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129 lines (129 loc) · 4.55 KB
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cff-version: 1.2.0
title: Siting Lab Tutorials
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- family-names: Pinchuk
given-names: Pavlo
affiliation: National Renewable Energy Laboratory
orcid: 'https://orcid.org/0000-0003-4736-4728'
- family-names: Lopez
given-names: Anthony
affiliation: National Renewable Energy Laboratory
orcid: 'https://orcid.org/0000-0002-5006-1675'
- family-names: Williams
given-names: Travis
affiliation: National Renewable Energy Laboratory
orcid: 'https://orcid.org/0000-0003-0973-1865'
- family-names: Igwe
given-names: Victor
affiliation: National Renewable Energy Laboratory
repository-code: 'https://github.com/NREL/SitingLab'
url: 'https://data.openei.org/siting_lab'
abstract: >-
The Siting Lab Tutorials repository contains a collection
of user-friendly tutorials and guides for working with the
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.
keywords:
- Energy Analysis
- reV
- Siting Lab
- Supply Curve
- siting
- utility-scale
- capacity
- generation
- cost of energy
- cost of transmission
- renewable energy
- solar energy
- wind energy
license: BSD-3-Clause
version: 1.0.0
date-released: '2024-10-01'
references:
- authors:
- family-names: Lopez
given-names: Anthony
affiliation: National Renewable Energy Laboratory
orcid: "https://orcid.org/0000-0002-5006-1675"
- family-names: Pinchuk
given-names: Pavlo
affiliation: National Renewable Energy Laboratory
orcid: "https://orcid.org/0000-0003-4736-4728"
- family-names: Gleason
given-names: Michael
affiliation: National Renewable Energy Laboratory
- family-names: Cole
given-names: Wesley
affiliation: National Renewable Energy Laboratory
orcid: "https://orcid.org/0000-0002-9194-065X"
- family-names: Mai
given-names: Trieu
affiliation: National Renewable Energy Laboratory
orcid: "https://orcid.org/0000-0003-1751-3892"
- family-names: Williams
given-names: Travis
affiliation: National Renewable Energy Laboratory
orcid: "https://orcid.org/0000-0003-0973-1865"
- family-names: Roberts
given-names: Owen
affiliation: National Renewable Energy Laboratory
orcid: "https://orcid.org/0000-0002-8945-3967"
- family-names: Rivers
given-names: Marie
affiliation: National Renewable Energy Laboratory
- family-names: Bannister
given-names: Mike
affiliation: National Renewable Energy Laboratory
- family-names: Thomson
given-names: Sophie-Min
affiliation: National Renewable Energy Laboratory
orcid: "https://orcid.org/0009-0005-9966-3887"
- family-names: Zuckerman
given-names: Gabe
affiliation: National Renewable Energy Laboratory
orcid: "https://orcid.org/0000-0002-4500-2662"
- family-names: Sergi
given-names: Brian
affiliation: National Renewable Energy Laboratory
orcid: "https://orcid.org/0000-0002-3453-9878"
title: "Solar Photovoltaics and Land-Based Wind Technical Potential and Supply Curves for the Contiguous United States (2023 Edition)"
type: report
doi: 10.2172/2283517
- authors:
- name: "Geospatial Data Science, NREL"
title: "United States Utility-Scale PV Supply Curves 2023"
type: data
doi: 10.25984/2428989
- authors:
- name: "Geospatial Data Science, NREL"
title: "United States Land-based Wind Supply Curves 2023"
type: data
doi: 10.25984/2428990
- authors:
- name: "Geospatial Data Science, NREL"
title: "Airport and Heliport Setbacks"
type: data
doi: 10.25984/2441167
- authors:
- name: "Geospatial Data Science, NREL"
title: "Next Generation Weather Radar (NEXRAD) Setback (4-km)"
type: data
doi: 10.25984/2441168
- authors:
- name: "Geospatial Data Science, NREL"
title: "Wind Turbine Oil and Gas Pipeline Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter"
type: data
doi: 10.25984/2441187
- authors:
- name: "Geospatial Data Science, NREL"
title: "Wind Turbine Structure Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter"
type: data
doi: 10.25984/2441180