top of page

Table of Contents

Basics: Viewing reduced power output as a potential panel mismatch

Sign 1: Persistent power differences between strings under the same conditions

Sign 2: Only some panels show different appearances of soiling, shading, or degradation

Sign 3: Power generation trends changed after replacement or expansion

Sign 4: The connection between measured values and the on-site layout is difficult to explain

Checks to perform before suspecting panel mismatch

Information to record on site and considerations for preventing recurrence

Summary: Assess reduced power output by linking the numbers with on-site observations


Basics of Viewing Reduced Power Output as a Potential Panel Mismatch

When a photovoltaic system is generating less power, the causes most often checked first are bad weather, dirt, shading, stoppage of the power conditioner, output control, and wiring or connection faults. These are typical inspection items, but at some sites a panel mismatch can also be behind the reduced output. Here, "panel mismatch" refers to a condition in which panels within the same circuit or the same string do not match in output characteristics, degradation state, installation conditions, model, orientation, or the way they receive shading, etc.


Solar panels are operated not individually but in combinations of multiple panels. In particular, in strings connected in series, large differences in the conditions of the constituent panels can affect the current and the operating point. Situations such as only some panels being heavily soiled, only some being shaded, only some being more degraded, or panels with different specifications being installed during replacement can appear not as a problem of that single panel but as a reduction in power generation at the string level.


However, it is not appropriate to immediately conclude there is a panel mismatch just because power output is low. Power output is influenced by solar irradiance, ambient temperature, cloud movement, snowfall, soiling, equipment outages, curtailment, and the conditions under which measurements are taken. What is important is not merely the low output itself, but tracking over what range, since when, under which conditions, and to what extent the difference appears. Panel mismatch is easier to detect as a repeated tendency at the same location or within the same system than as a one‑off drop.


In practice, the point to check is not just the total power generation of the facility. If the entire system is uniformly low, factors such as weather, irradiance conditions, output control, or differences in the measurement period may be involved. On the other hand, if within an area that should have the same azimuth, the same tilt, and the same irradiance conditions a particular string or specific area is consistently lower, there is reason to suspect panel mismatch or differences in local installation conditions.


Also, panel mismatch is not caused solely by installation errors. Even panels that were uniform at the design stage do not necessarily age uniformly. Factors such as trees, buildings, the height of the racking, drainage flow, the way dust accumulates, bird damage, fallen leaves, and how snow remains can cause differences in condition between panels within the same power plant. In used equipment or power plants that have been in operation for a long time, past replacement histories may not be well organized, and panels with differing specifications and conditions may coexist.


This article organizes four signs for distinguishing between reduced power generation and panel mismatch, arranged in order of ease of verification on site. The purpose is not to definitively single out one cause of low generation, but to clarify which information to look at to narrow down the possibility of panel mismatch. By correlating generation figures, monitor readouts, inspection records, on-site photos, panel layout diagrams, and replacement histories, you can reduce unnecessary work and make it easier to improve the accuracy of cause investigations.


Sign 1: Power generation differences persist between strings under identical conditions

The basic sign for identifying panel mismatch is a persistent difference in power generation between strings that should be under the same conditions. If strings are configured with the same azimuth, the same tilt, the same number of panels, and the same connection conditions, their generation trends are expected to show broadly similar behavior unless solar irradiance conditions change significantly. They will not be exactly the same, but if a particular string is consistently lower every day, the difference becomes more pronounced on clear days, or the difference reproduces at the same time of day, local factors should be suspected.


What is important here is not to judge based only on a single day's power generation. Short-term variations can be large due to cloud movement, temporary shading, or differences in measurement timing. When you receive a consultation about low power generation, look at trends over multiple days and, if possible, check sunny days separately from cloudy days. If differences are small on cloudy days but large only on sunny days, the effects of output characteristics under solar irradiance, localized shading, soiling, or degradation may become more apparent.


In string-level comparisons, check not only power output but also trends in voltage and current. In series connections, if the output of some of the panels that make up the string drops, it can affect the operation of the entire string. Tracking whether the voltage is significantly different from others, whether only the current is low, or whether the discrepancy widens at certain times of day makes it easier to narrow down the likely cause. However, because measured values can appear different depending on the instrument’s display specifications and sampling interval, it is important to compare values obtained under the same conditions.


Within the same power plant, string configurations are not necessarily identical. Differences in the number of panels, orientation (azimuth), tilt angle, racking elevation, cable length, or inverter-side input conditions will cause differences in power output. When you find a string with lower output, first confirm that the one you are comparing it to is truly under the same conditions. If you look only at the differences without aligning the comparison assumptions, you may mistake design differences or layout-condition differences for abnormalities.


If differences in power generation between strings persist, the next thing to check is the commonalities among the panels that make up those strings. Verify whether they are concentrated in a particular column, more frequent at the edges, in areas close to the ground, in locations prone to shading, or in sections that were replaced in the past. If the low-output strings align with the site layout, you can narrow the scope of the investigation. Conversely, if the decline appears only in the numbers and does not correspond to the site layout, you should also check for errors in the measurement system or the wiring diagram.


Even if panel mismatch is suspected, it is inefficient to immediately perform detailed measurements on all panels. It is more practical to first identify the strings with low power output and then look within those for panels that differ in appearance or installation conditions. By cross-referencing per-string generation records, site photos, panel layout drawings, and connection diagrams, and narrowing down the areas where abnormalities may exist before proceeding to detailed inspections, you can reduce work time while more easily getting closer to the cause.


Sign 2: Only some panels have different-looking dirt, shadows, or degradation

The second sign that helps distinguish between a drop in power generation and panel mismatch is when only some panels are noticeably different in terms of dirt, shading, discoloration, cracking, surface condition, or the influence of their surrounding environment. A drop in power output can be measured numerically, but its underlying causes are often unclear without inspecting the site. Even panels in the same row can show differences: for example, only the end panels may be prone to mud splashes, only lower-positioned panels may be shaded by grass, dirt may remain because of drainage flow, or bird droppings and fallen leaves may accumulate.


When people think of panel mismatch, they tend to imagine differences in model or output specifications, but in practice, effective mismatches can also arise from external conditions. Even panels of the same model can receive less solar irradiance and have generation characteristics that deviate from their surroundings if some are chronically soiled. If only part of an installation is shaded for long periods, it can affect the power generation of the string that includes those panels. If only some panels have progressed degradation, their outputs will be less likely to align under the same irradiance conditions.


When inspecting on site, it is important to look not only for the presence of dirt but also for any uneven accumulation. If the modules are lightly soiled across the entire surface, the plant’s overall power output tends to decline gradually, whereas if heavy soiling is limited to specific panels or particular rows, it is more likely to appear as a localized power reduction. Conditions such as mud accumulated at the lower edge, deposits near the frame, rows facing a particular direction having heavier dust, or dirt that remains after rain are points to check together with the layout and surrounding environment.


You should also correlate periods of reduced power generation with how shadows appear. If output is low only in the morning, only in the afternoon, or shows a pronounced decline seasonally, nearby buildings, trees, utility poles, fences, differences in racking elevation, or shading from adjacent rows may be involved. When a shadow falls on part of a panel, even if it appears that only that panel’s output is reduced, the connection configuration can affect the output of the entire string.


The appearance of degradation is also important. When there is surface discoloration, cracked glass, uneven cell coloration, changes in the encapsulant, abnormalities around the frame, burn-like marks, or unusual signs around the junction box, carefully assess their relationship to reduced power output. However, you cannot determine electrical abnormalities from appearance alone. Visible defects do not necessarily mean output is low, and even if there are no visible problems, internal degradation may have progressed. It is safest to treat visual inspection as a clue for proceeding to measurements and review of historical data.


If only some panels are in a different condition, you need to be careful about how you take photos. Capture an overall view of the string with low power output, a close-up of the affected panel, the surrounding environment, the direction of shadows, the extent of soiling, and images that show row numbers and positional relationships so you can more easily correlate them with generation data later. Photos that don’t make the location clear are difficult to use as documentation for a cause investigation.


It is also useful to check how power-generation trends change before and after cleaning or mowing. If soiling or grass shading is the cause, the generation gap may narrow after countermeasures. Conversely, if a specific string still shows reduced output after cleaning or mowing, you should investigate other factors such as degradation of the panels themselves, connections, replacement history, or the measurement system. If you carry out work without keeping before-and-after records, you won't know what produced the improvement, so set a comparison period in advance.


Sign 3: The power generation trend has changed since replacement or expansion

The third sign is a change in power output trends after panel replacements, partial repairs, expansions, wiring changes, equipment upgrades, or similar work. When investigating the cause of low power generation, the work history is easy to overlook if you only look at the current condition. Even if there were no problems at the start of operation, if some panels were replaced after a typhoon, airborne debris, lightning, snow accumulation, damage, or aging, the replaced sections may have specifications or conditions that differ from the surrounding panels.


When replacing panels, you may not always be able to obtain units with exactly the same specifications as the originals. If panels with different nominal output, operating voltage, operating current, temperature characteristics, size, or cell configuration are mixed, their behavior may not match that of surrounding panels depending on the connection conditions. In particular, if panels with differing characteristics are included in a series string, those differences can affect the power-generation tendency of the entire string. The replacement itself is not necessarily a problem; what is important is to verify the connection conditions and generation data after the replacement.


Similar precautions are necessary for expansions or layout changes. When adding new panels to existing equipment, the existing panels have already been operated for a certain period and their degradation state differs from that of the new panels. Furthermore, if the installation azimuth, tilt, racking height, or surrounding shading conditions differ, the power generation characteristics can be difficult to align even within the same plant. Rather than looking only at the fact that power output is lower, checking from what point the trend changed makes it easier to identify a relationship with replacements or expansions.


When checking records, confirm the work date, scope of work, number of panels replaced, strings connected, reason for replacement, before-and-after photos, and whether the connection diagram was updated. Even if no records remain, you may be able to estimate the replacement scope on site by inspecting the panels’ appearance and labels, installation locations, marks on the mounting structure, and the routing of the wiring. However, any label checks or electrical verifications must be carried out under safety management by authorized personnel. Avoid touching energized parts or connection points carelessly, and consult a specialist as needed.


When looking at changes in generation trends, it is ideal to compare the same season and the same weather conditions before and after the replacement. Because solar power generation changes with seasonal variations in solar irradiance and solar altitude, simply comparing last month with this month can make judgment difficult. Comparing data from the same month of the previous year, days with similar levels of sunshine, and the same time of day makes it easier to determine whether only specific strings have decreased after the replacement, or whether the entire system is varying in the same way.


If you suspect a post-replacement panel mismatch, focusing only on the panels' nominal output is insufficient. Even when nominal outputs are similar, the operating-voltage and operating-current characteristics can differ. Also, if existing panels have been in service for many years, there will be differences in actual output between new or good-condition replacement panels and the existing panels. How much these differences affect energy production depends on the connection configuration and the input conditions of the power conditioner, so it is necessary to verify by combining the specifications, wiring diagrams, and measured values.


When the appearance of generated power changes after an expansion, also pay attention to changes in measurement units. If the display unit on the monitoring screen has changed, the aggregation target has increased, the name of the input circuit has changed, or the data acquisition conditions have changed, the comparison conditions on the display may have changed rather than an actual drop in generation. Before suspecting panel mismatch, confirm which range of generation you are looking at and whether you are comparing using the same units as before.


Sign 4: Difficulty explaining the connection between measurements and on-site layout

The fourth sign is that the link between measurements and the on-site layout is hard to explain. Even if you know which string has low power output, if you can't tell which row or range of panels on-site that string corresponds to, it becomes difficult to proceed with a root-cause investigation. Even when monitoring data shows input numbers or circuit names, if these do not match the on-site panel layout or wiring diagrams, you cannot determine where to inspect in practice.


When investigating a drop in power generation, it is important to link the location of the decrease shown in the data to the actual site. Even if the monitoring screen shows a particular input is low, if it is unknown which string that input is connected to, which column and how many modules it includes, or whether wiring changes were made along the way, the scope of on-site verification expands. As a result, there is a risk of inspecting panels that are not faulty or overlooking areas that should be checked.


This sign is more likely to appear on equipment that has been in operation for a long time, on equipment that has undergone multiple repairs, or on equipment where the management company or the person in charge has changed. When the original drawings do not match the current conditions, the rules for string-number notation changed midway, site labels are hard to read, or the markings on junction boxes or combiner boxes have not been updated, isolating a decline in power generation takes extra time. Even if you suspect panel mismatches, you should first verify which data corresponds to which on-site location.


If measured values cannot be linked to the layout, panel mismatches are easy to overlook. If a string with low power output includes replacement panels but the drawings do not reflect the replacement history, it will be less likely to be identified as a potential cause. Conversely, even if replacement panels are found on site, if it is unclear which measurements they correspond to, you cannot determine their relationship to the drop in power output. If the correspondence between the numbers and the field remains ambiguous, the investigation results will also be ambiguous.


To prevent this problem, it is important to make the site layout drawings, string diagrams, junction box markings, and names on monitoring screens as consistent as possible. Even if names are not completely standardized, having a cross-reference table will make investigations easier. Include identifiable information such as row numbers, string numbers, and input numbers on photos taken at the site so they can be checked later. When investigating areas with low power output, a key practical point is not to stop at looking at the data, but to ensure you can trace it back to the actual field location.


Be careful about how you interpret measurement values. Readings from meters and monitoring devices can represent different things—instantaneous values, averages over a given period, daily cumulative values, or monthly cumulative values. Looking only at instantaneous values makes them susceptible to temporary clouds or shadows. With daily cumulative values, reductions during certain times of day can be difficult to see. If you compare values without understanding which type you are looking at, you may mistakenly identify a mismatch when there is none.


Also, low measurements do not necessarily mean the panels are at fault. Readings can be affected by non-panel factors such as terminals inside the junction box, cables, connectors, protective devices, measuring instruments, communication status, and input control on the power conditioner. When measured values and the on-site configuration do not match, do not rush to assign a cause; first reconcile the measurement system with the on-site information.


Checks to perform to isolate the issue before suspecting a panel mismatch

When power output is low, panel mismatch is one important candidate to check, but narrowing in on it from the outset can lead to oversights. Solar PV output is heavily influenced by irradiance and weather. Natural conditions alone—cloudiness, rain, yellow dust, snowfall, dense fog, or temperature changes—can cause output to fluctuate. First, confirm whether the weather conditions for the period you are comparing are reasonable, and check whether they differ significantly from the same period in the past or from trends at nearby installations.


Next, you should check whether the drop is across the entire facility or only in part. If the whole system is uniformly low, factors such as solar irradiation conditions, output control, power outages, power conditioner shutdowns, or missing measurement data may be involved. On the other hand, if only certain inputs, certain strings, or certain areas are low, localized shading, soiling, wiring issues, or panel mismatch are more likely suspects. Simply distinguishing between a system-wide drop and a partial drop can greatly change the direction of the investigation.


Checking the condition of the power conditioner is also essential. If there are shutdowns, warning indications, output curtailment due to temperature rise, input abnormalities, or communication failures, the generated output can appear low even when there is no problem on the panel side. Even if the monitoring screen shows low generation, the actual cause can be the equipment condition or data acquisition issues. Check the fault history, shutdown history, recovery time, and the presence or absence of warning indications to determine whether the drop in generation is caused by the panels or by the equipment.


Output control and grid-side constraints should also be checked. For some installations, even when conditions for power generation are met, output may be curtailed due to grid-side circumstances or control conditions. In such cases, even if the panels or strings show no abnormalities, the power output will be lower than expected. Although the power output may appear abnormal when viewed in isolation, it can often be explained by cross-referencing the control history.


Dirt and shadows from vegetation can also appear similar to panel mismatch. If soiling is heavier only in a specific area, or if overgrown grass casts shadows on some panels, the power output may be locally reduced. This condition, in a broad sense, is a mismatch in generation conditions between panels, but the cause is not differences in panel specifications—it is a maintenance issue. Because it can potentially be improved by cleaning, mowing, or checking nearby obstructions, inspect the site environment before proceeding to replacement or detailed measurements.


Don't forget wiring and connection issues. Poor connector contact, cable damage, abnormalities inside the junction box, operation of protective devices, loose terminals, and the like can cause only certain strings to show low output or to stop. These are problems separate from panel mismatch, but they can appear as similar declines in monitoring data. Electrical checks involve safety risks, so it is realistic to narrow the investigation scope based on visual inspection and historical records, on the assumption that a qualified person with the necessary procedures will conduct the electrical verification.


Missing measurement data and display errors are also points to check. If communications are interrupted and some data are missing, the timing for obtaining cumulative values is misaligned, the names on the monitoring screen differ from the actual connections, or stoppages during maintenance are being aggregated as reduced power generation, the power output may appear low even when there is no abnormality on site. When you receive an inquiry that power generation is low, first verify the reliability of the data and determine whether the values are usable for decision-making.


After performing these isolations, if differences persist between strings under the same conditions, some on-site panels show differing states, and this aligns with replacement history and layout information, the likelihood of panel mismatch increases. Conversely, if the discrepancies can be explained by weather, shutdown history, output control, or measurement conditions, you should not fixate on panel mismatch and should prioritize responses according to the identified cause.


Information to Record at the Site and Approaches for Preventing Recurrence

Daily records play a major role in distinguishing decreases in power generation caused by panel mismatch. If you only begin collecting on-site information after noticing low output, you may not know past conditions and making a diagnosis can take time. Without knowing when the decline started, after which work the trend changed, or which areas were affected by dirt or shading, it becomes difficult to narrow down the cause. To prevent recurrence, it is important to continuously record on-site conditions as well as generation data.


The central information to record is power generation, string-level trends, site photos, work history, and layout information. Power generation should be checked not only on a daily and monthly basis but, if possible, for time-of-day trends as well, since this makes it easier to judge the effects of shading and temperature. Site photos should capture not only overall views but also the rows in areas where a decline is suspected, panel surfaces, nearby obstructions, vegetation, soiling, and how shadows fall. Work history should record cleaning, grass cutting, inspections, replacements, wiring checks, equipment upgrades, and so on, with dates and the scope.


Updating layout information is also important. When panels are replaced or wiring is changed, drawings and management tables may not be updated even if the work has been completed on site. If this situation continues, it can become unclear which panel belongs to which string when power generation declines later. Record the location of replaced panels, their connection destinations, differences in specifications, and the reasons for the work, and keep them in a state that can be cross-referenced with the names in the monitoring data to shorten the time required for the next inspection.


From the perspective of preventing recurrence, it is also important to clarify the decision criteria for replacing panels. Rather than simply selecting panels that can be installed, you should verify electrical compatibility with the existing panels, the connection configuration, installation conditions, and the ease of future management. If panels with different specifications are used, record where they were used, why they were selected, and what impact on power generation trends can be expected, as this will make it easier to assess potential mismatches later.


Routine maintenance such as cleaning and mowing also helps prevent panel mismatch. If dirt or shade is left on only part of the array, panels with the same specifications can end up operating under different generation conditions. If certain rows tend to accumulate dirt, for rainwater to flow in, for grass to grow more, or for leaves to collect, it is effective to treat those areas as priority management zones rather than simply inspecting the entire installation at the same frequency.


Site records should be prepared so they can be understood even if the person in charge changes. Management that relies on the memory of the person in charge will lose information each time staff are transferred or contractors are changed. Simply storing photos, drawings, inspection notes, and generation data separately may make it impossible to link them when needed. When you find an area with low power generation, it is desirable to organize the materials so that the data input number, the row number on site, the photos, and the work history can be checked in the same workflow.


Also, sharing a decision flow for when abnormalities are detected helps stabilize the initial response. Instead of heading to the site based only on a report of low power generation, first determine whether the drop is system-wide or partial, check the shutdown history and the weather, look at differences between strings, cross-check with the site layout, and then proceed to a visual inspection — deciding on this sequence reduces variability in judgments among personnel. Panel mismatches are difficult to judge from numbers alone or from appearance alone, so standardizing the order of checks is effective.


What you want to avoid in preventing recurrence is implementing countermeasures while the cause remains unclear and failing to verify whether they were effective. After performing cleaning, mowing, replacements, wiring checks, etc., compare how the generation trend changed before and after. If an improvement is observed, record which measure was effective. If no improvement is seen, reconsider other possible causes. By repeating this process, the weaknesses specific to each power plant become apparent, and future responses will be faster.


Summary: Judge declines in power generation by linking the numbers with on-site conditions

To distinguish between a drop in power output and panel mismatch, it is important not to judge solely by the power output numbers. Four signs that should prompt suspicion of panel mismatch are: persistent generation differences between strings under the same conditions; only some panels showing different appearances of soiling, shading, or degradation; a change in generation trends after replacement or system expansion; and difficulty explaining the connection between measured values and the on-site layout. However, rather than concluding the cause from any single sign, it is important to confirm whether multiple pieces of information point in the same direction.


In practice, behind the symptom of low power generation there can be various hidden factors: weather, output control, equipment shutdowns, communication failures, dirt, shading, vegetation, wiring, connections, and replacement history. Panel mismatch is one of these, and in a cause investigation you need to distinguish between an overall drop and a partial drop, standardize the comparison conditions, and make judgments while cross-checking the site layout with generation data. If only a specific string continues to be low and this aligns with on-site condition differences and replacement history, it is worth proceeding to a detailed inspection that includes panel mismatch.


On the other hand, treating all declines in power generation as a panel problem can lead to unnecessary replacements and misguided inspections. First confirm solar irradiation conditions, shutdown history, output control, data gaps, and differences in measurement units, and only then pursue localized declines—this is an efficient and safe way to proceed. Understanding the conditions at each plant, comparing like-for-like conditions, and verifying the link between the numbers and the field will improve the accuracy of identifying the cause.


To quickly detect low power generation and accurately narrow down the cause, daily record-keeping and organizing on-site information are indispensable. If you link and manage generation trends for each string, site photos, replacement histories, layout diagrams, and inspection results, the initial response during anomalies will be faster. Creating a state where you can check not only generation data but also what is happening and where on a per-site basis helps prevent overlooking drops in power generation.


If you want to streamline verification of power output declines and panel mismatches, it is effective to establish a system that integrates on-site records, inspection results, location data, photos, and generation status. Rather than having to search again later for information gathered in the field, being able to grasp where in the plant and what kind of changes are occurring makes it easier to reduce the burden of root-cause investigations and report preparation. Establishing a management framework that allows you to link numerical data with on-site information for verification is a practical measure against declines in power generation.


Next Steps:
Explore LRTK Products & Workflows

LRTK helps professionals capture absolute coordinates, create georeferenced point clouds, and streamline surveying and construction workflows. Explore the products below, or contact us for a demo, pricing, or implementation support.

LRTK supercharges field accuracy and efficiency

The LRTK series delivers high-precision GNSS positioning for construction, civil engineering, and surveying, enabling significant reductions in work time and major gains in productivity. It makes it easy to handle everything from design surveys and point-cloud scanning to AR, 3D construction, as-built management, and infrastructure inspection.

bottom of page