OpenOA: An Open-Source Codebase For Operational Analysis of Wind Farms

OpenOA is an open source framework for operational data analysis of wind energy plants, implemented in the Python programming language. OpenOA provides a common data model, high level analysis workflows, and low-level convenience functions that engineers, analysts, and researchers in the wind energy...

Full description

Saved in:
Bibliographic Details
Published inJournal of open source software Vol. 6; no. 58; p. 2171
Main Authors Perr-Sauer, Jordan, Optis, Mike, Fields, Jason, Bodini, Nicola, Lee, Joseph, Todd, Austin, Simley, Eric, Hammond, Robert, Phillips, Caleb, Lunacek, Monte, Kemper, Travis, Williams, Lindy, Craig, Anna, Agarwal, Nathan, Sheng, Shawn, Meissner, John
Format Journal Article
LanguageEnglish
Published United States Open Source Initiative - NumFOCUS 26.02.2021
Subjects
data analysis
data science
MATHEMATICS AND COMPUTING
operational analysis
python
standardization
WIND ENERGY
Online AccessGet full text

Cover

More Information
Summary:OpenOA is an open source framework for operational data analysis of wind energy plants, implemented in the Python programming language. OpenOA provides a common data model, high level analysis workflows, and low-level convenience functions that engineers, analysts, and researchers in the wind energy industry can use to facilitate analytics workflows on operational data sets. OpenOA contains documentation, worked out examples in Jupyter notebooks, and a corresponding example dataset from the Engie Renewable’s La Haute Borne Dataset.
Bibliography:USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
NREL/JA-2C00-75851
AC36-08GO28308
ISSN:2475-9066
2475-9066
DOI:10.21105/joss.02171