Solar Energy / SMP100
SMP100 Solar-Module Performance Monitoring System
In-Field Soiling Measurement for Operational and Site Assessments
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In response to the increased amount of attention paid to operational assessment of PV power plants, Campbell Scientific has redesigned the popular SMP100 Solar Module Performance system. The SMP100, originally designed for maximum power point measurements of non-inverter tied PV modules, now offers the instrumentation and methodology required for accurate measurement of PV module soiling, defined as the decrease in production as a result of the accumulation of contaminants on the surface of the PV module. Literature review of the effects of soiling on module performance indicates that empirical soiling losses on the order of 5 to 30% are common on solar utilities throughout the United States, particularly in the Southwest. The SMP100 provides O&M decision makers with the information needed to evaluate the financial impact of soiling on their PV modules.

The SMP100 is available as a stand-alone measurement peripheral that can be added to any Campbell Scientific-based meteorological station or as a complete system that also includes irradiance and other pertinent measurement devices. The SMP100 joins Campbell Scientific's extensive line of high-quality, customizable, turn-key measurement solutions for solar and other renewable energy applications. Campbell Scientific renewable energy measurement systems are designed with the understanding of the importance of total measurement system uncertainty and the implications on long-term operations and maintenance. Campbell Scientific measurement solutions provide PV performance engineers with the data needed to both validate performance models and determine real world energy yield.


Most of the systems we sell are customized. These systems, however, typically measure the following parameters:

  • PV module soiling
  • Soiling rate
  • Short circuit current
  • Open circuit voltage
  • Irradiance
  • Back of module temperature
  • Air temperature
  • Relative humidity
  • Precipitation
  • Wind speed
  • Surface wetness
  • Solar position (calculated value)