
For the purpose of this report, the methodology of aerial thermographic inspection was applied, during which infrared thermal images were captured using unmanned aerial systems (drones). This enabled detailed and highly accurate measurement of the thermal characteristics of photovoltaic (PV) modules. The evaluation was performed in accordance with the requirements of IEC TS 62446-3. The applied methodology allows for the detection of thermal anomalies and effective diagnosis of system faults from an aerial perspective, ensuring precise localization of identified defects.
Thanks to the optimization of the flight and imaging process, all data were collected within a short time frame and under homogeneous meteorological conditions (particularly constant solar irradiance). This minimized the influence of variable factors and allowed for consistent analysis of individual modules.
The analysis was further supported by comprehensive evaluation of aerial images with very high spatial resolution (3 cm/px), which made it possible to identify anomalies at the level of strings, modules, and even single PV cells.
To ensure maximum data integrity and accuracy, all acquired data (RGB color images and infrared IR images) were manually reviewed and cross-correlated, eliminating the possibility of misinterpretation.
Analyzed Anomalies
Cell: Local thermal anomaly at the level of a single PV cell, indicating a potential defect, typically caused by manufacturing faults, material degradation, or mechanical damage.
Cell Multi: Multiple thermal anomalies distributed across several adjacent cells of one module, often signaling a more extensive structural defect or degradation.
Circuit: Fault in the electrical circuit, manifested by outage or underperformance of multiple strings, related to connection or insulation issues.
Combiner: Anomaly caused by a defect at the point of combining multiple strings into one DC flow, often linked to poor connections, cable degradation, or failure of protective components.
Cracking: Occurrence of micro-cracks or macro-cracks in the glass or laminated structure of the module, leading to localized overheating, reduced performance, and risk of further degradation.
Damaged: Mechanical deformation of the module, including bending, displacement, physical damage, or extensive cracking, which may cause significant power losses and increased safety risk.
Delamination: Separation of the glass, encapsulant, or active layer of the module, leading to degradation of protective properties, higher susceptibility to moisture ingress, and reduced performance.
Diode: Activation of a bypass diode as a result of a failed cell or module, indicating the presence of a serious localized defect affecting part of the production chain.
Helix Damage: Permanent deformation of modules or supporting structures caused by mechanical twisting of the tracker, usually due to a malfunction in movement control.
Hot Spot: Small area with significantly higher temperature compared to its surroundings, indicating faulty connections, cell degradation, or partial shading, with a high risk of further defects.
Hot Spot Multi: Occurrence of multiple hot spots within a single module, typically in thin-film panels, indicating more extensive structural damage.
Internal Short Circuit: Anomaly resulting from an internal short circuit in the module, causing localized heating and significant performance reduction.
Inverter: Malfunction of the inverter converting DC into AC current, manifested by non-functionality of connected strings and affecting large parts of the system.
Junction Box: Thermal anomaly at the connection point of strings on the module, often indicating faulty joints, corrosion damage, or overheating of electrical contacts.
Missing Module: Physically absent module that was documented as installed according to project records, or removed without documentation update.
Module: Overall thermal anomaly at the level of the entire module, often indicating bypass diode failure, internal damage, or degradation of the whole unit.
Physical Obstruction: Presence of a foreign object (e.g., leaves, stones, snow) on the panel surface causing shading and localized performance loss.
Reverse Polarity: Electrical connection with incorrect polarity, leading to power loss, potential equipment damage, and fault risk.
Shading: Blocking of solar irradiance by vegetation, structures, or other objects, directly reducing energy production efficiency.
Soiling: Accumulation of dust, dirt, bird droppings, or other debris on the panel surface, causing uneven irradiance and reduced performance.
String: Set of PV modules connected in series, where faults in individual modules or connections affect the performance of the entire group.
Tracker Tilt: Incorrect tracker angle setting, reducing the system’s ability to optimize energy production during the day.
Underperforming String: String showing significantly lower temperature difference (and thus output) compared to neighboring strings, usually indicating partial defects.
Vegetation: Shading of modules by vegetation (grass, shrubs, trees), reducing direct solar irradiance and system efficiency.
Anomaly examples
Cell Medium
Anomaly where the cell temperature is higher than the surrounding area by 10–20 °C.
Cell Low
Anomaly where the cell temperature is higher than the surrounding area, but not by more than 10 °C.
Cell Multi High
Overheating of a group of cells, where the anomaly area temperature is higher than the surrounding area by more than 20 °C.
Cell Multi Medium
Overheating of a group of cells, where the anomaly area temperature is higher than the surrounding area by 10–20 °C.
Cell Multi Low
Overheating of a group of cells, where the anomaly area temperature is higher than the surrounding area, but not by more than 10 °C.
Internal Short Circuit High
Multi-cell anomaly occurring within diode boundaries, where the temperature is higher than the surrounding area by more than 20 °C.
Internal Short Circuit Low
Multi-cell anomaly occurring within diode boundaries, where the temperature is higher than the surrounding area, but not by more than 10 °C.
Diode
A bypass diode provides current flow around a faulty cell or module. A diode-type anomaly is indicated as a bypassed diode – typically affecting one-third of the module.
Diode Multi
Multiple activated bypass diodes – typically affecting two-thirds of the module.
Module
The temperature of the entire module is high compared to the surrounding area.
Cracking
Module anomaly caused by surface cracking.
Soiling
Dirt, dust, or other debris on the module surface.