PV Soil Monitoring Portal

The PV Soil Monitoring Portal provides users with up-to-date data analysis and forecasts calculated from regular, on-site measurements taken from the Pattern Soiling Pod.


Highlights and easy to understand graphics, including:
  • Cost of soiling loss vs cost of cleaning
  • % of soiling loss per station
  • Time to next clean
  • Year to date totals
  • 7-day weather forecasts


The Clean Cycle Calendar keeps system operators up to date with forecasted cleaning events.

  • Recommended Manual cleaning dates
  • Financial Gains from Manual cleaning events
  • Rainfall Clean Events based-on local 7 day and 30 day weather forecasts
  • Soiling loss forecasts based-on measured soiling losses

Station Overview

The Station Overview includes a map of the PV system detailing the specific location of each soil monitoring station within the PV system and associated PV arrays.

Status indicators ensure the health of the remote hardware:

  • Communications network (Connected / Not Connected)
  • Reference Cell cover (Open / Close)
  • Battery (Full Charge / Low Charge)

Detailed Soiling Analysis

Cell-level soiling losses provide cell level accuracy while revealing panel and array level losses.

  • Panel / Array-level soiling patterns and associated losses
  • Hot spot formation and prevention methods
  • Optimal cleaning techniques
  • Cell-level normalization minimizes calibration errors
  • Non-uniform soiling losses due to bypass diodes
  • Redundant measurements improve reliability


Configure automated alarms to manage soiling losses and plan optimal cleaning schedules.

  • Cost of Soiling
  • Soiling Loss %
  • Amount of Energy Lost to Soiling


Automated report templates provide detailed analysis of financial gains / losses resulting from a specified clean cycle. Users can download and send automated reports.
  • PDF output reports with detailed soiling analysis
  • Number of Manual Clean events and financial gains
  • Average soiling losses
  • Rainfall clean events
  • Detailed charts reveal No Clean vs Clean losses
  • CSV files provide data for validation and further analysis