Preprints
https://doi.org/10.5194/wes-2019-12
https://doi.org/10.5194/wes-2019-12
02 Apr 2019
 | 02 Apr 2019
Status: this preprint has been withdrawn by the authors.

OpenOA: An Open-Source Code Base for Operational Analysis of Wind Power Plants

Mike Optis, Jordan Perr-Sauer, Caleb Philips, Anna E. Craig, Joseph C. Y. Lee, Travis Kemper, Shuangwen Sheng, Eric Simley, Lindy Williams, Monte Lunacek, John Meissner, and M. Jason Fields

Abstract. As global wind capacity continues to grow, the need for accurate operational analyses of a rapidly growing fleet of wind power plants has increased in proportion. The wind energy industry at present, however, is not ideally positioned to address this need. First, there is a lack of best practices and limited published standards for performing operational analyses. Second, operational data and methods are typically proprietary and not shared among the wind energy community. Consequently, there is considerable duplication of effort in developing methods as well as uncertainty in the calculated metrics. To address these problems, the National Renewable Energy Laboratory has publicly released OpenOA, an open-source code base for performing operational analyses on wind plant data. The intent of OpenOA is to provide a framework in which best practices can be developed, refined, and disseminated. Ultimately, such collaboration is expected to lead to a working example (i.e. reference implementation) of methods from which a published standard may develop. This article provides an overview of OpenOA, highlighting its release as a public repository, modular software architecture, current functionality, and planned functionality in subsequent releases. It is our goal for OpenOA to evolve into an indispensable tool for performing operational analyses that is used and supported by a large community of wind energy experts.

This preprint has been withdrawn.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Mike Optis, Jordan Perr-Sauer, Caleb Philips, Anna E. Craig, Joseph C. Y. Lee, Travis Kemper, Shuangwen Sheng, Eric Simley, Lindy Williams, Monte Lunacek, John Meissner, and M. Jason Fields

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Mike Optis, Jordan Perr-Sauer, Caleb Philips, Anna E. Craig, Joseph C. Y. Lee, Travis Kemper, Shuangwen Sheng, Eric Simley, Lindy Williams, Monte Lunacek, John Meissner, and M. Jason Fields
Mike Optis, Jordan Perr-Sauer, Caleb Philips, Anna E. Craig, Joseph C. Y. Lee, Travis Kemper, Shuangwen Sheng, Eric Simley, Lindy Williams, Monte Lunacek, John Meissner, and M. Jason Fields

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This preprint has been withdrawn.

Short summary
As global wind capacity continues to grow, the need for accurate operational analyses of a rapidly growing fleet of wind power plants has increased in proportion. To address this need, the National Renewable Energy Laboratory has released OpenOA, an open-source codebase for operational analysis of wind farms. It is envisioned that OpenOA will evolve into a widely used codebase supported by a large group of global wind energy experts. This paper provides a summary of OpenOA.
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