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    • Photovoltaic
      • Residential & Commercial
      • Qcells Usa
      • Enphase energy
      • Canadian Solar
      • Solar Services Plans
    • Battery Backup systems
      • FranklinWH
      • Enphase Battery
      • LG Chem
      • Solarege
    • Services and Repair
      • Transformers installation
      • Natural Gas Generators
      • Inverter replacement
      • Hybrid systems
      • PV Performance tests
    • Home Improvements
      • MSP Upgrade
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      • Enphase EV charger
    • Contact
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  • Home
  • Photovoltaic
    • Residential & Commercial
    • Qcells Usa
    • Enphase energy
    • Canadian Solar
    • Solar Services Plans
  • Battery Backup systems
    • FranklinWH
    • Enphase Battery
    • LG Chem
    • Solarege
  • Services and Repair
    • Transformers installation
    • Natural Gas Generators
    • Inverter replacement
    • Hybrid systems
    • PV Performance tests
  • Home Improvements
    • MSP Upgrade
    • Tesla EV charger
    • Enphase EV charger
  • Contact
  • Contact

PV Performance Tests

Performance Test Protocol for Evaluating

System diagnosis


Through the evaluation of your solar modules, optimizers or inverters we can identify any problems that affect their performance.

Accurate determination of photovoltaic (PV) module performance requires accurate measurement of a module's current voltage (I-V) curve under controlled conditions.

Performance testing is often critical to demonstrating that the system is working as expected. We work with you from project launch to final performance test verification.

Performance ratings of PV modules are measured under standard test conditions (STC) of 1,000 

W/m2 of sunlight and 25°C cell temperature. In practice, however, the intensity of sunlight is 

usually less than 1,000 W/m2, and the cell temperature is typically hotter than 25°C. 

Additionally, once PV systems are deployed, several factors can impact their expected 

production (electric energy generated), including solar resource, temperature, and degradation 

due to the age of the system. Although the solar resource is variable, most of the variability is 

predictable based on time of day, time of year, and the angle that sunlight hits the PV module 

surface. In fact, the solar resource would be perfectly predictable based on clear-sky models if 

not for clouds, which are not as predictable.

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