OpenOA: An Open-Source Codebase for Operational Analysis of Wind Farms: Article No. 2171

Jordan Perr-Sauer; Mike Optis; Jason Fields; Nicola Bodini; Joseph Lee; Austin Todd; Eric Simley; Robert Hammond; Caleb Phillips; Monte Lunacek; Travis Kemper; Lindy Williams; Anna Craig; Nathan Agarwal; Shawn Sheng; John Meissner

doi:10.21105/joss.02171

OpenOA: An Open-Source Codebase for Operational Analysis of Wind Farms: Article No. 2171

Jordan Perr-Sauer, Mike Optis, Jason Fields, Nicola Bodini, Joseph Lee, Austin Todd, Eric Simley, Robert Hammond, Caleb Phillips, Monte Lunacek, Travis Kemper, Lindy Williams, Anna Craig, Nathan Agarwal, Shawn Sheng, John Meissner

National Renewable Energy Laboratory

Research output: Contribution to journal › Article › peer-review

Abstract

OpenOA is an open source framework for operational data analysis of wind energy plants, implemented in the Python programming language (Van Rossum & Drake, 2009). 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.

Original language	American English
Number of pages	3
Journal	Journal of Open Source Software
Volume	6
Issue number	58
DOIs	https://doi.org/10.21105/joss.02171
State	Published - 2021

NREL Publication Number

NREL/JA-2C00-75851

Keywords

data analysis
data science
operational analysis
python
standardization
wind energy

Access to Document

10.21105/joss.02171

https://www.nrel.gov/docs/fy21osti/75851.pdf

Cite this

Perr-Sauer, J., Optis, M., Fields, J., Bodini, N., Lee, J., Todd, A., Simley, E., Hammond, R., Phillips, C., Lunacek, M., Kemper, T., Williams, L., Craig, A., Agarwal, N., Sheng, S., & Meissner, J. (2021). OpenOA: An Open-Source Codebase for Operational Analysis of Wind Farms: Article No. 2171. Journal of Open Source Software, 6(58). https://doi.org/10.21105/joss.02171

@article{fee10e9320d34a42a4477fd1a0d50d5c,

title = "OpenOA: An Open-Source Codebase for Operational Analysis of Wind Farms: Article No. 2171",

abstract = "OpenOA is an open source framework for operational data analysis of wind energy plants, implemented in the Python programming language (Van Rossum & Drake, 2009). 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{\textquoteright}s La Haute Borne Dataset.",

keywords = "data analysis, data science, operational analysis, python, standardization, wind energy",

author = "Jordan Perr-Sauer and Mike Optis and Jason Fields and Nicola Bodini and Joseph Lee and Austin Todd and Eric Simley and Robert Hammond and Caleb Phillips and Monte Lunacek and Travis Kemper and Lindy Williams and Anna Craig and Nathan Agarwal and Shawn Sheng and John Meissner",

year = "2021",

doi = "10.21105/joss.02171",

language = "American English",

volume = "6",

journal = "Journal of Open Source Software",

issn = "2475-9066",

publisher = "Open Journals",

number = "58",

}

TY - JOUR

T1 - OpenOA: An Open-Source Codebase for Operational Analysis of Wind Farms

T2 - Article No. 2171

AU - Perr-Sauer, Jordan

AU - Optis, Mike

AU - Fields, Jason

AU - Bodini, Nicola

AU - Lee, Joseph

AU - Todd, Austin

AU - Simley, Eric

AU - Hammond, Robert

AU - Phillips, Caleb

AU - Lunacek, Monte

AU - Kemper, Travis

AU - Williams, Lindy

AU - Craig, Anna

AU - Agarwal, Nathan

AU - Sheng, Shawn

AU - Meissner, John

PY - 2021

Y1 - 2021

N2 - OpenOA is an open source framework for operational data analysis of wind energy plants, implemented in the Python programming language (Van Rossum & Drake, 2009). 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.

AB - OpenOA is an open source framework for operational data analysis of wind energy plants, implemented in the Python programming language (Van Rossum & Drake, 2009). 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.

KW - data analysis

KW - data science

KW - operational analysis

KW - python

KW - standardization

KW - wind energy

U2 - 10.21105/joss.02171

DO - 10.21105/joss.02171

M3 - Article

SN - 2475-9066

VL - 6

JO - Journal of Open Source Software

JF - Journal of Open Source Software

IS - 58

ER -

OpenOA: An Open-Source Codebase for Operational Analysis of Wind Farms: Article No. 2171

Abstract

NREL Publication Number

Keywords

Access to Document

Fingerprint

Cite this