Abstract
Siting Lab contains a collection of user-friendly tutorials and guides for working with the Siting Lab (https://data.openei.org/siting_lab) data within the context of the reV model. The python code examples demonstrate the creation and transformation of Siting Lab data into reV compliant format as well as working with the reV model inputs and outputs.
Specifically, Siting Lab provides a collection of Jupyter Notebooks that serve as guides for working with data from NREL's spatial analysis portfolio. These notebooks teach users how to create and interact with reV data in order to facilitate external use of the model. The guides in this repository reference NREL's Supply Curve data as well as Siting Lab spatial data available on OEDI.
- Developers:
-
Lopez, Anthony [1] ; Pinchuk, Pavlo [1] ; Williams, Travis [1]
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Release Date:
- 2024-10-01
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
Jupyter Notebook
- Version:
- 1.0.0
- Licenses:
-
BSD 3-clause "New" or "Revised" License
- Sponsoring Org.:
-
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies OfficePrimary Award/Contract Number:AC36-08GO28308
- Code ID:
- 145307
- Site Accession Number:
- NREL SWR-24-95
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Country of Origin:
- United States
Citation Formats
Lopez, Anthony, Pinchuk, Pavlo, and Williams, Travis.
Siting Lab [SWR-24-95].
Computer Software.
https://github.com/NREL/SitingLab.
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office.
01 Oct. 2024.
Web.
doi:10.11578/dc.20241007.4.
Lopez, Anthony, Pinchuk, Pavlo, & Williams, Travis.
(2024, October 01).
Siting Lab [SWR-24-95].
[Computer software].
https://github.com/NREL/SitingLab.
https://doi.org/10.11578/dc.20241007.4.
Lopez, Anthony, Pinchuk, Pavlo, and Williams, Travis.
"Siting Lab [SWR-24-95]." Computer software.
October 01, 2024.
https://github.com/NREL/SitingLab.
https://doi.org/10.11578/dc.20241007.4.
@misc{
doecode_145307,
title = {Siting Lab [SWR-24-95]},
author = {Lopez, Anthony and Pinchuk, Pavlo and Williams, Travis},
abstractNote = {Siting Lab contains a collection of user-friendly tutorials and guides for working with the Siting Lab (https://data.openei.org/siting_lab) data within the context of the reV model. The python code examples demonstrate the creation and transformation of Siting Lab data into reV compliant format as well as working with the reV model inputs and outputs.
Specifically, Siting Lab provides a collection of Jupyter Notebooks that serve as guides for working with data from NREL's spatial analysis portfolio. These notebooks teach users how to create and interact with reV data in order to facilitate external use of the model. The guides in this repository reference NREL's Supply Curve data as well as Siting Lab spatial data available on OEDI.},
doi = {10.11578/dc.20241007.4},
url = {https://doi.org/10.11578/dc.20241007.4},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20241007.4}},
year = {2024},
month = {oct}
}