PVA Data Analysis Tool

I-V data analysis and reporting

PVA Data Analysis Tool

Free Download:

DAT ver 5.2 for PVA-600+/1000/1500

DAT ver 3.4 for PVA-600

The Data Analysis Tool (DAT) is an Microsoft Excel™ based tool that automates the analysis of large blocks of PV Analyzer I-V curve measurement data. Results of the analysis are displayed in many different formats. A string table lists the key PV parameters for each string, flags any strings that do not conform to your test limits, and provides a statistical summary of all strings in the array. String I-V curves are combined on common charts at the combiner box level, graphically showing the consistency of the results and identifying any non-typical strings. The tool also provides histograms for each of the PV parameters for the entire string population of the array. The tables and data can be added to a customizable report that can be exported as a PDF.

The Data Analysis Tool (DAT) can be downloaded for free use with any PV Analyzer. Click the link to the left to download.

Requires Microsoft Excel&trade 365 for PVA-600+/1000/1500 version or Excel 2010 or later for PVA-600 version.

New in version 5.2:

  • Enables pagination of string data columns in report.

New in version 5.1:

  • Fixes bug in checkboxes at top of Table sheet.

New in version 5.0:

  • Significant new features and user interfaces, including the following:
  • Option to compare string values to combiner averages
  • New easy to read table format
  • Ability to filter table data based on levels in the array tree
  • Ability to select which columns of table data to include in report
  • Ability to set limits on table data based on absolute thresholds or % relative to mean
  • Option to include module model #(s) and PVA serial number(s)
  • Requires Excel 365

New in version 4.6:

  • Fixes "compiler" error on launch

New in version 4.5:

  • Fixes some graphical issues

New in version 4.4:

  • Runs faster
  • Data from multiple PVA projects can be merged into a single analysis file and report
  • Populations of I-V curves can be normalized in order to highlight differences in curves without the variations from irradiance or temperature
  • I-V curves can be translated to STC, average, or other conditions
  • You can now assign a custom project title
  • Array tree locations for strings are more concise
  • I-V plot legends can be turned on/off
  • 4th order MPP fit can be turned on/off
  • Degradation in performance factor can be modeled based on annual degradation
  • Miscellaneous bug fixes