PCWG-Share-3

Jupyter notebook and Python code for post processing of PCWG-Share-03

Requirements

Python 3; specific libraries are listed in requirements.txt

Input files

• Excel files from the PCWG analysis tool (to be converted to pkl files in the code)
• pdm_example.xls: input file for plotting a power deviation matrix as an example

Components

• demo notebook: generates plots in the manuscript, and
  additional plots for reference
• pcwg03_config: lists strings/constants used in other code that are not supposed to change frequently
  • data_file_path - requires user input, the file path containing the Excel files generated from the PCWG analysis tool
  • save_fig - requires user input, determines whether the code outputs figures as png/pdf files or not
• pcwg03_convert_df: converts data in Excel file into Pandas data frames
• pcwg03_energy_fraction: calculates energy fractions from data counts and error values
• pcwg03_initialize: sets up the analysis environment
• pcwg03_plot: contains all the plotting functions
• pcwg03_read_data: reads in Excel data
• pcwg03_slice_df: contains all the data analysis and statistics functions

How To Use This Code

Follow the demo Jupyter notebook

Project Contributors

• Joseph C. Y. Lee, NREL
• Peter Stuart, RES
• Andrew Clifton, Stuttgart Wind Energy
• M. Jason Fields, NREL
• Jordan Perr-Sauer, NREL
• Lindy Williams, NREL
• Lee Cameron, RES
• Taylor Geer, DNV GL
• Paul Housley, SSE plc