Solar Plant Underperformance: A Diagnostic Sequence

Utility solar arrays, battery energy storage, transformer and grid interconnection equipment.
Procurement guide5 min readGTP Solar

“The plant is not producing what it should” is the most common complaint in solar operations and the least specific. Sometimes it is a genuine fault. Often it is a benchmark problem: the expectation was set from the module nameplate rather than from a realistic model, and no amount of field work will close a gap that was never real.

This is the sequence we would work through, ordered deliberately – cheapest and most likely causes first, invasive testing last.

Establish the benchmark before touching anything

A system never delivers its STC nameplate in the field. Realistic models carry system losses – typically in the range of fifteen to twenty-five per cent – covering thermal derating, cabling, inverter efficiency, soiling, mismatch and availability. Seasonal variation alone can put winter output tens of per cent below summer in many climates.

Use an independent yield reference for the location (PVGIS is the common one in Europe; equivalents exist elsewhere) or the original design model, and compare twelve months of generation against it. A plant delivering roughly 80 to 100 per cent of a well-constructed reference is performing normally. Below about 75-80 per cent, the investigation is worth the labour. Above it, the problem is usually the expectation.

Soiling and new shading

Contamination is the most common genuine cause and the cheapest to fix. Dust, pollen, bird droppings and industrial film typically cost somewhere between five and twenty-five per cent depending on the environment, and considerably more in arid regions or near construction and industrial sources. Note that oily industrial film behaves differently from loose dust and needs a different cleaning method.

Shading is the other half of this step, and it changes over a plant’s life: trees grow, adjacent buildings go up, and equipment gets added to roofs. The signature is output collapsing at the same clock time each day. Worth noting that a small shadow on one module can cost far more than its area suggests, because in a string the affected module limits the current of the whole string.

Compare strings before you compare to the model

String-level monitoring turns a vague complaint into a location. On a clear day, strings on the same MPPT input should show similar current. If one reads near zero, the cause is usually discrete: a blown fuse, an open circuit, a disconnected or reversed conductor. If one reads consistently low but not zero, suspect mismatch, shading or a module fault.

Field experience puts module-side issues behind the majority of generation loss, with inverter and electrical faults a distant second. That ratio is a good argument for spending the first hour on the array rather than on the inverter.

Understand which inverter behaviour you are seeing

Three inverter behaviours look similar on a dashboard and mean completely different things:

  • Clipping – the array can produce more DC power than the inverter can convert, so output flattens at the inverter’s AC rating on the best days. This is usually a deliberate design choice and already priced into the model. It is only a fault if the model assumed it was not happening.
  • Thermal derating – output falls during hot afternoons because the unit is protecting itself. Usually a siting and ventilation problem, not a defect. Check the derating curve against actual mounting conditions.
  • Export limiting – the plant is being curtailed because the network will not accept more export at that moment. The plant is healthy; the constraint is external, and it should show as a plateau on sunny low-load days.
Utility-scale photovoltaic plant with grid interconnection — where underperformance usually becomes visible.
Utility-scale photovoltaic plant with grid interconnection — where underperformance usually becomes visible.

Thermal loss and voltage rise

Heat is not a fault, but it is worth quantifying properly: modules lose roughly a third of a percent of output per degree above the rating point, and the exact figure depends on the cell technology – one reason we treat the temperature coefficient as a procurement specification in the module technology guide. Peak summer output landing ten to fifteen per cent below nameplate is normal and should be in the model.

Voltage rise is the other thermal-adjacent trap: long or undersized AC runs, or many inverters concentrated at one connection point, push the voltage toward the upper limit and the inverter reduces power in response. If the plant dips exactly when it should peak, check the cable sizing and the connection arrangement.

Mismatch inside the array

Strings sharing an MPPT input should share orientation and tilt. Mixing roof faces, or mixing module types or ages on one input, means the stronger strings are pulled down toward the weakest. This is a design-stage error, but it is discovered in operations, and it is worth checking whenever a plant has been extended or partially repaired.

When it really is a component defect

If the above checks are clean and the shortfall persists, move to component-level testing. Infrared scanning finds hot spots and failed bypass diodes quickly; I-V curve tracing quantifies how far a string has drifted from its expected curve; electroluminescence imaging reveals cell cracking and, in older plants, potential-induced degradation. These are the tests that convert a suspicion into a warranty claim, so capture the data in a form the manufacturer will accept.

Symptom-to-cause reference

Reference table

Swipe horizontally to view all columns →

SymptomLikely causeFirst check
Whole plant low all yearBenchmark error or design assumptionCompare to independent yield reference
Gradual decline, no step changeSoiling or seasonal growth of shadeVisual inspection, cleaning trial
One string near zeroFuse, open circuit, reversed polarityString current comparison at midday
Flat top on sunny daysClipping or export limitingAC power curve vs inverter rating
Afternoon-only dipThermal derating or voltage riseEnclosure temperature, AC voltage log
Dip at same clock time dailyNew shading objectSite walk at that time
One module hot in IRCell or bypass diode faultInfrared scan, then I-V trace

Preventing it upstream

Most of the causes above are designed in rather than developed later – and several are caught by the pre-energisation tests in our commissioning checklist, particularly string polarity and voltage verification. The monitoring specification matters too: without string-level data, none of the diagnosis above can be done from a desk. See the monitoring requirements in the inverter and grid connection guide, and the equipment covered on the inverters and controllers page. For diagnostic support on a live plant, use the contact page.

BUYER CHECKLIST

Buyer considerations for this scope

What baseline is the output being compared against?

A modelled expectation is only meaningful if there is measured irradiance on site. Comparing inverter output with a model that used satellite irradiance will misattribute weather to equipment, which is how a soiling problem gets reported as a module defect.

What data is needed before a diagnosis means anything?

Per-string current and voltage, inverter logs, a thermal scan, soiling and cleaning records, irradiance, and module temperature. Without string-level data the fault cannot be located, only suspected.

Is it an equipment issue or a design and site issue?

Soiling, shading, thermal mismatch and string mismatch are separated out first, because they are site and design causes that no warranty covers. Only what remains after that separation is an equipment question.

PRACTICAL ANSWERS

Questions buyers ask about this

How do we know whether the plant is actually underperforming?

Compare measured output against the modelled expectation for the same irradiance and temperature, not against nameplate capacity. Nameplate is a laboratory figure; the model is what the plant was designed to deliver.

What is checked first?

Soiling and new shading, because they are cheap to confirm and common. Then string-level current comparison, because a string that reads low against its neighbours localises the fault to a small part of the array.

Can inverter clipping look like a fault?

Yes. On a high DC-to-AC ratio design the inverter limits output on the best days by design. Reading that as a fault leads to replacing equipment that is behaving exactly as specified.

What records make a diagnosis fast?

Commissioning baseline data, string-level monitoring, and the serial-to-position map. Without a baseline there is nothing to compare against and every check becomes a site visit.

EXPLORE FURTHER

Related technical guides.

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